From 7063690552da4da2e691a9c78982dfe5cbfd2e62 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Wed, 14 Jan 2026 13:47:01 -0800
Subject: [PATCH 01/22] Re-added hidden branch

---
 index.scss     |  8 +++++++-
 index.src.html | 11 +----------
 2 files changed, 8 insertions(+), 11 deletions(-)

diff --git a/index.scss b/index.scss
index ba2f8ba9..e4cb4d56 100644
--- a/index.scss
+++ b/index.scss
@@ -291,7 +291,13 @@ body.ushouse-selected {
       }
       a.unavailable
       {
-          display: none;
+          cursor: not-allowed;
+          path, circle {
+            stroke: #999;
+          }
+          text {
+            fill: #999;
+          }
       }
       a .hitarea {
           fill: rgba(0, 0, 0, 0);
diff --git a/index.src.html b/index.src.html
index 7e61b906..6486767f 100644
--- a/index.src.html
+++ b/index.src.html
@@ -499,22 +499,13 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
         </a>
 
         <!-- Top path -->
-        <a class="unavailable">
+        <a id="yearpicker-2026">
             <path d="M 0 32 C 16 32, 16 16, 32 16 L 36 16" />
             <rect class="background" x="42" y="8" width="106" height="16" rx="2" />
             <rect class="hitarea" x="20" y="8" width="130" height="20" />
             <circle cx="36" cy="16" r="4" />
             <text x="46" y="20">2024 + Remaps*</text>
         </a>
-
-        <!-- Sole path, for now -->
-        <a id="yearpicker-2026">
-            <path d="M 0 32 L 18 32" />
-            <rect class="background" x="24" y="24" width="106" height="16" rx="2" />
-            <rect class="hitarea" x="2" y="24" width="130" height="20" />
-            <circle cx="18" cy="32" r="4" />
-            <text x="28" y="36">2024 + Remaps*</text>
-        </a>
       </svg>
     </div>
   </div>

From 758bab6f80ceef50dc471f1faa28c1d6d9ead53d Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Thu, 15 Jan 2026 20:45:59 -0800
Subject: [PATCH 02/22] Connected "predict" branch of timeline to displays,
 links, and data

---
 .../data/bias_ushouse-elections.csv           | 50 +++++++++++++++++++
 index.js6                                     | 30 ++++++++---
 index.src.html                                | 17 ++++---
 3 files changed, 81 insertions(+), 16 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index 1d0d0aee..b71117b2 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1399,3 +1399,53 @@ cycle,stateabrev,newplan,EG,seats,url,districts
 2026,WI,,-0.220,8,,
 2026,WV,,-0.076,2,,
 2026,WY,,0.005,1,,
+predict,AK,,0.0,1,,
+predict,AL,,0.0,7,,
+predict,AR,,0.0,4,,
+predict,AZ,,0.0,9,,
+predict,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z,"[[0.909,0.552,330569],[0.999,0.618,377001],[0.852,0.542,353947],[0.943,0.564,333683],[0.001,0.379,353485],[0.767,0.531,325393],[0.908,0.555,335783],[1.0,0.668,302537],[0.887,0.55,259943],[1.0,0.668,365086],[1.0,0.853,346331],[1.0,0.89,303004],[0.403,0.489,202292],[1.0,0.673,274182],[1.0,0.742,294820],[1.0,0.747,328010],[1.0,0.698,252833],[1.0,0.638,230009],[1.0,0.673,363205],[0.0,0.318,308245],[0.673,0.519,196372],[0.274,0.475,166568],[0.004,0.387,269436],[0.999,0.621,340520],[0.694,0.52,264046],[0.963,0.571,333582],[0.828,0.538,286981],[1.0,0.623,316016],[1.0,0.669,231623],[1.0,0.704,329716],[0.888,0.554,283088],[1.0,0.624,349405],[0.843,0.54,241058],[1.0,0.763,204823],[0.755,0.53,252500],[1.0,0.695,373019],[1.0,0.808,227897],[0.904,0.553,252922],[0.84,0.539,227908],[0.036,0.422,369563],[0.943,0.562,301451],[0.936,0.56,338649],[1.0,0.75,216225],[1.0,0.677,212795],[0.562,0.507,291837],[0.954,0.573,220370],[0.86,0.542,344461],[0.552,0.507,320207],[0.893,0.553,376006],[0.987,0.587,360452],[0.982,0.585,345233],[0.976,0.581,265500]]"
+predict,CO,,0.0,8,,
+predict,CT,,0.0,5,,
+predict,DE,,0.0,1,,
+predict,FL,,0.0,28,,
+predict,GA,,0.0,14,,
+predict,HI,,0.0,2,,
+predict,IA,,0.0,4,,
+predict,ID,,0.0,2,,
+predict,IL,,0.0,17,,
+predict,IN,,0.0,9,,
+predict,KS,,0.0,4,,
+predict,KY,,0.0,6,,
+predict,LA,,0.0,6,,
+predict,MA,,0.0,9,,
+predict,MD,,0.0,8,,
+predict,ME,,0.0,2,,
+predict,MI,,0.0,13,,
+predict,MN,,0.0,8,,
+predict,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z,"[[1.0,0.8,310718],[0.048,0.433,415798],[0.004,0.389,400723],[0.001,0.381,391097],[0.005,0.399,327699],[0.0,0.353,371821],[0.0,0.269,370939],[0.0,0.209,363791]]"
+predict,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z,"[[0.0,0.283,319751],[1.0,0.644,283691],[0.0,0.324,320273],[0.0,0.255,290696]]"
+predict,MT,,0.0,2,,
+predict,NC,yes,0.0,14,https://planscore.org/plan.html?20251220T215350.341663516Z,"[[0.244,0.477,412424],[1.0,0.685,403685],[0.012,0.423,342337],[1.0,0.737,427800],[0.003,0.406,403093],[0.008,0.408,385622],[0.009,0.424,437996],[0.001,0.397,404040],[0.005,0.412,377628],[0.004,0.405,410898],[0.051,0.443,433922],[1.0,0.741,346755],[0.007,0.409,419635],[0.01,0.416,403525]]"
+predict,ND,,0.0,1,,
+predict,NE,,0.0,3,,
+predict,NH,,0.0,2,,
+predict,NJ,,0.0,12,,
+predict,NM,,0.0,3,,
+predict,NV,,0.0,4,,
+predict,NY,,0.0,26,,
+predict,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z,"[[0.213,0.469,393485],[0.0,0.248,373151],[1.0,0.709,354655],[0.0,0.245,392876],[0.0,0.353,383974],[0.0,0.29,362582],[0.025,0.422,422478],[0.006,0.395,398786],[0.036,0.426,377567],[0.066,0.441,375479],[1.0,0.791,318228],[0.0,0.317,406615],[0.506,0.502,386792],[0.001,0.369,410013],[0.03,0.426,357133]]"
+predict,OK,,0.0,5,,
+predict,OR,,0.0,6,,
+predict,PA,,0.0,17,,
+predict,RI,,0.0,2,,
+predict,SC,,0.0,7,,
+predict,SD,,0.0,1,,
+predict,TN,,0.0,9,,
+predict,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z,"[[0.0,0.231,322789],[0.0,0.374,324879],[0.0,0.363,360471],[0.0,0.358,359800],[0.0,0.376,289675],[0.0,0.367,305093],[1.0,0.647,243178],[0.0,0.371,307201],[0.009,0.423,206561],[0.0,0.385,348072],[0.0,0.308,288718],[0.0,0.363,310418],[0.0,0.245,300574],[0.0,0.339,319160],[0.001,0.395,225827],[0.999,0.603,228701],[0.0,0.377,315012],[1.0,0.8,256659],[0.0,0.234,279570],[1.0,0.667,223891],[0.002,0.389,409493],[0.001,0.395,335361],[0.005,0.408,312690],[0.003,0.404,366050],[0.0,0.363,305656],[0.0,0.363,382101],[0.001,0.375,319985],[0.157,0.465,197404],[1.0,0.679,177312],[1.0,0.75,240014],[0.0,0.37,346093],[0.007,0.412,316848],[1.0,0.69,204530],[0.153,0.466,238229],[0.057,0.447,298179],[0.0,0.313,297228],[1.0,0.813,320120],[0.001,0.395,344997]]"
+predict,UT,yes,0.0,4,https://planscore.org/plan.html?20260109T043743.846525206Z,"[[0.944,0.559,317805],[0.0,0.35,356976],[0.0,0.3,376228],[0.0,0.336,393802]]"
+predict,VA,,0.0,11,,
+predict,VT,,0.0,1,,
+predict,WA,,0.0,10,,
+predict,WI,,0.0,8,,
+predict,WV,,0.0,2,,
+predict,WY,,0.0,1,,
diff --git a/index.js6 b/index.js6
index 771e7519..83837e99 100644
--- a/index.js6
+++ b/index.js6
@@ -182,7 +182,7 @@ window.initLoadStartingConditions = () => {
     let year = PLAN_YEARS[PLAN_YEARS.length - 1];
     let type = 'ushouse';
 
-    const year_and_type = /^#!(\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
+    const year_and_type = /^#!(predict|\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
     if (year_and_type) {
         year = year_and_type[1];
         type = year_and_type[2];
@@ -383,7 +383,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
     });
 
     function updateTooltipContent(stateInfo) {
-        const isPrediction = (CURRENT_VIEW.year == 2026) && stateInfo.url;
+        const isPrediction = (CURRENT_VIEW.year == 2026 || CURRENT_VIEW.year == 'predict') && stateInfo.url;
 
         // Update tooltip content with state data
         $('#state-tooltip .state-name').text(stateInfo.name);
@@ -404,8 +404,15 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
         const stateslug = stateInfo.name.toLowerCase().replace(/\W/g, '_');
         const currview = CURRENT_VIEW.boundtype;
         const moreinfourl = stateInfo.url ? stateInfo.url : `/${stateslug}/#!${CURRENT_VIEW.year}-${plan_or_election}-${currview}`;
-        const curryear = isPrediction ? '2024+Remaps<sup>*</sup>' : (CURRENT_VIEW.year == 2026 ? 2024 : CURRENT_VIEW.year);
-        const linkHtml = `(${curryear} Plan)`;
+        var labelPrefix = CURRENT_VIEW.year;
+        if (CURRENT_VIEW.year == 'predict') {
+            labelPrefix = 'Predicted';
+        } else if (isPrediction) {
+            labelPrefix = '2024+Remaps<sup>*</sup>';
+        } else if (CURRENT_VIEW.year == 2026) {
+            labelPrefix = 2024;
+        }
+        const linkHtml = `(${labelPrefix} Plan)`;
         $('#state-tooltip .link').attr('href', moreinfourl).html(linkHtml);
 
         // Show/hide link based on data and seat count
@@ -443,8 +450,15 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             const biasEval = lookupBias('eg', nationalEG, CURRENT_VIEW.boundtype);
             const absBiasPercent = twoDigits(Math.abs(100 * nationalEG));
             const absBiasSeats = twoDigits(Math.abs(nationalEG * totalSeats));
-            const currYear = CURRENT_VIEW.year == 2026 ? '2024+Remaps<sup>*</sup>' : CURRENT_VIEW.year;
-            const turnoutNote = CURRENT_VIEW.year == 2026 ? '<sup>†</sup>' : '';
+            var currYear = CURRENT_VIEW.year;
+            var turnoutNote = '';
+            if (CURRENT_VIEW.year == 'predict') {
+                currYear = '2026 Predictions';
+                turnoutNote = '<sup>†</sup>';
+            } else if(CURRENT_VIEW.year == 2026) {
+                currYear = '2024+Remaps<sup>*</sup>';
+                turnoutNote = '<sup>†</sup>';
+            }
             $('#ushouse-legend .swatch').css({ 'background': biasEval.color });
             $('#ushouse-legend .caption').html(`Total ${currYear} Bias:`);
             $('#ushouse-legend .bias').html(`${absBiasPercent}% (${absBiasSeats} seats)${turnoutNote} pro-${biasEval.party}`);
@@ -804,8 +818,8 @@ window.selectYear = (year, options={}) => {
     // but hide it if year 2026 is selected (which is in the yearpicker-future SVG)
     const $current = $('#yearpicker-current', $picker_big);
 
-    if (year == 2026) {
-        // year 2026 is in yearpicker-future, so hide the current indicator
+    if (year == 2026 || year == "predict") {
+        // years past 2024 are in yearpicker-future, so hide the current indicator
         $current.hide();
     } else {
         // show the indicator and position it at the selected year
diff --git a/index.src.html b/index.src.html
index 6486767f..39033e97 100644
--- a/index.src.html
+++ b/index.src.html
@@ -490,14 +490,6 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
         <a id="yearpicker-2024"><rect class="hitarea" x="96.85%" y="20" width="3.70%" height="24" /><circle cx="98.70%" cy="32" r="4" /></a>
       </svg>
       <svg id="yearpicker-future" version="1.1" xmlns="http://www.w3.org/2000/svg" width="100%" height="100">
-        <!-- Bottom path -->
-        <a class="unavailable">
-            <path d="M 0 32 C 16 32, 16 36, 32 36 L 36 36" />
-            <rect class="hitarea" x="20" y="28" width="130" height="50" />
-            <circle cx="36" cy="36" r="4" />
-            <text x="46" y="40">2026 Predictions</text>
-        </a>
-
         <!-- Top path -->
         <a id="yearpicker-2026">
             <path d="M 0 32 C 16 32, 16 16, 32 16 L 36 16" />
@@ -506,6 +498,15 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <circle cx="36" cy="16" r="4" />
             <text x="46" y="20">2024 + Remaps*</text>
         </a>
+
+        <!-- Bottom path -->
+        <a id="yearpicker-predict">
+            <path d="M 0 32 C 16 32, 16 36, 32 36 L 36 36" />
+            <rect class="background" x="42" y="28" width="108" height="50" rx="2" />
+            <rect class="hitarea" x="20" y="28" width="130" height="50" />
+            <circle cx="36" cy="36" r="4" />
+            <text x="46" y="40">2026 Predictions</text>
+        </a>
       </svg>
     </div>
   </div>

From 3ed471af5349ae21643f227ad1f1681934a91de5 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Thu, 15 Jan 2026 21:20:28 -0800
Subject: [PATCH 03/22] Added rigging for prediction slider and thumb

---
 index.scss     | 29 +++++++++++++++++++++++++----
 index.src.html |  5 +++++
 2 files changed, 30 insertions(+), 4 deletions(-)

diff --git a/index.scss b/index.scss
index e4cb4d56..9ffdfba4 100644
--- a/index.scss
+++ b/index.scss
@@ -326,14 +326,35 @@ body.ushouse-selected {
     }
 
     #yearpicker-future {
+      a.active {
+        cursor: inherit;
+      }
       a.active text {
         fill: white;
       }
-      a .background {
-        visibility: hidden;
+      a {
+        .background, #yearpicker-predict-slider, #yearpicker-predict-thumb {
+          visibility: hidden;
+        }
+      }
+      a.active {
+        .background, #yearpicker-predict-slider, #yearpicker-predict-thumb {
+          visibility: visible;
+        }
+      }
+      #yearpicker-predict-slider {
+        fill: white;
       }
-      a.active .background {
-        visibility: visible;
+      #yearpicker-predict-thumb {
+        cursor: pointer;
+        circle {
+          fill: black;
+          stroke: none;
+        }
+        text {
+          font-size: 10px;
+          text-anchor: middle;
+        }
       }
     }
 }
diff --git a/index.src.html b/index.src.html
index 39033e97..87898d90 100644
--- a/index.src.html
+++ b/index.src.html
@@ -506,6 +506,11 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <rect class="hitarea" x="20" y="28" width="130" height="50" />
             <circle cx="36" cy="36" r="4" />
             <text x="46" y="40">2026 Predictions</text>
+            <rect id="yearpicker-predict-slider" x="56" y="48" width="80" height="12" />
+            <g id="yearpicker-predict-thumb">
+                <circle cx="96" cy="54" r="5" />
+                <text x="96" y="71">D+12</text>
+            </g>
         </a>
       </svg>
     </div>

From bacf18106f09202ac98f4cef7df4270f915ac6ec Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Thu, 15 Jan 2026 21:38:33 -0800
Subject: [PATCH 04/22] Added draggable prediction slider functionality
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

## Initial User Prompt
> "Look at the most recent commit for context. I just added a slider widget with a thumb that should be draggable. Make a plan for hooking mouse events up to this slider so that it's possible to drag it left and right with the circle staying inside the bounds of the slider rectangle."

## Refinement Requests

1. **Code organization**: "How will you isolate the code for this so it's cleanly in its own named function?"

2. **Lazy initialization**: "I think the new init function should only be called when the slider is revealed by activating #yearpicker-future, how does that change your plan?"

3. **Constraints and improvements**: "Let's limit the x/y distance the slider can go so the thumb circle stays visible inside the slider with a 1px boundary. Let's scale the positive and negative display to max out at R+12 / D+12 at either end. Let's also use a matrix transform on the <g id="yearpicker-predict-thumb"> element when we move it so the group moves as a whole unit with just one place to change x and y values."

4. **Dynamic configuration**: "When setting up PREDICTION_SLIDER, can you use position values read from the #yearpicker-predict-slider instead of provided as numeric constants"

5. **Direction reversal**: "Please reverse the direction so D = positive = left and R = negative = right, then make the default initial position zero"

## Changes Made

### 1. **Added PREDICTION_SLIDER constant** (index.js6:33-43)
- Tracks drag state and dynamically calculated boundaries
- Value range: -12 to +12, default: 0 ("Even")

### 2. **Created window.initPredictionSlider() function** (index.js6:183-265)
- Lazy initialization when "2026 Predictions" is activated
- Reads all dimensions from DOM (slider position, circle radius)
- Calculates bounds with 1px clearance automatically
- Uses matrix transform translate(x, 0) to move entire thumb group
- Handles mousedown/mousemove/mouseup with SVG coordinate transformation
- Reversed mapping: left = D (positive), right = R (negative)

### 3. **Modified selectYear() function** (index.js6:915-918)
- Calls initPredictionSlider() when predict mode is activated

### 4. **Updated HTML** (index.src.html:512)
- Changed default label to "Even"

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 index.js6      | 121 +++++++++++++++++++++++++++++++++++++++++++++++++
 index.src.html |   2 +-
 2 files changed, 122 insertions(+), 1 deletion(-)

diff --git a/index.js6 b/index.js6
index 83837e99..a4ab770e 100644
--- a/index.js6
+++ b/index.js6
@@ -30,6 +30,18 @@ const ANIMATION = {
     timer: undefined,  // if playing, an interval handle from setInterval(); else undefined
 };
 
+// prediction slider state; see initPredictionSlider()
+const PREDICTION_SLIDER = {
+    isDragging: false,
+    initialized: false,
+    minX: null,      // set during initialization from DOM
+    maxX: null,      // set during initialization from DOM
+    centerY: null,   // set during initialization from DOM
+    minValue: -12,   // R+12 (right side)
+    maxValue: 12,    // D+12 (left side)
+    currentValue: 0, // default: Even (center)
+};
+
 // the map uses a choropleth constructed from BELLCURVE_SPREAD
 // but for nodata states, use this NODATA value and this color fill
 const MAP_NODATA_VALUE = 999999;
@@ -168,6 +180,110 @@ window.initYearPickers = () => {
     });
 };
 
+window.initPredictionSlider = () => {
+    // lazy initialization: only set up once when predict mode is first activated
+    if (PREDICTION_SLIDER.initialized) return;
+    PREDICTION_SLIDER.initialized = true;
+
+    const $thumb = $('#yearpicker-predict-thumb');
+    const $circle = $thumb.find('circle');
+    const $label = $thumb.find('text');
+    const $slider = $('#yearpicker-predict-slider');
+
+    // read slider dimensions from DOM
+    const sliderX = parseFloat($slider.attr('x'));
+    const sliderWidth = parseFloat($slider.attr('width'));
+    const sliderY = parseFloat($slider.attr('y'));
+    const sliderHeight = parseFloat($slider.attr('height'));
+    const circleRadius = parseFloat($circle.attr('r'));
+
+    // calculate bounds with 1px clearance for circle
+    PREDICTION_SLIDER.minX = sliderX + circleRadius + 1;
+    PREDICTION_SLIDER.maxX = sliderX + sliderWidth - circleRadius - 1;
+    PREDICTION_SLIDER.centerY = sliderY + (sliderHeight / 2);
+
+    // original position of thumb in SVG (read from DOM)
+    const originalX = parseFloat($circle.attr('cx'));
+    const originalY = parseFloat($circle.attr('cy'));
+
+    // helper: convert slider position (x coordinate) to prediction value
+    // reversed: left = D (positive), right = R (negative)
+    const positionToValue = (x) => {
+        const fraction = (x - PREDICTION_SLIDER.minX) / (PREDICTION_SLIDER.maxX - PREDICTION_SLIDER.minX);
+        return Math.round(PREDICTION_SLIDER.maxValue - fraction * (PREDICTION_SLIDER.maxValue - PREDICTION_SLIDER.minValue));
+    };
+
+    // helper: convert prediction value to slider position (x coordinate)
+    // reversed: left = D (positive), right = R (negative)
+    const valueToPosition = (value) => {
+        const fraction = (PREDICTION_SLIDER.maxValue - value) / (PREDICTION_SLIDER.maxValue - PREDICTION_SLIDER.minValue);
+        return PREDICTION_SLIDER.minX + fraction * (PREDICTION_SLIDER.maxX - PREDICTION_SLIDER.minX);
+    };
+
+    // helper: format value as label text
+    const formatLabel = (value) => {
+        if (value === 0) return 'Even';
+        return value > 0 ? `D+${value}` : `R+${Math.abs(value)}`;
+    };
+
+    // helper: update thumb position and label using matrix transform
+    const updateThumb = (x) => {
+        // constrain x to slider bounds
+        const constrainedX = Math.max(PREDICTION_SLIDER.minX, Math.min(PREDICTION_SLIDER.maxX, x));
+        const value = positionToValue(constrainedX);
+
+        PREDICTION_SLIDER.currentValue = value;
+
+        // calculate translation offset from original position
+        const translateX = constrainedX - originalX;
+
+        // apply matrix transform to move entire group
+        $thumb.attr('transform', `translate(${translateX}, 0)`);
+
+        // update label text
+        $label.text(formatLabel(value));
+    };
+
+    // prevent thumb click from triggering parent link
+    $thumb.on('click', function (event) {
+        event.preventDefault();
+        event.stopPropagation();
+    });
+
+    // mousedown on thumb: start dragging
+    $thumb.on('mousedown', function (event) {
+        event.preventDefault();
+        event.stopPropagation();
+        PREDICTION_SLIDER.isDragging = true;
+        $thumb.css('cursor', 'grabbing');
+    });
+
+    // mousemove on document: update position if dragging
+    $(document).on('mousemove.predictionslider', function (event) {
+        if (!PREDICTION_SLIDER.isDragging) return;
+
+        // get mouse position relative to the SVG
+        const svg = $('#yearpicker-future')[0];
+        const pt = svg.createSVGPoint();
+        pt.x = event.clientX;
+        pt.y = event.clientY;
+        const svgP = pt.matrixTransform(svg.getScreenCTM().inverse());
+
+        updateThumb(svgP.x);
+    });
+
+    // mouseup on document: stop dragging
+    $(document).on('mouseup.predictionslider', function () {
+        if (PREDICTION_SLIDER.isDragging) {
+            PREDICTION_SLIDER.isDragging = false;
+            $thumb.css('cursor', 'pointer');
+        }
+    });
+
+    // initialize thumb to current value
+    updateThumb(valueToPosition(PREDICTION_SLIDER.currentValue));
+};
+
 window.initBoundaryPicker = () => {
     $('#boundarypicker div[data-boundary]').click(function () {
         const boundarytype = $(this).attr('data-boundary');
@@ -821,6 +937,11 @@ window.selectYear = (year, options={}) => {
     if (year == 2026 || year == "predict") {
         // years past 2024 are in yearpicker-future, so hide the current indicator
         $current.hide();
+
+        // initialize prediction slider when predict mode is activated
+        if (year == "predict") {
+            initPredictionSlider();
+        }
     } else {
         // show the indicator and position it at the selected year
         $current.show();
diff --git a/index.src.html b/index.src.html
index 87898d90..2b165fff 100644
--- a/index.src.html
+++ b/index.src.html
@@ -509,7 +509,7 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <rect id="yearpicker-predict-slider" x="56" y="48" width="80" height="12" />
             <g id="yearpicker-predict-thumb">
                 <circle cx="96" cy="54" r="5" />
-                <text x="96" y="71">D+12</text>
+                <text x="96" y="71">Even</text>
             </g>
         </a>
       </svg>

From 941d33a37960cb6a70179cac73582d4d96882059 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Thu, 15 Jan 2026 21:42:12 -0800
Subject: [PATCH 05/22] Added a hitarea for the slider

---
 index.src.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/index.src.html b/index.src.html
index 2b165fff..0162b067 100644
--- a/index.src.html
+++ b/index.src.html
@@ -508,6 +508,7 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <text x="46" y="40">2026 Predictions</text>
             <rect id="yearpicker-predict-slider" x="56" y="48" width="80" height="12" />
             <g id="yearpicker-predict-thumb">
+                <rect class="hitarea" x="80" y="44" width="32" height="30" />
                 <circle cx="96" cy="54" r="5" />
                 <text x="96" y="71">Even</text>
             </g>

From 0b85196f5c89abe37bd9867df602b6a2a062a031 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Thu, 15 Jan 2026 21:49:47 -0800
Subject: [PATCH 06/22] Refactored prediction slider thumb to use zero-based
 coordinates
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

## User Request (Verbatim)
> "Look at the last two commits for a recent slider we added. I want to change the x positions inside <g id="yearpicker-predict-thumb"> so that they are 96px to the left making the center of the circle element cx="0", then compensate for this x-shift by using the translate transformation we are already setting in initPredictionSlider(). The HTML by default should have the translation defined so it doesn't look weird without Javascript, and the visual behavior of the slider and thumb should be completely unchanged after this. Only the math will change so the zero values make a little more sense in the HTML/SVG definition. What is your plan?"

> "Don't use a fixed value of 96, use the value from the group's transform. Update your plan."

## Changes Implemented

**HTML (index.src.html:510-514)**: Added transform="translate(96, 0)" to the <g> element and shifted all child x-coordinates 96px left (circle cx="96" → cx="0", rect x="80" → x="-16", text x="96" → x="0")

**JavaScript (index.js6:205-208)**: Changed originalX from reading $circle.attr('cx') to parsing the group's transform attribute: const transformMatch = $thumb.attr('transform')?.match(/translate\(([^,]+)/); const originalX = transformMatch ? parseFloat(transformMatch[1]) : 0;

**Result**: Circle centered at cx="0" with cleaner zero-based math, visual behavior unchanged.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 index.js6      | 5 +++--
 index.src.html | 8 ++++----
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/index.js6 b/index.js6
index a4ab770e..3511fc89 100644
--- a/index.js6
+++ b/index.js6
@@ -202,8 +202,9 @@ window.initPredictionSlider = () => {
     PREDICTION_SLIDER.maxX = sliderX + sliderWidth - circleRadius - 1;
     PREDICTION_SLIDER.centerY = sliderY + (sliderHeight / 2);
 
-    // original position of thumb in SVG (read from DOM)
-    const originalX = parseFloat($circle.attr('cx'));
+    // original position of thumb in SVG (read from group's transform)
+    const transformMatch = $thumb.attr('transform')?.match(/translate\(([^,]+)/);
+    const originalX = transformMatch ? parseFloat(transformMatch[1]) : 0;
     const originalY = parseFloat($circle.attr('cy'));
 
     // helper: convert slider position (x coordinate) to prediction value
diff --git a/index.src.html b/index.src.html
index 0162b067..ba05081c 100644
--- a/index.src.html
+++ b/index.src.html
@@ -507,10 +507,10 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <circle cx="36" cy="36" r="4" />
             <text x="46" y="40">2026 Predictions</text>
             <rect id="yearpicker-predict-slider" x="56" y="48" width="80" height="12" />
-            <g id="yearpicker-predict-thumb">
-                <rect class="hitarea" x="80" y="44" width="32" height="30" />
-                <circle cx="96" cy="54" r="5" />
-                <text x="96" y="71">Even</text>
+            <g id="yearpicker-predict-thumb" transform="translate(96, 0)">
+                <rect class="hitarea" x="-16" y="44" width="32" height="30" />
+                <circle cx="0" cy="54" r="5" />
+                <text x="0" y="71">Even</text>
             </g>
         </a>
       </svg>

From 0b812ee490c35eff83e523b640704b9f9843895b Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Thu, 15 Jan 2026 22:18:41 -0800
Subject: [PATCH 07/22] Extended prediction slider to match state with slider
 position
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

## User's Initial Request (Verbatim):
> "Look at the last four commits for context on some recent changes we should extend. In those changes we added a new "predict" view state with a slider in it that can be dragged left and right. I want the "predict" text throughout this code to match the slider state: "predict0" for when it's at zero, "predictD12" for a D+12 value, "predictR12" for R+12, and similar integer-only values between those extremes. The new CSV rows will still be prefixed with just plain "predict", the R/D suffix will be for the frontend only. What is your plan?"

## Implementation:
Successfully implemented helper functions and logic to track slider position in frontend state while CSV data remains unchanged:

**Helper Functions:**
- getPredictionYearString(value): Converts -12 to +12 into "predictR12", "predict0", "predictD12", etc.
- isPredictionYear(year): Checks if year starts with "predict"
- getBaseYear(year): Extracts "predict" for CSV lookups from any variant

**Key Changes:**
- Updated CSV filtering to use base year for data lookups
- Modified all display/comparison logic to use isPredictionYear() helper
- Updated URL hash regex to support new prediction year formats (predict0, predictD12, predictR12, etc.)
- Modified year picker click handler to convert "predict" to appropriate prediction year string

## Issues Encountered and Fixed:

1. **Parse Error**: Replaced optional chaining ?. with explicit null check for compatibility

2. **Initialization Timing**: Moved CURRENT_VIEW.year = year assignment before initPredictionSlider() call so slider init has access to current year

3. **Unnecessary Data Reloads**: Changed slider drag to only update CURRENT_VIEW.year and hash, not trigger full selectYear() with data reload

4. **Critical Positioning Bug**: Original code calculated translateX = constrainedX - originalX which moved the circle to position 0. Fixed by using absolute position directly: translateX = constrainedX. Since the circle is at cx="0" within the group, the group's translation value IS the absolute position of the circle.

## Final Result:
- Slider positions correctly and is fully draggable within bounds
- URL hash updates in real-time (e.g., #!predictD5-ushouse)
- CSV data still uses plain "predict" prefix
- All display logic correctly handles prediction year variants

**Files Modified:** index.js6

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 index.js6 | 110 ++++++++++++++++++++++++++++++++++++++++++++----------
 1 file changed, 90 insertions(+), 20 deletions(-)

diff --git a/index.js6 b/index.js6
index 3511fc89..53dca388 100644
--- a/index.js6
+++ b/index.js6
@@ -169,7 +169,13 @@ window.initYearPickers = () => {
     // attach to all year elements in both timeline and future
     $('#yearpicker-timeline a[id^="yearpicker-"], #yearpicker-future a[id^="yearpicker-"]', $picker_big).on('click', function () {
         const elementId = $(this).attr('id');
-        const year = elementId.replace('yearpicker-', '');
+        let year = elementId.replace('yearpicker-', '');
+
+        // When clicking on predict, use the current slider value to determine the year
+        if (year === 'predict') {
+            year = getPredictionYearString(PREDICTION_SLIDER.currentValue);
+        }
+
         selectYear(year);
         logToGoogleAnalytics('yearselected', year);
     });
@@ -203,7 +209,8 @@ window.initPredictionSlider = () => {
     PREDICTION_SLIDER.centerY = sliderY + (sliderHeight / 2);
 
     // original position of thumb in SVG (read from group's transform)
-    const transformMatch = $thumb.attr('transform')?.match(/translate\(([^,]+)/);
+    const transformAttr = $thumb.attr('transform');
+    const transformMatch = transformAttr ? transformAttr.match(/translate\(([^,]+)/) : null;
     const originalX = transformMatch ? parseFloat(transformMatch[1]) : 0;
     const originalY = parseFloat($circle.attr('cy'));
 
@@ -228,21 +235,32 @@ window.initPredictionSlider = () => {
     };
 
     // helper: update thumb position and label using matrix transform
-    const updateThumb = (x) => {
+    const updateThumb = (x, skipYearUpdate = false) => {
         // constrain x to slider bounds
         const constrainedX = Math.max(PREDICTION_SLIDER.minX, Math.min(PREDICTION_SLIDER.maxX, x));
         const value = positionToValue(constrainedX);
 
         PREDICTION_SLIDER.currentValue = value;
 
-        // calculate translation offset from original position
-        const translateX = constrainedX - originalX;
+        // x is the desired absolute position, use it directly as translation
+        // (since circle is at cx="0" in the group, translation = absolute position)
+        const translateX = constrainedX;
 
         // apply matrix transform to move entire group
         $thumb.attr('transform', `translate(${translateX}, 0)`);
 
         // update label text
         $label.text(formatLabel(value));
+
+        // update the year state to match slider position
+        if (!skipYearUpdate) {
+            const predictionYear = getPredictionYearString(value);
+            // Only update the year and hash, don't reload data or trigger full selectYear
+            if (CURRENT_VIEW.year !== predictionYear) {
+                CURRENT_VIEW.year = predictionYear;
+                updateAddressHash();
+            }
+        }
     };
 
     // prevent thumb click from triggering parent link
@@ -282,7 +300,16 @@ window.initPredictionSlider = () => {
     });
 
     // initialize thumb to current value
-    updateThumb(valueToPosition(PREDICTION_SLIDER.currentValue));
+    const initialPosition = valueToPosition(PREDICTION_SLIDER.currentValue);
+    updateThumb(initialPosition, true);
+
+    // After initialization, update the year state to match the slider position
+    // This ensures CURRENT_VIEW.year and the hash are correct
+    const predictionYear = getPredictionYearString(PREDICTION_SLIDER.currentValue);
+    if (CURRENT_VIEW.year !== predictionYear) {
+        CURRENT_VIEW.year = predictionYear;
+        updateAddressHash();
+    }
 };
 
 window.initBoundaryPicker = () => {
@@ -299,12 +326,29 @@ window.initLoadStartingConditions = () => {
     let year = PLAN_YEARS[PLAN_YEARS.length - 1];
     let type = 'ushouse';
 
-    const year_and_type = /^#!(predict|\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
+    // Match: predict, predict0, predictD12, predictR12, or 4-digit years
+    const year_and_type = /^#!(predict(?:[DR]\d+|\d+)?|\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
     if (year_and_type) {
         year = year_and_type[1];
         type = year_and_type[2];
     }
 
+    // If we have a prediction year from the URL, parse it and set the slider value
+    if (isPredictionYear(year)) {
+        const match = year.match(/predict([DR])?(\d+)?/);
+        if (match) {
+            const party = match[1];  // 'D', 'R', or undefined
+            const value = match[2] ? parseInt(match[2]) : 0;
+            if (party === 'R') {
+                PREDICTION_SLIDER.currentValue = -value;
+            } else if (party === 'D') {
+                PREDICTION_SLIDER.currentValue = value;
+            } else {
+                PREDICTION_SLIDER.currentValue = 0;
+            }
+        }
+    }
+
     // ready, set, go
     selectYear(year);
     selectBoundaryType(type);
@@ -325,6 +369,27 @@ window.handleResize = () => {
 // loadDataForSelectedBoundaryAndYear() is the real worker here; the others are basically convenience functions
 //
 
+// Helper: Convert prediction slider value to year string
+// value: -12 to +12 (negative = R, positive = D, 0 = Even)
+// returns: "predict0", "predictD12", "predictR12", etc.
+window.getPredictionYearString = (value) => {
+    if (value === 0) return 'predict0';
+    if (value > 0) return `predictD${value}`;
+    return `predictR${Math.abs(value)}`;
+};
+
+// Helper: Check if a year string is a prediction year
+// returns: true for "predict", "predict0", "predictD5", "predictR12", etc.
+window.isPredictionYear = (year) => {
+    return String(year).startsWith('predict');
+};
+
+// Helper: Extract base year from prediction string for CSV lookup
+// returns: "predict" for all prediction variants, or the original year for others
+window.getBaseYear = (year) => {
+    return isPredictionYear(year) ? 'predict' : year;
+};
+
 window.loadDataForSelectedBoundaryAndYear = (options={}) => {
     if (! CURRENT_VIEW.year || ! CURRENT_VIEW.boundtype) return;  // need both; during startup one will be blank, so avoid an error
 
@@ -356,7 +421,8 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             // primarily used when switching district types, as not all district types have the same coverage for every year (e.g. State House 2016)
             if (options.fudgeYearIfNoData) {
                 const yearColumn = CURRENT_VIEW.boundtype === 'ushouse' ? 'cycle' : 'year';
-                const hasdata = results.data.filter((datarow) => { return datarow[yearColumn] == CURRENT_VIEW.year; }).length;
+                const baseYear = getBaseYear(CURRENT_VIEW.year);
+                const hasdata = results.data.filter((datarow) => { return datarow[yearColumn] == baseYear; }).length;
                 if (! hasdata) {
                     const wehavetheseyears = results.data.map((datarow) => {
                         return datarow[yearColumn] ? parseInt(datarow[yearColumn]) : 0;  // workaround for 176, iOS 11 including blank rows so year=NaN
@@ -459,13 +525,15 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             // filter by the year (geography is implicit by which CSV was fetched)
             // and for each row assign the bias score to the state's row in the above
             // this is loop-within-loop as we match arrays to arrays, but P=50 and Q=20ish so it's affordable
+            const baseYear = getBaseYear(CURRENT_VIEW.year);
             results.data.forEach(function (datarow) {
                 // Boolean flag for mid-cycle redistricting on this plan
-                const midCycleplan = (datarow.newplan == "yes") && (CURRENT_VIEW.year % 10 != 2);
+                const numericYear = isPredictionYear(CURRENT_VIEW.year) ? 2026 : CURRENT_VIEW.year;
+                const midCycleplan = (datarow.newplan == "yes") && (numericYear % 10 != 2);
 
                 // For ushouse, use different column names
                 if (CURRENT_VIEW.boundtype === 'ushouse') {
-                    if (datarow.cycle != CURRENT_VIEW.year) return;  // wrong year; next
+                    if (datarow.cycle != baseYear) return;  // wrong year; next
                     const chartrow = chartdata.filter((filteringthisonerow) => { return filteringthisonerow.abbr == datarow.stateabrev; })[0];
                     if (!chartrow) return;  // state not found, skip
                     chartrow.value = parseFloat(datarow.EG);
@@ -476,7 +544,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                     chartrow.stateScale = datarow.stateScale;
                     chartrow.midcyclePlan = midCycleplan;
                 } else {
-                    if (datarow.year != CURRENT_VIEW.year) return;  // wrong year; next
+                    if (datarow.year != baseYear) return;  // wrong year; next
                     const chartrow = chartdata.filter((filteringthisonerow) => { return filteringthisonerow.abbr == datarow.state; })[0];
                     if (!chartrow) return;  // state not found, skip
                     chartrow.value = parseFloat(datarow.eg_adj_avg);
@@ -500,7 +568,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
     });
 
     function updateTooltipContent(stateInfo) {
-        const isPrediction = (CURRENT_VIEW.year == 2026 || CURRENT_VIEW.year == 'predict') && stateInfo.url;
+        const isPrediction = (CURRENT_VIEW.year == 2026 || isPredictionYear(CURRENT_VIEW.year)) && stateInfo.url;
 
         // Update tooltip content with state data
         $('#state-tooltip .state-name').text(stateInfo.name);
@@ -522,7 +590,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
         const currview = CURRENT_VIEW.boundtype;
         const moreinfourl = stateInfo.url ? stateInfo.url : `/${stateslug}/#!${CURRENT_VIEW.year}-${plan_or_election}-${currview}`;
         var labelPrefix = CURRENT_VIEW.year;
-        if (CURRENT_VIEW.year == 'predict') {
+        if (isPredictionYear(CURRENT_VIEW.year)) {
             labelPrefix = 'Predicted';
         } else if (isPrediction) {
             labelPrefix = '2024+Remaps<sup>*</sup>';
@@ -569,7 +637,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             const absBiasSeats = twoDigits(Math.abs(nationalEG * totalSeats));
             var currYear = CURRENT_VIEW.year;
             var turnoutNote = '';
-            if (CURRENT_VIEW.year == 'predict') {
+            if (isPredictionYear(CURRENT_VIEW.year)) {
                 currYear = '2026 Predictions';
                 turnoutNote = '<sup>†</sup>';
             } else if(CURRENT_VIEW.year == 2026) {
@@ -928,19 +996,24 @@ window.selectYear = (year, options={}) => {
     // remove active class from all years and add to the selected one
     const $picker_big = $('#yearpicker-big');
     $('#yearpicker-timeline a[id^="yearpicker-"], #yearpicker-future a[id^="yearpicker-"]', $picker_big).removeClass('active');
-    $(`#yearpicker-${year}`, $picker_big).addClass('active');
+    // For prediction years, activate the "predict" element
+    const yearForPicker = isPredictionYear(year) ? 'predict' : year;
+    $(`#yearpicker-${yearForPicker}`, $picker_big).addClass('active');
+
+    // save to the state BEFORE initializing slider (slider init needs this to be set)
+    CURRENT_VIEW.year = year;
 
     // UI update: yearpicker-current indicator position and text
     // move the current year indicator to match the selected year's position
     // but hide it if year 2026 is selected (which is in the yearpicker-future SVG)
     const $current = $('#yearpicker-current', $picker_big);
 
-    if (year == 2026 || year == "predict") {
+    if (year == 2026 || isPredictionYear(year)) {
         // years past 2024 are in yearpicker-future, so hide the current indicator
         $current.hide();
 
         // initialize prediction slider when predict mode is activated
-        if (year == "predict") {
+        if (isPredictionYear(year)) {
             initPredictionSlider();
         }
     } else {
@@ -964,9 +1037,6 @@ window.selectYear = (year, options={}) => {
         }
     }
 
-    // save to the state and refresh the map + data
-    CURRENT_VIEW.year = year;
-
     loadDataForSelectedBoundaryAndYear(options);  // no new options nor overrides; just pass options as-given
 };
 

From 14d63d0f447cfbb36f1197135481aeeb9990ae10 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Fri, 16 Jan 2026 09:35:11 -0800
Subject: [PATCH 08/22] Added click-to-position functionality to prediction
 slider
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

## User's Initial Request (Verbatim):
> "Look at the last five commits for context. We want to enhance <rect id="yearpicker-predict-slider"/> so it's possible to click on it and send the <g id="yearpicker-predict-thumb"> to the closest available clicked position. It should still respect the drag boundaries and generally show no other behavior changes than being clickable. A pointer cursor will make it clear that this is possible. What is your plan?"

## Implementation:
Enhanced the prediction slider to support click-to-position functionality.

**Changes:**

1. **CSS (index.scss:347)**: Added `cursor: pointer` to `#yearpicker-predict-slider`

2. **JavaScript (index.js6:272-285)**: Added click handler that uses the same SVG coordinate transformation as dragging and calls `updateThumb(svgP.x)` to reposition the thumb, automatically respecting all existing constraints and boundaries.

3. **HTML (index.src.html:509)**: Added `rx="5"` to slider rect for rounded corners

**Result:** Users can now click anywhere on the slider track to jump the thumb to that position while maintaining all existing drag behavior and constraints.

**Files Modified:** index.scss, index.js6, index.src.html

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 index.js6      | 15 +++++++++++++++
 index.scss     |  1 +
 index.src.html |  2 +-
 3 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/index.js6 b/index.js6
index 53dca388..29953839 100644
--- a/index.js6
+++ b/index.js6
@@ -269,6 +269,21 @@ window.initPredictionSlider = () => {
         event.stopPropagation();
     });
 
+    // click on slider: move thumb to clicked position
+    $slider.on('click', function (event) {
+        event.preventDefault();
+        event.stopPropagation();
+
+        // get mouse position relative to the SVG
+        const svg = $('#yearpicker-future')[0];
+        const pt = svg.createSVGPoint();
+        pt.x = event.clientX;
+        pt.y = event.clientY;
+        const svgP = pt.matrixTransform(svg.getScreenCTM().inverse());
+
+        updateThumb(svgP.x);
+    });
+
     // mousedown on thumb: start dragging
     $thumb.on('mousedown', function (event) {
         event.preventDefault();
diff --git a/index.scss b/index.scss
index 9ffdfba4..bf559d98 100644
--- a/index.scss
+++ b/index.scss
@@ -344,6 +344,7 @@ body.ushouse-selected {
       }
       #yearpicker-predict-slider {
         fill: white;
+        cursor: pointer;
       }
       #yearpicker-predict-thumb {
         cursor: pointer;
diff --git a/index.src.html b/index.src.html
index ba05081c..3de1d219 100644
--- a/index.src.html
+++ b/index.src.html
@@ -506,7 +506,7 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <rect class="hitarea" x="20" y="28" width="130" height="50" />
             <circle cx="36" cy="36" r="4" />
             <text x="46" y="40">2026 Predictions</text>
-            <rect id="yearpicker-predict-slider" x="56" y="48" width="80" height="12" />
+            <rect id="yearpicker-predict-slider" x="56" y="48" width="80" rx="5" height="12" />
             <g id="yearpicker-predict-thumb" transform="translate(96, 0)">
                 <rect class="hitarea" x="-16" y="44" width="32" height="30" />
                 <circle cx="0" cy="54" r="5" />

From d3829290d6859c45b8b15d2d574de67c1f25713d Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Fri, 16 Jan 2026 10:15:31 -0800
Subject: [PATCH 09/22] Eliminated unused districts column

---
 .../data/bias_ushouse-elections.csv           | 2902 ++++++++---------
 index.js6                                     |    1 -
 update-ushouse-elections.py                   |   13 +-
 3 files changed, 1457 insertions(+), 1459 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index b71117b2..a6e31ed1 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1,1451 +1,1451 @@
-cycle,stateabrev,newplan,EG,seats,url,districts
-1972,AK,yes,-0.625,1,,
-1972,AL,yes,-0.030,7,,
-1972,AR,yes,0.235,4,,
-1972,AZ,yes,-0.207,4,,
-1972,CA,yes,-0.006,43,,
-1972,CO,yes,-0.043,5,,
-1972,CT,yes,0.025,6,,
-1972,DE,yes,-0.242,1,,
-1972,FL,yes,0.194,15,,
-1972,GA,yes,0.338,10,,
-1972,HI,yes,0.382,2,,
-1972,IA,yes,-0.033,6,,
-1972,ID,yes,-0.231,2,,
-1972,IL,yes,-0.065,24,,
-1972,IN,yes,-0.060,11,,
-1972,KS,yes,0.056,5,,
-1972,KY,yes,0.208,7,,
-1972,LA,yes,0.129,8,,
-1972,MA,yes,0.101,12,,
-1972,MD,yes,-0.040,8,,
-1972,ME,yes,-0.057,2,,
-1972,MI,yes,-0.025,19,,
-1972,MN,yes,-0.082,8,,
-1972,MO,yes,0.206,10,,
-1972,MS,yes,0.024,5,,
-1972,MT,yes,-0.210,2,,
-1972,NC,yes,0.114,11,,
-1972,ND,yes,-0.043,1,,
-1972,NE,yes,-0.181,3,,
-1972,NH,yes,-0.095,2,,
-1972,NJ,yes,0.042,15,,
-1972,NM,yes,-0.126,2,,
-1972,NV,yes,-0.457,1,,
-1972,NY,yes,0.053,39,,
-1972,OH,yes,-0.132,23,,
-1972,OK,yes,0.194,6,,
-1972,OR,yes,0.048,4,,
-1972,PA,yes,0.084,25,,
-1972,RI,yes,0.246,2,,
-1972,SC,yes,0.023,6,,
-1972,SD,yes,-0.062,2,,
-1972,TN,yes,-0.101,8,,
-1972,TX,yes,0.131,24,,
-1972,UT,yes,0.378,2,,
-1972,VA,yes,-0.113,10,,
-1972,VT,yes,-0.200,1,,
-1972,WA,yes,0.038,7,,
-1972,WI,yes,-0.082,9,,
-1972,WV,yes,0.318,4,,
-1972,WY,yes,0.466,1,,
-1974,AK,,-0.423,1,,
-1974,AL,,-0.047,7,,
-1974,AR,,-0.038,4,,
-1974,AZ,,-0.256,4,,
-1974,CA,yes,0.019,43,,
-1974,CO,,0.037,5,,
-1974,CT,,-0.003,6,,
-1974,DE,,-0.307,1,,
-1974,FL,,0.072,15,,
-1974,GA,,0.165,10,,
-1974,HI,,0.278,2,,
-1974,IA,,0.250,6,,
-1974,ID,,-0.360,2,,
-1974,IL,,-0.084,24,,
-1974,IN,,0.210,11,,
-1974,KS,,-0.175,5,,
-1974,KY,,-0.077,7,,
-1974,LA,,-0.011,8,,
-1974,MA,,0.077,12,,
-1974,MD,,-0.083,8,,
-1974,ME,,-0.298,2,,
-1974,MI,,-0.048,19,,
-1974,MN,,-0.053,8,,
-1974,MO,,0.058,10,,
-1974,MS,,0.077,5,,
-1974,MT,,0.328,2,,
-1974,NC,,0.091,11,,
-1974,ND,,-0.386,1,,
-1974,NE,,-0.445,3,,
-1974,NH,,0.118,2,,
-1974,NJ,,0.035,15,,
-1974,NM,,-0.041,2,,
-1974,NV,,0.290,1,,
-1974,NY,yes,0.046,39,,
-1974,OH,,-0.149,23,,
-1974,OK,,0.084,6,,
-1974,OR,,0.218,4,,
-1974,PA,,-0.082,25,,
-1974,RI,,-0.014,2,,
-1974,SC,,0.161,6,,
-1974,SD,,-0.274,2,,
-1974,TN,,0.094,8,,
-1974,TX,yes,0.050,24,,
-1974,UT,,0.329,2,,
-1974,VA,,-0.048,10,,
-1974,VT,,-0.337,1,,
-1974,WA,,0.179,7,,
-1974,WI,,0.084,9,,
-1974,WV,,0.176,4,,
-1974,WY,,0.406,1,,
-1976,AK,,-0.080,1,,
-1976,AL,,-0.126,7,,
-1976,AR,,-0.033,4,,
-1976,AZ,,-0.022,4,,
-1976,CA,,0.052,43,,
-1976,CO,,0.181,5,,
-1976,CT,,0.144,6,,
-1976,DE,,-0.461,1,,
-1976,FL,,0.037,15,,
-1976,GA,,0.150,10,,
-1976,HI,,0.093,2,,
-1976,IA,,0.019,6,,
-1976,ID,,-0.447,2,,
-1976,IL,,-0.031,24,,
-1976,IN,,0.146,11,,
-1976,KS,,0.120,5,,
-1976,KY,,0.038,7,,
-1976,LA,,0.006,8,,
-1976,MA,,0.079,12,,
-1976,MD,,-0.105,8,,
-1976,ME,,-0.149,2,,
-1976,MI,,-0.037,19,,
-1976,MN,,-0.111,8,,
-1976,MO,,0.158,10,,
-1976,MS,,-0.005,5,,
-1976,MT,,-0.125,2,,
-1976,NC,,0.098,11,,
-1976,ND,,-0.231,1,,
-1976,NE,,0.126,3,,
-1976,NH,,-0.076,2,,
-1976,NJ,,0.117,15,,
-1976,NM,,0.073,2,,
-1976,NV,,-0.229,1,,
-1976,NY,,0.034,39,,
-1976,OH,,-0.024,23,,
-1976,OK,,0.039,6,,
-1976,OR,,0.208,4,,
-1976,PA,,0.066,25,,
-1976,RI,,0.090,2,,
-1976,SC,,0.130,6,,
-1976,SD,,0.006,2,,
-1976,TN,yes,0.021,8,,
-1976,TX,,0.188,24,,
-1976,UT,,-0.029,2,,
-1976,VA,,-0.090,10,,
-1976,VT,,-0.129,1,,
-1976,WA,,0.049,7,,
-1976,WI,,0.109,9,,
-1976,WV,,0.152,4,,
-1976,WY,,0.371,1,,
-1978,AK,,-0.390,1,,
-1978,AL,,-0.115,7,,
-1978,AR,,0.018,4,,
-1978,AZ,,0.113,4,,
-1978,CA,,0.043,43,,
-1978,CO,,0.143,5,,
-1978,CT,,0.167,6,,
-1978,DE,,-0.329,1,,
-1978,FL,,0.128,15,,
-1978,GA,,-0.005,10,,
-1978,HI,,-0.169,2,,
-1978,IA,,0.004,6,,
-1978,ID,,-0.327,2,,
-1978,IL,,-0.065,24,,
-1978,IN,,0.087,11,,
-1978,KS,,-0.192,5,,
-1978,KY,,0.042,7,,
-1978,LA,,0.252,8,,
-1978,MA,,0.078,12,,
-1978,MD,,0.004,8,,
-1978,ME,,-0.306,2,,
-1978,MI,,0.042,19,,
-1978,MN,,0.016,8,,
-1978,MO,,0.046,10,,
-1978,MS,,-0.058,5,,
-1978,MT,,-0.013,2,,
-1978,NC,,0.152,11,,
-1978,ND,,-0.130,1,,
-1978,NE,,0.090,3,,
-1978,NH,,0.044,2,,
-1978,NJ,,0.057,15,,
-1978,NM,,0.027,2,,
-1978,NV,,0.002,1,,
-1978,NY,,0.059,39,,
-1978,OH,,0.001,23,,
-1978,OK,,0.143,6,,
-1978,OR,,0.203,4,,
-1978,PA,,0.073,25,,
-1978,RI,,0.368,2,,
-1978,SC,,0.005,6,,
-1978,SD,,0.059,2,,
-1978,TN,,0.117,8,,
-1978,TX,,0.179,24,,
-1978,UT,,0.118,2,,
-1978,VA,,0.031,10,,
-1978,VT,,0.092,1,,
-1978,WA,,0.298,7,,
-1978,WI,,0.105,9,,
-1978,WV,,0.262,4,,
-1978,WY,,-0.327,1,,
-1980,AK,,-0.018,1,,
-1980,AL,,-0.053,7,,
-1980,AR,,0.163,4,,
-1980,AZ,,0.048,4,,
-1980,CA,,0.077,43,,
-1980,CO,,0.201,5,,
-1980,CT,,0.125,6,,
-1980,DE,,-0.255,1,,
-1980,FL,,0.109,15,,
-1980,GA,,0.053,10,,
-1980,HI,,-0.241,2,,
-1980,IA,,-0.027,6,,
-1980,ID,,-0.377,2,,
-1980,IL,,-0.001,24,,
-1980,IN,,0.051,11,,
-1980,KS,,-0.170,5,,
-1980,KY,,0.030,7,,
-1980,LA,,0.331,8,,
-1980,MA,,0.134,12,,
-1980,MD,,0.141,8,,
-1980,ME,,-0.037,2,,
-1980,MI,,0.067,19,,
-1980,MN,,-0.082,8,,
-1980,MO,,0.017,10,,
-1980,MS,,0.200,5,,
-1980,MT,,-0.041,2,,
-1980,NC,,0.062,11,,
-1980,ND,,0.357,1,,
-1980,NE,,-0.041,3,,
-1980,NH,,0.026,2,,
-1980,NJ,,0.053,15,,
-1980,NM,,-0.468,2,,
-1980,NV,,0.053,1,,
-1980,NY,,0.076,39,,
-1980,OH,,0.058,23,,
-1980,OK,,0.212,6,,
-1980,OR,,0.051,4,,
-1980,PA,,-0.026,25,,
-1980,RI,,-0.106,2,,
-1980,SC,,-0.172,6,,
-1980,SD,,-0.085,2,,
-1980,TN,,0.023,8,,
-1980,TX,,0.224,24,,
-1980,UT,,-0.295,2,,
-1980,VA,,-0.147,10,,
-1980,VT,,-0.025,1,,
-1980,WA,,0.200,7,,
-1980,WI,,0.048,9,,
-1980,WV,,-0.140,4,,
-1980,WY,,-0.129,1,,
-1982,AK,yes,-0.077,1,,
-1982,AL,yes,-0.080,7,,
-1982,AR,yes,-0.047,4,,
-1982,AZ,yes,0.036,5,,
-1982,CA,yes,0.115,45,,
-1982,CO,yes,0.039,6,,
-1982,CT,yes,0.080,6,,
-1982,DE,yes,0.439,1,,
-1982,FL,yes,0.005,19,,
-1982,GA,yes,0.045,10,,
-1982,HI,yes,-0.034,2,,
-1982,IA,yes,-0.053,6,,
-1982,ID,yes,-0.440,2,,
-1982,IL,yes,-0.067,22,,
-1982,IN,yes,0.015,10,,
-1982,KS,yes,-0.026,5,,
-1982,KY,yes,-0.083,7,,
-1982,LA,yes,0.075,8,,
-1982,MA,yes,0.100,11,,
-1982,MD,yes,0.014,8,,
-1982,ME,yes,-0.335,2,,
-1982,MI,yes,0.026,18,,
-1982,MN,yes,0.022,8,,
-1982,MO,yes,0.024,9,,
-1982,MS,yes,0.042,5,,
-1982,MT,yes,-0.076,2,,
-1982,NC,yes,0.154,11,,
-1982,ND,yes,0.058,1,,
-1982,NE,yes,-0.140,3,,
-1982,NH,yes,0.148,2,,
-1982,NJ,yes,0.006,14,,
-1982,NM,yes,-0.194,3,,
-1982,NV,yes,0.007,2,,
-1982,NY,yes,-0.005,34,,
-1982,OH,yes,-0.090,21,,
-1982,OK,yes,0.064,6,,
-1982,OR,yes,-0.039,5,,
-1982,PA,yes,0.001,23,,
-1982,RI,yes,-0.050,2,,
-1982,SC,yes,-0.019,6,,
-1982,SD,yes,0.469,1,,
-1982,TN,yes,-0.055,9,,
-1982,TX,yes,0.110,27,,
-1982,UT,yes,-0.337,3,,
-1982,VA,yes,-0.063,10,,
-1982,VT,yes,-0.002,1,,
-1982,WA,yes,0.059,8,,
-1982,WI,yes,-0.047,9,,
-1982,WV,yes,0.242,4,,
-1982,WY,yes,-0.078,1,,
-1984,AK,,-0.362,1,,
-1984,AL,,0.015,7,,
-1984,AR,,0.284,4,,
-1984,AZ,,-0.011,5,,
-1984,CA,yes,0.097,45,,
-1984,CO,,0.034,6,,
-1984,CT,,0.066,6,,
-1984,DE,,0.329,1,,
-1984,FL,,0.148,19,,
-1984,GA,,0.036,10,,
-1984,HI,,-0.197,2,,
-1984,IA,,-0.105,6,,
-1984,ID,,0.186,2,,
-1984,IL,,0.062,22,,
-1984,IN,,0.058,10,,
-1984,KS,,0.009,5,,
-1984,KY,,0.027,7,,
-1984,LA,,0.236,8,,
-1984,MA,,0.145,11,,
-1984,MD,,-0.013,8,,
-1984,ME,,-0.104,2,,
-1984,MI,,0.071,18,,
-1984,MN,,0.044,8,,
-1984,MO,,0.117,9,,
-1984,MS,,0.107,5,,
-1984,MT,,-0.024,2,,
-1984,NC,,-0.003,11,,
-1984,ND,,-0.074,1,,
-1984,NE,,-0.016,3,,
-1984,NH,,-0.140,2,,
-1984,NJ,yes,0.059,14,,
-1984,NM,,0.021,3,,
-1984,NV,,0.173,2,,
-1984,NY,,0.025,34,,
-1984,OH,,0.085,21,,
-1984,OK,,0.163,6,,
-1984,OR,,0.011,5,,
-1984,PA,,0.002,23,,
-1984,RI,,0.000,2,,
-1984,SC,,0.044,6,,
-1984,SD,,0.353,1,,
-1984,TN,,0.096,9,,
-1984,TX,yes,0.150,27,,
-1984,UT,,-0.199,3,,
-1984,VA,,0.007,10,,
-1984,VT,,-0.079,1,,
-1984,WA,yes,0.015,8,,
-1984,WI,,0.104,9,,
-1984,WV,,0.281,4,,
-1984,WY,,0.002,1,,
-1986,AK,,-0.342,1,,
-1986,AL,,-0.070,7,,
-1986,AR,,0.069,4,,
-1986,AZ,,-0.046,5,,
-1986,CA,,0.049,45,,
-1986,CO,,0.115,6,,
-1986,CT,,-0.113,6,,
-1986,DE,,0.172,1,,
-1986,FL,,0.057,19,,
-1986,GA,,-0.004,10,,
-1986,HI,,-0.161,2,,
-1986,IA,,-0.129,6,,
-1986,ID,,0.122,2,,
-1986,IL,,-0.004,22,,
-1986,IN,,0.079,10,,
-1986,KS,,0.021,5,,
-1986,KY,,-0.062,7,,
-1986,LA,,-0.066,8,,
-1986,MA,,0.083,11,,
-1986,MD,,-0.008,8,,
-1986,ME,,0.202,2,,
-1986,MI,,-0.046,18,,
-1986,MN,,-0.072,8,,
-1986,MO,,-0.060,9,,
-1986,MS,,0.116,5,,
-1986,MT,,-0.083,2,,
-1986,NC,,0.095,11,,
-1986,ND,,-0.027,1,,
-1986,NE,,-0.209,3,,
-1986,NH,,-0.202,2,,
-1986,NJ,,0.036,14,,
-1986,NM,,-0.094,3,,
-1986,NV,,0.049,2,,
-1986,NY,,0.021,34,,
-1986,OH,yes,0.027,21,,
-1986,OK,,-0.046,6,,
-1986,OR,,-0.034,5,,
-1986,PA,,-0.019,23,,
-1986,RI,,0.151,2,,
-1986,SC,,-0.026,6,,
-1986,SD,,0.316,1,,
-1986,TN,,0.065,9,,
-1986,TX,,0.074,27,,
-1986,UT,,-0.089,3,,
-1986,VA,,0.009,10,,
-1986,VT,,-0.097,1,,
-1986,WA,,-0.061,8,,
-1986,WI,,0.077,9,,
-1986,WV,,0.126,4,,
-1986,WY,,-0.111,1,,
-1988,AK,,-0.247,1,,
-1988,AL,,0.017,7,,
-1988,AR,,-0.195,4,,
-1988,AZ,,-0.015,5,,
-1988,CA,,0.037,45,,
-1988,CO,,0.016,6,,
-1988,CT,,0.012,6,,
-1988,DE,,0.150,1,,
-1988,FL,,-0.059,19,,
-1988,GA,,0.120,10,,
-1988,HI,,-0.184,2,,
-1988,IA,,-0.144,6,,
-1988,ID,,0.013,2,,
-1988,IL,,0.075,22,,
-1988,IN,,0.165,10,,
-1988,KS,,0.029,5,,
-1988,KY,,0.110,7,,
-1988,LA,,0.081,8,,
-1988,MA,,0.079,11,,
-1988,MD,,0.063,8,,
-1988,ME,,0.004,2,,
-1988,MI,,0.048,18,,
-1988,MN,,-0.048,8,,
-1988,MO,,-0.060,9,,
-1988,MS,,0.173,5,,
-1988,MT,,-0.059,2,,
-1988,NC,,0.162,11,,
-1988,ND,,0.069,1,,
-1988,NE,,0.133,3,,
-1988,NH,,-0.324,2,,
-1988,NJ,,0.118,14,,
-1988,NM,,-0.222,3,,
-1988,NV,,-0.052,2,,
-1988,NY,,0.061,34,,
-1988,OH,,0.001,21,,
-1988,OK,,-0.041,6,,
-1988,OR,,-0.140,5,,
-1988,PA,,0.015,23,,
-1988,RI,,-0.218,2,,
-1988,SC,,0.055,6,,
-1988,SD,,0.065,1,,
-1988,TN,,0.111,9,,
-1988,TX,,0.153,27,,
-1988,UT,,-0.032,3,,
-1988,VA,,0.093,10,,
-1988,VT,,-0.128,1,,
-1988,WA,,0.039,8,,
-1988,WI,,0.084,9,,
-1988,WV,,0.116,4,,
-1988,WY,,-0.146,1,,
-1990,AK,,-0.462,1,,
-1990,AL,,-0.050,7,,
-1990,AR,,0.140,4,,
-1990,AZ,,-0.130,5,,
-1990,CA,,0.028,45,,
-1990,CO,,-0.016,6,,
-1990,CT,,0.055,6,,
-1990,DE,,0.166,1,,
-1990,FL,,-0.023,19,,
-1990,GA,,0.173,10,,
-1990,HI,,0.206,2,,
-1990,IA,,-0.094,6,,
-1990,ID,,0.336,2,,
-1990,IL,,0.042,22,,
-1990,IN,,0.202,10,,
-1990,KS,,-0.108,5,,
-1990,KY,,0.080,7,,
-1990,LA,,-0.040,8,,
-1990,MA,,0.280,11,,
-1990,MD,,0.080,8,,
-1990,ME,,-0.100,2,,
-1990,MI,,0.047,18,,
-1990,MN,,0.078,8,,
-1990,MO,,0.090,9,,
-1990,MS,,-0.045,5,,
-1990,MT,,0.010,2,,
-1990,NC,,0.066,11,,
-1990,ND,,0.196,1,,
-1990,NE,,-0.111,3,,
-1990,NH,,0.027,2,,
-1990,NJ,,0.175,14,,
-1990,NM,,-0.128,3,,
-1990,NV,,0.023,2,,
-1990,NY,,0.042,34,,
-1990,OH,,-0.020,21,,
-1990,OK,,-0.045,6,,
-1990,OR,,0.086,5,,
-1990,PA,,-0.072,23,,
-1990,RI,,-0.049,2,,
-1990,SC,,0.058,6,,
-1990,SD,,0.149,1,,
-1990,TN,,0.048,9,,
-1990,TX,,0.176,27,,
-1990,UT,,0.066,3,,
-1990,VA,,0.107,10,,
-1990,VT,,0,1,,
-1990,WA,,0.048,8,,
-1990,WI,,-0.096,9,,
-1990,WV,,0.258,4,,
-1990,WY,,-0.398,1,,
-1992,AK,yes,-0.456,1,,
-1992,AL,yes,-0.093,7,,
-1992,AR,yes,-0.191,4,,
-1992,AZ,yes,0.119,6,,
-1992,CA,yes,-0.011,52,,
-1992,CO,yes,-0.121,6,,
-1992,CT,yes,0.164,6,,
-1992,DE,yes,-0.368,1,,
-1992,FL,yes,-0.028,23,,
-1992,GA,yes,0.039,11,,
-1992,HI,yes,-0.023,2,,
-1992,IA,yes,-0.238,5,,
-1992,ID,yes,0.018,2,,
-1992,IL,yes,-0.022,20,,
-1992,IN,yes,0.106,10,,
-1992,KS,yes,0.096,4,,
-1992,KY,yes,0.106,6,,
-1992,LA,yes,0.027,7,,
-1992,MA,yes,0.052,10,,
-1992,MD,yes,-0.063,8,,
-1992,ME,yes,-0.133,2,,
-1992,MI,yes,0.075,16,,
-1992,MN,yes,0.133,8,,
-1992,MO,yes,0.066,9,,
-1992,MS,yes,0.080,5,,
-1992,MT,yes,0.464,1,,
-1992,NC,yes,0.135,12,,
-1992,ND,yes,0.319,1,,
-1992,NE,yes,0.036,3,,
-1992,NH,yes,-0.079,2,,
-1992,NJ,yes,0.091,13,,
-1992,NM,yes,-0.157,3,,
-1992,NV,yes,-0.069,2,,
-1992,NY,yes,0.043,31,,
-1992,OH,yes,0.011,19,,
-1992,OK,yes,-0.038,6,,
-1992,OR,yes,0.103,5,,
-1992,PA,yes,-0.010,21,,
-1992,RI,yes,-0.017,2,,
-1992,SC,yes,-0.039,6,,
-1992,SD,yes,0.060,1,,
-1992,TN,yes,0.137,9,,
-1992,TX,yes,0.186,30,,
-1992,UT,yes,0.211,3,,
-1992,VA,yes,0.075,11,,
-1992,VT,yes,0,1,,
-1992,WA,yes,0.238,9,,
-1992,WI,yes,-0.031,9,,
-1992,WV,yes,0.134,3,,
-1992,WY,yes,-0.309,1,,
-1994,AK,,-0.230,1,,
-1994,AL,,0.165,7,,
-1994,AR,,0.052,4,,
-1994,AZ,,-0.104,6,,
-1994,CA,,0.039,52,,
-1994,CO,,0.098,6,,
-1994,CT,,0.097,6,,
-1994,DE,,-0.046,1,,
-1994,FL,,0.013,23,,
-1994,GA,,-0.137,11,,
-1994,HI,,0.206,2,,
-1994,IA,,-0.342,5,,
-1994,ID,,-0.201,2,,
-1994,IL,,0.047,20,,
-1994,IN,,0.035,10,,
-1994,KS,,-0.230,4,,
-1994,KY,,0.009,6,,
-1994,LA,,0.010,7,,
-1994,MA,,0.060,10,,
-1994,MD,,0.015,8,,
-1994,ME,,-0.004,2,,
-1994,MI,,0.101,16,,
-1994,MN,yes,0.229,8,,
-1994,MO,,0.132,9,,
-1994,MS,,0.139,5,,
-1994,MT,,0.429,1,,
-1994,NC,,-0.038,12,,
-1994,ND,,0.425,1,,
-1994,NE,,-0.214,3,,
-1994,NH,,-0.286,2,,
-1994,NJ,,-0.005,13,,
-1994,NM,,0.002,3,,
-1994,NV,,-0.279,2,,
-1994,NY,,0.064,31,,
-1994,OH,,-0.052,19,,
-1994,OK,,-0.207,6,,
-1994,OR,,-0.029,5,,
-1994,PA,,0.036,21,,
-1994,RI,,0.275,2,,
-1994,SC,,0.016,6,,
-1994,SD,,0.259,1,,
-1994,TN,,0.014,9,,
-1994,TX,,0.184,30,,
-1994,UT,,-0.089,3,,
-1994,VA,yes,0.110,11,,
-1994,VT,,0,1,,
-1994,WA,,-0.262,9,,
-1994,WI,,-0.005,9,,
-1994,WV,,0.177,3,,
-1994,WY,,-0.374,1,,
-1996,AK,,-0.260,1,,
-1996,AL,,-0.124,7,,
-1996,AR,,0.084,4,,
-1996,AZ,,-0.118,6,,
-1996,CA,,0.018,52,,
-1996,CO,,-0.001,6,,
-1996,CT,,0.068,6,,
-1996,DE,,-0.066,1,,
-1996,FL,yes,-0.038,23,,
-1996,GA,yes,-0.145,11,,
-1996,HI,,0.319,2,,
-1996,IA,,-0.201,5,,
-1996,ID,,-0.300,2,,
-1996,IL,,-0.094,20,,
-1996,IN,,-0.013,10,,
-1996,KS,,-0.329,4,,
-1996,KY,,-0.200,6,,
-1996,LA,,-0.171,7,,
-1996,MA,,0.206,10,,
-1996,MD,,-0.070,8,,
-1996,ME,,0.215,2,,
-1996,MI,,0.051,16,,
-1996,MN,,0.132,8,,
-1996,MO,,-0.090,9,,
-1996,MS,,0.005,5,,
-1996,MT,,-0.403,1,,
-1996,NC,,0.082,12,,
-1996,ND,,0.380,1,,
-1996,NE,,-0.125,3,,
-1996,NH,,-0.445,2,,
-1996,NJ,,-0.021,13,,
-1996,NM,,-0.519,3,,
-1996,NV,,-0.320,2,,
-1996,NY,,-0.042,31,,
-1996,OH,,-0.014,19,,
-1996,OK,,-0.246,6,,
-1996,OR,,0.173,5,,
-1996,PA,,-0.014,21,,
-1996,RI,,0.118,2,,
-1996,SC,,-0.041,6,,
-1996,SD,,-0.282,1,,
-1996,TN,,-0.037,9,,
-1996,TX,yes,0.141,30,,
-1996,UT,,-0.313,3,,
-1996,VA,,0.041,11,,
-1996,VT,,0,1,,
-1996,WA,,-0.217,9,,
-1996,WI,,0.106,9,,
-1996,WV,,0.132,3,,
-1996,WY,,-0.350,1,,
-1998,AK,,-0.212,1,,
-1998,AL,,-0.118,7,,
-1998,AR,,-0.008,4,,
-1998,AZ,,-0.161,6,,
-1998,CA,,-0.057,52,,
-1998,CO,,-0.021,6,,
-1998,CT,,0.116,6,,
-1998,DE,,-0.148,1,,
-1998,FL,,-0.046,23,,
-1998,GA,,-0.081,11,,
-1998,HI,,0.128,2,,
-1998,IA,,-0.149,5,,
-1998,ID,,-0.406,2,,
-1998,IL,,-0.057,20,,
-1998,IN,,0.023,10,,
-1998,KS,,-0.004,4,,
-1998,KY,,-0.167,6,,
-1998,LA,,-0.143,7,,
-1998,MA,,0.103,10,,
-1998,MD,,-0.090,8,,
-1998,ME,,0.116,2,,
-1998,MI,,0.082,16,,
-1998,MN,,0.149,8,,
-1998,MO,,0.031,9,,
-1998,MS,,0.046,5,,
-1998,MT,,-0.403,1,,
-1998,NC,yes,-0.006,12,,
-1998,ND,,0.345,1,,
-1998,NE,,-0.018,3,,
-1998,NH,,-0.289,2,,
-1998,NJ,,0.013,13,,
-1998,NM,,-0.129,3,,
-1998,NV,,0.174,2,,
-1998,NY,yes,0.003,31,,
-1998,OH,,-0.032,19,,
-1998,OK,,-0.237,6,,
-1998,OR,,0.154,5,,
-1998,PA,,0.018,21,,
-1998,RI,,0.102,2,,
-1998,SC,,-0.115,6,,
-1998,SD,,0.002,1,,
-1998,TN,,-0.024,9,,
-1998,TX,,0.143,30,,
-1998,UT,,-0.287,3,,
-1998,VA,yes,0.081,11,,
-1998,VT,,0,1,,
-1998,WA,,-0.016,9,,
-1998,WI,,0.019,9,,
-1998,WV,,0.041,3,,
-1998,WY,,-0.302,1,,
-2000,AK,,0.116,1,,
-2000,AL,,-0.078,7,,
-2000,AR,,0.251,4,,
-2000,AZ,,-0.123,6,,
-2000,CA,,0.010,52,,
-2000,CO,,-0.038,6,,
-2000,CT,,-0.080,6,,
-2000,DE,,-0.126,1,,
-2000,FL,,-0.081,23,,
-2000,GA,,-0.027,11,,
-2000,HI,,0.168,2,,
-2000,IA,,-0.148,5,,
-2000,ID,,-0.094,2,,
-2000,IL,,-0.074,20,,
-2000,IN,,-0.011,10,,
-2000,KS,,-0.006,4,,
-2000,KY,,-0.125,6,,
-2000,LA,,0.004,7,,
-2000,MA,,0.011,10,,
-2000,MD,,-0.107,8,,
-2000,ME,,0.150,2,,
-2000,MI,,-0.034,16,,
-2000,MN,,0.053,8,,
-2000,MO,,-0.052,9,,
-2000,MS,,0.079,5,,
-2000,MT,,-0.447,1,,
-2000,NC,yes,-0.042,12,,
-2000,ND,,0.414,1,,
-2000,NE,,-0.036,3,,
-2000,NH,,-0.381,2,,
-2000,NJ,,-0.012,13,,
-2000,NM,,-0.212,3,,
-2000,NV,,0.191,2,,
-2000,NY,,0.004,31,,
-2000,OH,,-0.022,19,,
-2000,OK,,-0.079,6,,
-2000,OR,,0.169,5,,
-2000,PA,,-0.043,21,,
-2000,RI,,0.031,2,,
-2000,SC,,-0.077,6,,
-2000,SD,,-0.006,1,,
-2000,TN,,-0.043,9,,
-2000,TX,,0.134,30,,
-2000,UT,,0.000,3,,
-2000,VA,,-0.166,11,,
-2000,VT,,0,1,,
-2000,WA,,0.084,9,,
-2000,WI,,0.105,9,,
-2000,WV,,-0.020,3,,
-2000,WY,,-0.099,1,,
-2002,AK,yes,0.123,1,,
-2002,AL,yes,-0.104,7,,
-2002,AR,yes,0.126,4,,
-2002,AZ,yes,-0.068,8,,
-2002,CA,yes,0.056,53,,
-2002,CO,yes,-0.092,7,,
-2002,CT,yes,-0.144,5,,
-2002,DE,yes,-0.041,1,,
-2002,FL,yes,-0.104,25,,
-2002,GA,yes,0.061,13,,
-2002,HI,yes,0.169,2,,
-2002,IA,yes,-0.207,5,,
-2002,ID,yes,-0.200,2,,
-2002,IL,yes,-0.056,19,,
-2002,IN,yes,-0.032,9,,
-2002,KS,yes,-0.017,4,,
-2002,KY,yes,-0.084,6,,
-2002,LA,yes,0.109,7,,
-2002,MA,yes,0.135,10,,
-2002,MD,yes,0.159,8,,
-2002,ME,yes,0.331,2,,
-2002,MI,yes,-0.058,15,,
-2002,MN,yes,-0.022,8,,
-2002,MO,yes,0.031,9,,
-2002,MS,yes,0.043,4,,
-2002,MT,yes,-0.172,1,,
-2002,NC,yes,-0.003,13,,
-2002,ND,yes,0.452,1,,
-2002,NE,yes,-0.061,3,,
-2002,NH,yes,-0.317,2,,
-2002,NJ,yes,0.026,13,,
-2002,NM,yes,-0.204,3,,
-2002,NV,yes,0.108,3,,
-2002,NY,yes,0.078,29,,
-2002,OH,yes,-0.048,18,,
-2002,OK,yes,-0.231,5,,
-2002,OR,yes,0.177,5,,
-2002,PA,yes,-0.082,19,,
-2002,RI,yes,0.104,2,,
-2002,SC,yes,-0.002,6,,
-2002,SD,yes,-0.421,1,,
-2002,TN,yes,0.093,9,,
-2002,TX,yes,0.118,32,,
-2002,UT,yes,0.018,3,,
-2002,VA,yes,-0.041,11,,
-2002,VT,yes,0,1,,
-2002,WA,yes,0.090,9,,
-2002,WI,yes,0.027,8,,
-2002,WV,yes,0.076,3,,
-2002,WY,yes,-0.249,1,,
-2004,AK,,0.021,1,,
-2004,AL,,-0.067,7,,
-2004,AR,,0.095,4,,
-2004,AZ,,-0.089,8,,
-2004,CA,,0.015,53,,
-2004,CO,,-0.073,7,,
-2004,CT,,-0.212,5,,
-2004,DE,,-0.101,1,,
-2004,FL,,-0.086,25,,
-2004,GA,,0.073,13,,
-2004,HI,,0.224,2,,
-2004,IA,,-0.163,5,,
-2004,ID,,-0.098,2,,
-2004,IL,,-0.045,19,,
-2004,IN,,-0.117,9,,
-2004,KS,,-0.022,4,,
-2004,KY,,-0.122,6,,
-2004,LA,,0.053,7,,
-2004,MA,,0.076,10,,
-2004,MD,,0.062,8,,
-2004,ME,,0.307,2,,
-2004,MI,,-0.090,15,,
-2004,MN,,-0.040,8,,
-2004,MO,,0.035,9,,
-2004,MS,,0.068,4,,
-2004,MT,,-0.175,1,,
-2004,NC,,-0.017,13,,
-2004,ND,,0.309,1,,
-2004,NE,,-0.119,3,,
-2004,NH,,-0.262,2,,
-2004,NJ,,-0.012,13,,
-2004,NM,,-0.203,3,,
-2004,NV,,-0.052,3,,
-2004,NY,,-0.003,29,,
-2004,OH,,-0.103,18,,
-2004,OK,,-0.103,5,,
-2004,OR,,0.189,5,,
-2004,PA,,-0.117,19,,
-2004,RI,,0.076,2,,
-2004,SC,,-0.033,6,,
-2004,SD,,0.425,1,,
-2004,TN,,0.065,9,,
-2004,TX,yes,-0.010,32,,
-2004,UT,,0.013,3,,
-2004,VA,,-0.090,11,,
-2004,VT,,0,1,,
-2004,WA,,-0.023,9,,
-2004,WI,,0.068,8,,
-2004,WV,,0.010,3,,
-2004,WY,,-0.362,1,,
-2006,AK,,-0.329,1,,
-2006,AL,,-0.035,7,,
-2006,AR,,0.053,4,,
-2006,AZ,,0.023,8,,
-2006,CA,,-0.013,53,,
-2006,CO,,-0.012,7,,
-2006,CT,,0.086,5,,
-2006,DE,,-0.308,1,,
-2006,FL,,-0.101,25,,
-2006,GA,yes,0.080,13,,
-2006,HI,,0.199,2,,
-2006,IA,,0.129,5,,
-2006,ID,,-0.334,2,,
-2006,IL,,-0.108,19,,
-2006,IN,,0.067,9,,
-2006,KS,,0.126,4,,
-2006,KY,,-0.061,6,,
-2006,LA,,0.103,7,,
-2006,MA,,0.003,10,,
-2006,MD,,0.003,8,,
-2006,ME,,0.135,2,,
-2006,MI,,-0.145,15,,
-2006,MN,,0.059,8,,
-2006,MO,,-0.028,9,,
-2006,MS,,-0.065,4,,
-2006,MT,,-0.298,1,,
-2006,NC,,-0.002,13,,
-2006,ND,,0.186,1,,
-2006,NE,,-0.379,3,,
-2006,NH,,0.450,2,,
-2006,NJ,,-0.069,13,,
-2006,NM,,-0.283,3,,
-2006,NV,,-0.217,3,,
-2006,NY,,-0.017,29,,
-2006,OH,,-0.165,18,,
-2006,OK,,-0.137,5,,
-2006,OR,,0.143,5,,
-2006,PA,,-0.023,19,,
-2006,RI,,-0.024,2,,
-2006,SC,,-0.048,6,,
-2006,SD,,0.096,1,,
-2006,TN,,0.019,9,,
-2006,TX,yes,-0.002,32,,
-2006,UT,,-0.078,3,,
-2006,VA,,-0.169,11,,
-2006,VT,,0.411,1,,
-2006,WA,,-0.052,9,,
-2006,WI,,0.070,8,,
-2006,WV,,0.006,3,,
-2006,WY,,-0.495,1,,
-2008,AK,,-0.446,1,,
-2008,AL,,0.040,7,,
-2008,AR,,0.105,4,,
-2008,AZ,,0.109,8,,
-2008,CA,,-0.084,53,,
-2008,CO,,0.095,7,,
-2008,CT,,0.175,5,,
-2008,DE,,-0.267,1,,
-2008,FL,,-0.069,25,,
-2008,GA,,-0.005,13,,
-2008,HI,,-0.090,2,,
-2008,IA,,0.058,5,,
-2008,ID,,0.185,2,,
-2008,IL,,-0.071,19,,
-2008,IN,,-0.001,9,,
-2008,KS,,-0.045,4,,
-2008,KY,,-0.111,6,,
-2008,LA,,-0.177,7,,
-2008,MA,,0.051,10,,
-2008,MD,,0.000,8,,
-2008,ME,,0.284,2,,
-2008,MI,,-0.039,15,,
-2008,MN,,-0.027,8,,
-2008,MO,,-0.054,9,,
-2008,MS,,0.088,4,,
-2008,MT,,-0.172,1,,
-2008,NC,,0.022,13,,
-2008,ND,,0.261,1,,
-2008,NE,,-0.183,3,,
-2008,NH,,0.394,2,,
-2008,NJ,,-0.007,13,,
-2008,NM,,0.325,3,,
-2008,NV,,0.079,3,,
-2008,NY,,0.057,29,,
-2008,OH,,0.006,18,,
-2008,OK,,-0.071,5,,
-2008,OR,,0.071,5,,
-2008,PA,,0.030,19,,
-2008,RI,,0.062,2,,
-2008,SC,,-0.156,6,,
-2008,SD,,0.149,1,,
-2008,TN,,0.126,9,,
-2008,TX,,-0.039,32,,
-2008,UT,,-0.044,3,,
-2008,VA,,0.045,11,,
-2008,VT,,0.170,1,,
-2008,WA,,-0.017,9,,
-2008,WI,,0.051,8,,
-2008,WV,,0.029,3,,
-2008,WY,,-0.397,1,,
-2010,AK,,-0.114,1,,
-2010,AL,,-0.137,7,,
-2010,AR,,-0.094,4,,
-2010,AZ,,-0.008,8,,
-2010,CA,,0.022,53,,
-2010,CO,,-0.022,7,,
-2010,CT,,0.313,5,,
-2010,DE,,0.339,1,,
-2010,FL,,-0.074,25,,
-2010,GA,,0.029,13,,
-2010,HI,,0.226,2,,
-2010,IA,,0.209,5,,
-2010,ID,,-0.228,2,,
-2010,IL,,-0.122,19,,
-2010,IN,,0.011,9,,
-2010,KS,,-0.181,4,,
-2010,KY,,0.084,6,,
-2010,LA,,-0.027,7,,
-2010,MA,,0.278,10,,
-2010,MD,,0.008,8,,
-2010,ME,,0.380,2,,
-2010,MI,,-0.017,15,,
-2010,MN,,0.026,8,,
-2010,MO,,-0.011,9,,
-2010,MS,,-0.151,4,,
-2010,MT,,-0.218,1,,
-2010,NC,,0.128,13,,
-2010,ND,,-0.402,1,,
-2010,NE,,-0.091,3,,
-2010,NH,,-0.431,2,,
-2010,NJ,,0.053,13,,
-2010,NM,,0.135,3,,
-2010,NV,,-0.108,3,,
-2010,NY,,0.051,29,,
-2010,OH,,-0.102,18,,
-2010,OK,,0.035,5,,
-2010,OR,,0.245,5,,
-2010,PA,,-0.083,19,,
-2010,RI,,0.312,2,,
-2010,SC,,-0.174,6,,
-2010,SD,,-0.476,1,,
-2010,TN,,-0.001,9,,
-2010,TX,,0.047,32,,
-2010,UT,,0.117,3,,
-2010,VA,,-0.133,11,,
-2010,VT,,0.163,1,,
-2010,WA,,0.026,9,,
-2010,WI,,-0.017,8,,
-2010,WV,,-0.059,3,,
-2010,WY,,-0.016,1,,
-2012,AK,yes,-0.118,1,,
-2012,AL,yes,-0.148,7,,
-2012,AR,yes,-0.261,4,,
-2012,AZ,yes,0.147,9,,
-2012,CA,yes,0.010,53,,
-2012,CO,yes,-0.100,7,,
-2012,CT,yes,0.180,5,,
-2012,DE,yes,0.183,1,,
-2012,FL,yes,-0.105,27,,
-2012,GA,yes,-0.069,14,,
-2012,HI,yes,0.151,2,,
-2012,IA,yes,-0.031,4,,
-2012,ID,yes,-0.177,2,,
-2012,IL,yes,0.058,18,,
-2012,IN,yes,-0.194,9,,
-2012,KS,yes,-0.220,4,,
-2012,KY,yes,-0.133,6,,
-2012,LA,yes,-0.131,6,,
-2012,MA,yes,0.135,9,,
-2012,MD,yes,0.066,8,,
-2012,ME,yes,0.267,2,,
-2012,MI,yes,-0.197,14,,
-2012,MN,yes,0.013,8,,
-2012,MO,yes,-0.117,8,,
-2012,MS,yes,-0.135,4,,
-2012,MT,yes,-0.390,1,,
-2012,NC,yes,-0.211,13,,
-2012,ND,yes,-0.363,1,,
-2012,NE,yes,-0.215,3,,
-2012,NH,yes,0.455,2,,
-2012,NJ,yes,-0.112,12,,
-2012,NM,yes,0.064,3,,
-2012,NV,yes,0.004,4,,
-2012,NY,yes,-0.023,27,,
-2012,OH,yes,-0.223,16,,
-2012,OK,yes,-0.148,5,,
-2012,OR,yes,0.151,5,,
-2012,PA,yes,-0.237,18,,
-2012,RI,yes,0.321,2,,
-2012,SC,yes,-0.228,7,,
-2012,SD,yes,-0.351,1,,
-2012,TN,yes,-0.057,9,,
-2012,TX,yes,-0.006,36,,
-2012,UT,yes,0.083,4,,
-2012,VA,yes,-0.208,11,,
-2012,VT,yes,-0.011,1,,
-2012,WA,yes,0.011,10,,
-2012,WI,yes,-0.140,8,,
-2012,WV,yes,0.032,3,,
-2012,WY,yes,-0.014,1,,
-2014,AK,,-0.391,1,,
-2014,AL,,-0.091,7,,
-2014,AR,,-0.272,4,,
-2014,AZ,,0.075,9,,
-2014,CA,,0.097,53,,
-2014,CO,,-0.038,7,,
-2014,CT,,0.281,5,,
-2014,DE,,0.266,1,,
-2014,FL,,-0.038,27,,
-2014,GA,,-0.090,14,,
-2014,HI,,0.176,2,,
-2014,IA,,-0.172,4,,
-2014,ID,,-0.236,2,,
-2014,IL,,0.027,18,,
-2014,IN,,-0.056,9,,
-2014,KS,,-0.231,4,,
-2014,KY,,-0.062,6,,
-2014,LA,,-0.001,6,,
-2014,MA,,0.203,9,,
-2014,MD,,0.212,8,,
-2014,ME,,-0.145,2,,
-2014,MI,,-0.160,14,,
-2014,MN,,0.114,8,,
-2014,MO,,-0.010,8,,
-2014,MS,,-0.051,4,,
-2014,MT,,-0.343,1,,
-2014,NC,,-0.196,13,,
-2014,ND,,-0.319,1,,
-2014,NE,,0.129,3,,
-2014,NH,,-0.031,2,,
-2014,NJ,,-0.026,12,,
-2014,NM,,0.107,3,,
-2014,NV,,-0.066,4,,
-2014,NY,,0.039,27,,
-2014,OH,,-0.082,16,,
-2014,OK,,-0.057,5,,
-2014,OR,,0.157,5,,
-2014,PA,,-0.151,18,,
-2014,RI,,0.278,2,,
-2014,SC,,-0.173,7,,
-2014,SD,,-0.169,1,,
-2014,TN,,0.005,9,,
-2014,TX,,0.056,36,,
-2014,UT,,-0.187,4,,
-2014,VA,,-0.129,11,,
-2014,VT,,0.150,1,,
-2014,WA,,0.015,10,,
-2014,WI,,-0.069,8,,
-2014,WV,,-0.358,3,,
-2014,WY,,-0.001,1,,
-2016,AK,,-0.334,1,,
-2016,AL,,-0.097,7,,
-2016,AR,,-0.140,4,,
-2016,AZ,,0.029,9,,
-2016,CA,,-0.012,53,,
-2016,CO,,-0.062,7,,
-2016,CT,,0.221,5,,
-2016,DE,,0.349,1,,
-2016,FL,yes,-0.029,27,,
-2016,GA,,-0.100,14,,
-2016,HI,,-0.074,2,,
-2016,IA,,-0.191,4,,
-2016,ID,,-0.137,2,,
-2016,IL,,0.018,18,,
-2016,IN,,-0.072,9,,
-2016,KS,,-0.218,4,,
-2016,KY,,-0.032,6,,
-2016,LA,,0.031,6,,
-2016,MA,,0.084,9,,
-2016,MD,,0.116,8,,
-2016,ME,,-0.039,2,,
-2016,MI,,-0.132,14,,
-2016,MN,,0.089,8,,
-2016,MO,,-0.038,8,,
-2016,MS,,-0.035,4,,
-2016,MT,,-0.338,1,,
-2016,NC,yes,-0.203,13,,
-2016,ND,,-0.011,1,,
-2016,NE,,-0.205,3,,
-2016,NH,,0.469,2,,
-2016,NJ,,0.001,12,,
-2016,NM,,0.046,3,,
-2016,NV,,0.240,4,,
-2016,NY,,-0.063,27,,
-2016,OH,,-0.087,16,,
-2016,OK,,-0.079,5,,
-2016,OR,,0.177,5,,
-2016,PA,,-0.189,18,,
-2016,RI,,0.198,2,,
-2016,SC,,-0.154,7,,
-2016,SD,,-0.218,1,,
-2016,TN,,0.017,9,,
-2016,TX,,-0.038,36,,
-2016,UT,,-0.168,4,,
-2016,VA,yes,-0.106,11,,
-2016,VT,,0.058,1,,
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+2018,SC,,-0.114,7,
+2018,SD,,-0.248,1,
+2018,TN,,-0.074,9,
+2018,TX,,-0.080,36,
+2018,UT,,-0.005,4,
+2018,VA,,0.027,11,
+2018,VT,,0.045,1,
+2018,WA,,0.002,10,
+2018,WI,,-0.174,8,
+2018,WV,,-0.321,3,
+2018,WY,,-0.138,1,
+2020,AK,,-0.408,1,
+2020,AL,,-0.101,7,
+2020,AR,,-0.176,4,
+2020,AZ,,0.058,9,
+2020,CA,,0.018,53,
+2020,CO,,-0.027,7,
+2020,CT,,0.283,5,
+2020,DE,,0.322,1,
+2020,FL,,-0.050,27,
+2020,GA,,-0.052,14,
+2020,HI,,0.109,2,
+2020,IA,,-0.190,4,
+2020,ID,,-0.126,2,
+2020,IL,,0.083,18,
+2020,IN,,-0.092,9,
+2020,KS,,-0.086,4,
+2020,KY,,-0.034,6,
+2020,LA,,-0.071,6,
+2020,MA,,0.142,9,
+2020,MD,,0.074,8,
+2020,ME,,0.341,2,
+2020,MI,,-0.013,14,
+2020,MN,,-0.026,8,
+2020,MO,,-0.059,8,
+2020,MS,,-0.044,4,
+2020,MT,,-0.372,1,
+2020,NC,yes,-0.088,13,
+2020,ND,,-0.071,1,
+2020,NE,,-0.216,3,
+2020,NH,,0.422,2,
+2020,NJ,,0.174,12,
+2020,NM,,0.069,3,
+2020,NV,,0.226,4,
+2020,NY,,-0.042,27,
+2020,OH,,-0.110,16,
+2020,OK,,-0.126,5,
+2020,OR,,0.159,5,
+2020,PA,,0.013,18,
+2020,RI,,0.261,2,
+2020,SC,,-0.222,7,
+2020,SD,,-0.170,1,
+2020,TN,,-0.025,9,
+2020,TX,,-0.044,36,
+2020,UT,,-0.234,4,
+2020,VA,,0.060,11,
+2020,VT,,0.073,1,
+2020,WA,,0.059,10,
+2020,WI,,-0.096,8,
+2020,WV,,-0.149,3,
+2020,WY,,-0.028,1,
+2022,AK,yes,0.401,1,
+2022,AL,yes,-0.006,7,
+2022,AR,yes,-0.125,4,
+2022,AZ,yes,-0.088,9,
+2022,CA,yes,0.051,52,
+2022,CO,yes,-0.005,8,
+2022,CT,yes,0.344,5,
+2022,DE,yes,0.373,1,
+2022,FL,yes,-0.055,28,
+2022,GA,yes,-0.097,14,
+2022,HI,yes,0.127,2,
+2022,IA,yes,-0.374,4,
+2022,ID,yes,-0.128,2,
+2022,IL,yes,0.212,17,
+2022,IN,yes,-0.063,9,
+2022,KS,yes,-0.105,4,
+2022,KY,yes,-0.013,6,
+2022,LA,yes,-0.026,6,
+2022,MA,yes,0.168,9,
+2022,MD,yes,0.072,8,
+2022,ME,yes,0.334,2,
+2022,MI,yes,0.015,13,
+2022,MN,yes,-0.020,8,
+2022,MO,yes,-0.037,8,
+2022,MS,yes,0.038,4,
+2022,MT,yes,-0.286,2,
+2022,NC,yes,0.043,14,
+2022,ND,yes,-0.081,1,
+2022,NE,yes,-0.225,3,
+2022,NH,yes,0.401,2,
+2022,NJ,yes,0.153,12,
+2022,NM,yes,0.399,3,
+2022,NV,yes,0.285,4,
+2022,NY,yes,-0.032,26,
+2022,OH,yes,-0.037,15,
+2022,OK,yes,-0.139,5,
+2022,OR,yes,0.080,6,
+2022,PA,yes,0.049,17,
+2022,RI,yes,0.353,2,
+2022,SC,yes,-0.149,7,
+2022,SD,yes,-0.138,1,
+2022,TN,yes,-0.081,9,
+2022,TX,yes,-0.022,38,
+2022,UT,yes,-0.175,4,
+2022,VA,yes,0.009,11,
+2022,VT,yes,0.115,1,
+2022,WA,yes,0.138,10,
+2022,WI,yes,-0.228,8,
+2022,WV,yes,-0.148,2,
+2022,WY,yes,-0.027,1,
+2024,AK,,-0.476,1,
+2024,AL,yes,0.098,7,
+2024,AR,,-0.139,4,
+2024,AZ,,-0.127,9,
+2024,CA,,0.120,52,
+2024,CO,,-0.121,8,
+2024,CT,,0.314,5,
+2024,DE,,0.343,1,
+2024,FL,,-0.072,28,
+2024,GA,yes,-0.091,14,
+2024,HI,,0.095,2,
+2024,IA,,-0.370,4,
+2024,ID,,-0.093,2,
+2024,IL,,0.205,17,
+2024,IN,,-0.074,9,
+2024,KS,,-0.074,4,
+2024,KY,,0.008,6,
+2024,LA,,0.098,6,
+2024,MA,yes,0.175,9,
+2024,MD,,0.081,8,
+2024,ME,,0.380,2,
+2024,MI,,-0.026,13,
+2024,MN,,-0.009,8,
+2024,MO,,-0.044,8,
+2024,MS,,0.002,4,
+2024,MT,,-0.308,2,
+2024,NC,yes,-0.174,14,
+2024,ND,,-0.110,1,
+2024,NE,,-0.228,3,
+2024,NH,,0.430,2,
+2024,NJ,,0.177,12,
+2024,NM,,0.399,3,
+2024,NV,,0.261,4,
+2024,NY,yes,0.083,26,
+2024,OH,,-0.035,15,
+2024,OK,,-0.118,5,
+2024,OR,,0.217,6,
+2024,PA,,-0.054,17,
+2024,RI,,0.262,2,
+2024,SC,,-0.148,7,
+2024,SD,,-0.059,1,
+2024,TN,,-0.072,9,
+2024,TX,,-0.002,38,
+2024,UT,,-0.182,4,
+2024,VA,,0.007,11,
+2024,VT,,0.147,1,
+2024,WA,,0.133,10,
+2024,WI,,-0.220,8,
+2024,WV,,-0.076,2,
+2024,WY,,0.005,1,
+2026,AK,,-0.476,1,
+2026,AL,,0.098,7,
+2026,AR,,-0.139,4,
+2026,AZ,,-0.127,9,
+2026,CA,yes,0.136,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+2026,CO,,-0.121,8,
+2026,CT,,0.314,5,
+2026,DE,,0.343,1,
+2026,FL,,-0.072,28,
+2026,GA,,-0.091,14,
+2026,HI,,0.095,2,
+2026,IA,,-0.370,4,
+2026,ID,,-0.093,2,
+2026,IL,,0.205,17,
+2026,IN,,-0.074,9,
+2026,KS,,-0.074,4,
+2026,KY,,0.008,6,
+2026,LA,,0.098,6,
+2026,MA,,0.175,9,
+2026,MD,,0.081,8,
+2026,ME,,0.380,2,
+2026,MI,,-0.026,13,
+2026,MN,,-0.009,8,
+2026,MO,yes,-0.161,8,https://planscore.org/plan.html?20251116T014919.269577678Z
+2026,MS,yes,0.007,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+2026,MT,,-0.308,2,
+2026,NC,yes,-0.227,14,https://planscore.org/plan.html?20251220T215350.341663516Z
+2026,ND,,-0.110,1,
+2026,NE,,-0.228,3,
+2026,NH,,0.430,2,
+2026,NJ,,0.177,12,
+2026,NM,,0.399,3,
+2026,NV,,0.261,4,
+2026,NY,,0.083,26,
+2026,OH,yes,-0.15,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+2026,OK,,-0.118,5,
+2026,OR,,0.217,6,
+2026,PA,,-0.054,17,
+2026,RI,,0.262,2,
+2026,SC,,-0.148,7,
+2026,SD,,-0.059,1,
+2026,TN,,-0.072,9,
+2026,TX,yes,-0.131,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+2026,UT,yes,-0.022,4,https://planscore.org/plan.html?20260109T043743.846525206Z
+2026,VA,,0.007,11,
+2026,VT,,0.147,1,
+2026,WA,,0.133,10,
+2026,WI,,-0.220,8,
+2026,WV,,-0.076,2,
+2026,WY,,0.005,1,
+predict,AK,,0.0,1,
+predict,AL,,0.0,7,
+predict,AR,,0.0,4,
+predict,AZ,,0.0,9,
+predict,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict,CO,,0.0,8,
+predict,CT,,0.0,5,
+predict,DE,,0.0,1,
+predict,FL,,0.0,28,
+predict,GA,,0.0,14,
+predict,HI,,0.0,2,
+predict,IA,,0.0,4,
+predict,ID,,0.0,2,
+predict,IL,,0.0,17,
+predict,IN,,0.0,9,
+predict,KS,,0.0,4,
+predict,KY,,0.0,6,
+predict,LA,,0.0,6,
+predict,MA,,0.0,9,
+predict,MD,,0.0,8,
+predict,ME,,0.0,2,
+predict,MI,,0.0,13,
+predict,MN,,0.0,8,
+predict,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
+predict,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict,MT,,0.0,2,
+predict,NC,yes,0.0,14,https://planscore.org/plan.html?20251220T215350.341663516Z
+predict,ND,,0.0,1,
+predict,NE,,0.0,3,
+predict,NH,,0.0,2,
+predict,NJ,,0.0,12,
+predict,NM,,0.0,3,
+predict,NV,,0.0,4,
+predict,NY,,0.0,26,
+predict,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict,OK,,0.0,5,
+predict,OR,,0.0,6,
+predict,PA,,0.0,17,
+predict,RI,,0.0,2,
+predict,SC,,0.0,7,
+predict,SD,,0.0,1,
+predict,TN,,0.0,9,
+predict,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict,UT,yes,0.0,4,https://planscore.org/plan.html?20260109T043743.846525206Z
+predict,VA,,0.0,11,
+predict,VT,,0.0,1,
+predict,WA,,0.0,10,
+predict,WI,,0.0,8,
+predict,WV,,0.0,2,
+predict,WY,,0.0,1,
diff --git a/index.js6 b/index.js6
index 29953839..4ee9e4ae 100644
--- a/index.js6
+++ b/index.js6
@@ -555,7 +555,6 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                     chartrow.seats = parseInt(datarow.seats);
                     chartrow.percentrank = null;
                     chartrow.url = datarow.url;
-                    chartrow.districts = datarow.districts ? JSON.parse(datarow.districts) : undefined;
                     chartrow.stateScale = datarow.stateScale;
                     chartrow.midcyclePlan = midCycleplan;
                 } else {
diff --git a/update-ushouse-elections.py b/update-ushouse-elections.py
index 1e33ac3b..64b5f4d3 100755
--- a/update-ushouse-elections.py
+++ b/update-ushouse-elections.py
@@ -30,7 +30,6 @@ class Election:
     EG: float
     seats: int
     url: str
-    districts: str
 
 @dataclasses.dataclass
 class District:
@@ -489,7 +488,6 @@ def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
     # vote share is turnout-weighted, seat share is not
     seat_share = sum(d.dem_wins * 1 / len(districts) for d in districts)
     vote_share = sum(d.dem_share * d.total_votes / state_votes for d in districts)
-    district_values = [(d.dem_wins, d.dem_share, round(d.total_votes)) for d in districts]
     efficiency_gap = (seat_share - .5) - 2 * (vote_share - .5)
 
     return Election(
@@ -499,10 +497,6 @@ def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
         round(efficiency_gap, 3),
         row.get("seats"),
         row.get("url"),
-        json.dumps(
-            [list(map(lambda n: round(n, 3), v)) for v in district_values],
-            separators=(',', ':'),
-        ),
     )
 
 def main(api_key: str, credentials_file: str, filename: str):
@@ -518,7 +512,7 @@ def main(api_key: str, credentials_file: str, filename: str):
 
     elections = [
         Election(*(row.get(f) for f in ELECTION_FIELDS))
-        for row in rows if row.get("cycle") != "2026"
+        for row in rows if row.get("cycle") not in ("2026", "predict")
     ]
 
     elections += [
@@ -526,6 +520,11 @@ def main(api_key: str, credentials_file: str, filename: str):
         for row in rows if row.get("cycle") == "2026"
     ]
 
+    elections += [
+        Election(*(row.get(f) for f in ELECTION_FIELDS))
+        for row in rows if row.get("cycle") == "predict"
+    ]
+
     logging.info(f"{elections[:3]}, {elections[-3:]}")
 
     with open(filename, "w") as file2:

From 2c277ccc459b7b698160fb6d5cf2b31da66fb811 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Fri, 16 Jan 2026 11:22:51 -0800
Subject: [PATCH 10/22] Added "vote swing" label

---
 index.scss     | 30 +++++++++++++++++-------------
 index.src.html | 17 ++++++++++-------
 2 files changed, 27 insertions(+), 20 deletions(-)

diff --git a/index.scss b/index.scss
index bf559d98..c5324489 100644
--- a/index.scss
+++ b/index.scss
@@ -333,28 +333,32 @@ body.ushouse-selected {
         fill: white;
       }
       a {
-        .background, #yearpicker-predict-slider, #yearpicker-predict-thumb {
+        .background, #yearpicker-predict-voteswing {
           visibility: hidden;
         }
       }
       a.active {
-        .background, #yearpicker-predict-slider, #yearpicker-predict-thumb {
+        .background, #yearpicker-predict-voteswing {
           visibility: visible;
         }
       }
-      #yearpicker-predict-slider {
-        fill: white;
-        cursor: pointer;
-      }
-      #yearpicker-predict-thumb {
-        cursor: pointer;
-        circle {
-          fill: black;
-          stroke: none;
-        }
+      #yearpicker-predict-voteswing {
         text {
           font-size: 10px;
-          text-anchor: middle;
+        }
+        #yearpicker-predict-slider {
+          fill: white;
+          cursor: pointer;
+        }
+        #yearpicker-predict-thumb {
+          cursor: pointer;
+          circle {
+            fill: black;
+            stroke: none;
+          }
+          text {
+            text-anchor: middle;
+          }
         }
       }
     }
diff --git a/index.src.html b/index.src.html
index 3de1d219..df806f20 100644
--- a/index.src.html
+++ b/index.src.html
@@ -502,15 +502,18 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
         <!-- Bottom path -->
         <a id="yearpicker-predict">
             <path d="M 0 32 C 16 32, 16 36, 32 36 L 36 36" />
-            <rect class="background" x="42" y="28" width="108" height="50" rx="2" />
-            <rect class="hitarea" x="20" y="28" width="130" height="50" />
+            <rect class="background" x="42" y="26" width="108" height="66" rx="2" />
+            <rect class="hitarea" x="20" y="27" width="130" height="52" />
             <circle cx="36" cy="36" r="4" />
             <text x="46" y="40">2026 Predictions</text>
-            <rect id="yearpicker-predict-slider" x="56" y="48" width="80" rx="5" height="12" />
-            <g id="yearpicker-predict-thumb" transform="translate(96, 0)">
-                <rect class="hitarea" x="-16" y="44" width="32" height="30" />
-                <circle cx="0" cy="54" r="5" />
-                <text x="0" y="71">Even</text>
+            <g id="yearpicker-predict-voteswing">
+                <text x="56" y="55">Vote swing:</text>
+                <rect id="yearpicker-predict-slider" x="56" y="62" width="80" rx="5" height="12" />
+                <g id="yearpicker-predict-thumb" transform="translate(96, 0)">
+                    <rect class="hitarea" x="-16" y="58" width="32" height="30" />
+                    <circle cx="0" cy="68" r="5" />
+                    <text x="0" y="85">Even</text>
+                </g>
             </g>
         </a>
       </svg>

From 5594a11b5cd82b4c0b1f14caeca2a0b5af5a4582 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Fri, 16 Jan 2026 11:58:28 -0800
Subject: [PATCH 11/22] Changed vote swing format to number-before-party for
 consistency
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Updated prediction URL hashes from predictD12/predictR12 to predict12D/predict12R and visual labels from D+5/R+8 to +5D/+8R to standardize the format with numbers preceding party letters.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 index.js6 | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/index.js6 b/index.js6
index 4ee9e4ae..1b61f46b 100644
--- a/index.js6
+++ b/index.js6
@@ -231,7 +231,7 @@ window.initPredictionSlider = () => {
     // helper: format value as label text
     const formatLabel = (value) => {
         if (value === 0) return 'Even';
-        return value > 0 ? `D+${value}` : `R+${Math.abs(value)}`;
+        return value > 0 ? `+${value}D` : `+${Math.abs(value)}R`;
     };
 
     // helper: update thumb position and label using matrix transform
@@ -341,8 +341,8 @@ window.initLoadStartingConditions = () => {
     let year = PLAN_YEARS[PLAN_YEARS.length - 1];
     let type = 'ushouse';
 
-    // Match: predict, predict0, predictD12, predictR12, or 4-digit years
-    const year_and_type = /^#!(predict(?:[DR]\d+|\d+)?|\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
+    // Match: predict, predict0, predict12D, predict12R, or 4-digit years
+    const year_and_type = /^#!(predict(?:\d+[DR]|\d+)?|\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
     if (year_and_type) {
         year = year_and_type[1];
         type = year_and_type[2];
@@ -350,10 +350,10 @@ window.initLoadStartingConditions = () => {
 
     // If we have a prediction year from the URL, parse it and set the slider value
     if (isPredictionYear(year)) {
-        const match = year.match(/predict([DR])?(\d+)?/);
+        const match = year.match(/predict(\d+)?([DR])?/);
         if (match) {
-            const party = match[1];  // 'D', 'R', or undefined
-            const value = match[2] ? parseInt(match[2]) : 0;
+            const value = match[1] ? parseInt(match[1]) : 0;
+            const party = match[2];  // 'D', 'R', or undefined
             if (party === 'R') {
                 PREDICTION_SLIDER.currentValue = -value;
             } else if (party === 'D') {
@@ -386,15 +386,15 @@ window.handleResize = () => {
 
 // Helper: Convert prediction slider value to year string
 // value: -12 to +12 (negative = R, positive = D, 0 = Even)
-// returns: "predict0", "predictD12", "predictR12", etc.
+// returns: "predict0", "predict12D", "predict12R", etc.
 window.getPredictionYearString = (value) => {
     if (value === 0) return 'predict0';
-    if (value > 0) return `predictD${value}`;
-    return `predictR${Math.abs(value)}`;
+    if (value > 0) return `predict${value}D`;
+    return `predict${Math.abs(value)}R`;
 };
 
 // Helper: Check if a year string is a prediction year
-// returns: true for "predict", "predict0", "predictD5", "predictR12", etc.
+// returns: true for "predict", "predict0", "predict5D", "predict12R", etc.
 window.isPredictionYear = (year) => {
     return String(year).startsWith('predict');
 };

From 3c15cd86c5905ff852d571bd35ac166dd959c1a8 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 17:35:13 -0800
Subject: [PATCH 12/22] Split update-ushouse-elections.py into two scripts
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Stage 1: Script Split Complete

Successfully split update-ushouse-elections.py into two scripts with distinct responsibilities:

New Architecture:

1. update-ushouse-elections.py (API/GDocs)
- Args: api_key, credentials_file
- Iterates over states in Google Sheets
- Checks if plans need updating based on incumbents/deadlines
- Uploads new plans to PlanScore and updates Google Sheets column M

2. update-ushouse-data-files.py (CSV generation)
- Args: credentials_file, csv_filename
- Reads CSV, checks Google Sheets for 2026 rows
- If state has 2026 Redraw = Y: fetches URL from GDocs, recalculates EG from PlanScore
- Otherwise: preserves row as-is
- All other cycles unchanged

Key Points:
- Google Sheets is source of truth for plan URLs
- Column G (2026 Redraw) controls which states get URLs in CSV
- All data calculations unchanged from original

Verified working: both scripts run in sequence with expected output (only Utah URL updated).

User prompts:
"We are going to split update-ushouse-elections.py into two files: one that just interacts with the PlanScore API and updates GDocs (the original), and a new one update-ushouse-data-files.py that reads from GDocs and writes to a local CSV file. See update-ushouse-data-files.sh and update-ushouse-elections.sh for calling signatures. We should proceed in two stages: first migrate the CSV writing functionality to the new script without changing anything about the data in GDocs, the interactions with PlanScore, or the contents of the CSV. In the second stage we will modify the CSV ouput. Tell me your stage one plan."
"Try running the two shell scripts in sequence to verify that they work"
"Let's do this: use column G (Has Redraw) to decide which ones get URLs."
"Summarize your work on this stage for me"
"Shorten your summary to 2/3 of its length"
"Save this summary in a git commit"

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 .../data/bias_ushouse-elections.csv           |   2 +-
 update-ushouse-data-files.py                  | 178 ++++++++++++++++++
 update-ushouse-elections.py                   | 131 ++-----------
 3 files changed, 195 insertions(+), 116 deletions(-)
 create mode 100755 update-ushouse-data-files.py

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index a6e31ed1..2deb6472 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1392,7 +1392,7 @@ cycle,stateabrev,newplan,EG,seats,url
 2026,SD,,-0.059,1,
 2026,TN,,-0.072,9,
 2026,TX,yes,-0.131,38,https://planscore.org/plan.html?20251219T184700.037794076Z
-2026,UT,yes,-0.022,4,https://planscore.org/plan.html?20260109T043743.846525206Z
+2026,UT,yes,-0.022,4,https://planscore.org/plan.html?20260110T175512.890920068Z
 2026,VA,,0.007,11,
 2026,VT,,0.147,1,
 2026,WA,,0.133,10,
diff --git a/update-ushouse-data-files.py b/update-ushouse-data-files.py
new file mode 100755
index 00000000..30f5b900
--- /dev/null
+++ b/update-ushouse-data-files.py
@@ -0,0 +1,178 @@
+#!/usr/bin/env python3
+import argparse
+import csv
+import dataclasses
+import json
+import logging
+import operator
+import re
+import sys
+import typing
+import urllib.request
+
+import oauth2client.service_account
+import googleapiclient.discovery
+
+@dataclasses.dataclass
+class Election:
+    cycle: str
+    stateabrev: str
+    newplan: str
+    EG: float
+    seats: int
+    url: str
+
+@dataclasses.dataclass
+class District:
+    dem_wins: float
+    dem_share: float
+    total_votes: int
+
+@dataclasses.dataclass
+class GdocsStates:
+    states: dict
+    service: typing.Any
+
+PLAN_URL_PAT = re.compile(r"^https://(?P<stack>dev.)?planscore.org/plan.html\?(?P<id>[\.\w]+)$")
+INDEX_URL_FMT = "https://{bucket}.s3.amazonaws.com/uploads/{id}/index.json"
+STACK_BUCKETS = {None: "planscore", "dev.": "planscore--dev"}
+ELECTION_FIELDS = tuple(f.name for f in dataclasses.fields(Election))
+
+SPREADSHEET_ID = '1rcYOxrr_bqkQWggCeP8W6eYkofl9_Zk0deHv62ilE8Y'
+
+STATE_ABBREVS = {
+    'Alabama': 'AL', 'Alaska': 'AK', 'Arizona': 'AZ', 'Arkansas': 'AR', 'California': 'CA',
+    'Colorado': 'CO', 'Connecticut': 'CT', 'Delaware': 'DE', 'Florida': 'FL', 'Georgia': 'GA',
+    'Hawaii': 'HI', 'Idaho': 'ID', 'Illinois': 'IL', 'Indiana': 'IN', 'Iowa': 'IA',
+    'Kansas': 'KS', 'Kentucky': 'KY', 'Louisiana': 'LA', 'Maine': 'ME', 'Maryland': 'MD',
+    'Massachusetts': 'MA', 'Michigan': 'MI', 'Minnesota': 'MN', 'Mississippi': 'MS',
+    'Missouri': 'MO', 'Montana': 'MT', 'Nebraska': 'NE', 'Nevada': 'NV', 'New Hampshire': 'NH',
+    'New Jersey': 'NJ', 'New Mexico': 'NM', 'New York': 'NY', 'North Carolina': 'NC',
+    'North Dakota': 'ND', 'Ohio': 'OH', 'Oklahoma': 'OK', 'Oregon': 'OR', 'Pennsylvania': 'PA',
+    'Rhode Island': 'RI', 'South Carolina': 'SC', 'South Dakota': 'SD', 'Tennessee': 'TN',
+    'Texas': 'TX', 'Utah': 'UT', 'Vermont': 'VT', 'Virginia': 'VA', 'Washington': 'WA',
+    'West Virginia': 'WV', 'Wisconsin': 'WI', 'Wyoming': 'WY'
+}
+
+logging.basicConfig(level=logging.DEBUG, stream=sys.stderr)
+
+def load_google_states(credentials_file: str) -> GdocsStates:
+    """Load states data from Google Sheets"""
+    scope = ['https://www.googleapis.com/auth/spreadsheets']
+    credentials = oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_name(
+        credentials_file, scope
+    )
+    service = googleapiclient.discovery.build('sheets', 'v4', credentials=credentials)
+
+    result = service.spreadsheets().values().get(
+        spreadsheetId=SPREADSHEET_ID,
+        range='States!A:M'
+    ).execute()
+
+    values = result.get('values', [])
+    headers = values[0]
+
+    states = {}
+    for row_idx, row in enumerate(values[1:], start=2):  # start=2 because row 1 is headers
+        row_padded = row + [''] * (len(headers) - len(row))
+        state_data = dict(zip(headers, row_padded))
+        state_name = state_data['State Name']
+        # Store by abbreviation for easy lookup, also store row index for updates
+        abbrev = STATE_ABBREVS.get(state_name)
+        if abbrev:
+            state_data['_row_index'] = row_idx
+            states[abbrev] = state_data
+
+    return GdocsStates(states, service)
+
+def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
+    """Process an existing plan URL to calculate election data"""
+    if not (plan_match := PLAN_URL_PAT.match(plan_url)):
+        raise ValueError(plan_url)
+
+    logging.debug(f"Processing plan: {plan_url}")
+    plan_bucket = STACK_BUCKETS[plan_match.group("stack")]
+    index_url = INDEX_URL_FMT.format(bucket=plan_bucket, id=plan_match.group("id"))
+    index_data = json.load(urllib.request.urlopen(index_url))
+
+    districts = [
+        District(
+            t["Democratic Wins"],
+            t["Democratic Votes"] / (t["Democratic Votes"] + t["Republican Votes"]),
+            t.get("US President 2024 - DEM", t["US President 2020 - DEM"]) + t.get("US President 2024 - REP", t["US President 2020 - REP"]),
+        )
+        for t in map(operator.itemgetter("totals"), index_data["districts"])
+    ]
+    state_votes = sum(d.total_votes for d in districts)
+
+    # vote share is turnout-weighted, seat share is not
+    seat_share = sum(d.dem_wins * 1 / len(districts) for d in districts)
+    vote_share = sum(d.dem_share * d.total_votes / state_votes for d in districts)
+    efficiency_gap = (seat_share - .5) - 2 * (vote_share - .5)
+
+    return Election(
+        row.get("cycle"),
+        row.get("stateabrev"),
+        row.get("newplan"),
+        round(efficiency_gap, 3),
+        row.get("seats"),
+        row.get("url"),
+    )
+
+def main(credentials_file: str, filename: str):
+    # Load Google Sheets states data
+    logging.debug("Loading Google Sheets states data...")
+    gdocs = load_google_states(credentials_file)
+    logging.debug(f"Loaded {len(gdocs.states)} states from Google Sheets")
+
+    with open(filename, "r") as file1:
+        rows = list(csv.DictReader(file1))
+
+    logging.info(f"{rows[:3]}, {rows[-3:]}")
+
+    elections = []
+
+    # Process all rows
+    for row in rows:
+        cycle = row.get("cycle")
+
+        if cycle == "2026":
+            # For 2026 rows, check if state has a redraw (column G)
+            stateabrev = row.get("stateabrev")
+            google_state = gdocs.states.get(stateabrev)
+
+            if google_state:
+                has_redraw = google_state.get('2026 Redraw', '').strip().upper() == 'Y'
+                plan_url = google_state.get('PlanScore URL', '').strip()
+
+                if has_redraw and plan_url:
+                    # State has a redraw and URL in Google Sheets, process the plan
+                    row = dict(row)
+                    row['url'] = plan_url
+                    election = planscore2election(plan_url, row)
+                    elections.append(election)
+                else:
+                    # No redraw or no URL, keep row as-is without URL
+                    elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
+            else:
+                # No Google Sheets data for this state, keep row as-is
+                elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
+        else:
+            # Not a 2026 cycle, keep row as-is
+            elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
+
+    logging.info(f"{elections[:3]}, {elections[-3:]}")
+
+    with open(filename, "w") as file2:
+        out = csv.DictWriter(file2, ELECTION_FIELDS)
+        out.writeheader()
+        for election in elections:
+            out.writerow(dataclasses.asdict(election))
+
+parser = argparse.ArgumentParser()
+parser.add_argument("credentials_file")
+parser.add_argument("filename")
+
+if __name__ == "__main__":
+    args = parser.parse_args()
+    exit(main(args.credentials_file, args.filename))
diff --git a/update-ushouse-elections.py b/update-ushouse-elections.py
index 64b5f4d3..1771da3d 100755
--- a/update-ushouse-elections.py
+++ b/update-ushouse-elections.py
@@ -1,12 +1,9 @@
 #!/usr/bin/env python3
 import argparse
-import csv
-import dataclasses
 import datetime
 import http.client
 import json
 import logging
-import operator
 import os
 import re
 import shutil
@@ -22,32 +19,16 @@
 import oauth2client.service_account
 import googleapiclient.discovery
 
-@dataclasses.dataclass
-class Election:
-    cycle: str
-    stateabrev: str
-    newplan: str
-    EG: float
-    seats: int
-    url: str
-
-@dataclasses.dataclass
-class District:
-    dem_wins: float
-    dem_share: float
-    total_votes: int
-
-@dataclasses.dataclass
 class GdocsStates:
-    states: dict
-    service: typing.Any
+    def __init__(self, states: dict, service: typing.Any):
+        self.states = states
+        self.service = service
 
 UA = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.1 Safari/605.1.15'
 
 PLAN_URL_PAT = re.compile(r"^https://(?P<stack>dev.)?planscore.org/plan.html\?(?P<id>[\.\w]+)$")
 INDEX_URL_FMT = "https://{bucket}.s3.amazonaws.com/uploads/{id}/index.json"
 STACK_BUCKETS = {None: "planscore", "dev.": "planscore--dev"}
-ELECTION_FIELDS = tuple(f.name for f in dataclasses.fields(Election))
 
 SPREADSHEET_ID = '1rcYOxrr_bqkQWggCeP8W6eYkofl9_Zk0deHv62ilE8Y'
 
@@ -390,25 +371,17 @@ def upload_new_plan(api_key, plan_name, auth_url, shapefile_url, incumbents):
     finally:
         os.unlink(local_shapefile)
 
-def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional[Election]:
+def process_state(api_key: str, gdocs: GdocsStates, stateabrev: str, google_state: dict) -> None:
     """
-    Process a 2026 election row, checking if it needs to be updated based on Google Sheet data.
+    Process a state from Google Sheets, checking if it needs to be updated.
+    If plan needs updating, uploads new plan and updates Google Sheets.
     """
-    stateabrev = row.get("stateabrev")
-    plan_url = row.get("url")
-
-    # Look up the state in Google Sheets by abbreviation
-    google_state = gdocs.states.get(stateabrev)
-
-    if not google_state:
-        logging.debug(f"No Google state found for {stateabrev}, returning as-is")
-        return planscore2election(plan_url, row) if plan_url else None
-
     # Check if we should skip this state
     has_redraw = google_state.get('2026 Redraw', '').strip().upper() == 'Y'
     filing_deadline_str = google_state.get('Filing Deadline', '').strip()
 
     filing_deadline_passed = False
+    filing_deadline = None
     if filing_deadline_str:
         try:
             filing_deadline = datetime.datetime.strptime(filing_deadline_str, '%Y-%m-%d').date()
@@ -417,15 +390,6 @@ def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional
         except ValueError:
             logging.debug(f"Could not parse filing deadline: {filing_deadline_str}")
 
-    # Decision logic
-
-    # if not has_redraw:
-    #     logging.debug(f"{google_state['State Name']} - no redraw and we don't care about filing deadline, skipping")
-    #     return planscore2election(plan_url, row) if plan_url else None
-    # if not has_redraw and not filing_deadline_passed:
-    #     logging.debug(f"{google_state['State Name']} - no redraw and filing deadline not passed, skipping")
-    #     return planscore2election(plan_url, row) if plan_url else None
-
     # Check if incumbents have changed
     current_incumbents, score_date = get_plan_details(google_state.get('PlanScore URL', ''))
     new_incumbents = google_state.get('Incumbents', '').strip()
@@ -435,12 +399,12 @@ def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional
     logging.debug(f"  Current:  {current_incumbents}")
     logging.debug(f"  New:      {new_incumbents}")
 
-    if current_incumbents == new_incumbents and score_date > filing_deadline:
+    if current_incumbents == new_incumbents and filing_deadline and score_date and score_date > filing_deadline:
         logging.debug(f"{google_state['State Name']} - incumbents unchanged and {score_date} new enough, skipping")
-        return planscore2election(plan_url, row) if plan_url else None
+        return
     elif current_incumbents == new_incumbents and not filing_deadline_passed:
         logging.debug(f"{google_state['State Name']} - incumbents unchanged and {score_date} filing deadline not passed, skipping")
-        return planscore2election(plan_url, row) if plan_url else None
+        return
 
     # Incumbents have changed, need to upload new plan
     logging.debug(f"{google_state['State Name']} - incumbents changed or {score_date} too old, uploading new plan")
@@ -458,86 +422,23 @@ def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional
     # Update Google Sheet with the new plan URL
     update_google_sheet_plan_url(gdocs, stateabrev, google_state, new_plan_url)
 
-    # Update the row dict to use the new URL
-    row = dict(row)
-    row['url'] = new_plan_url
 
-    # Process the new plan to get election data
-    return planscore2election(new_plan_url, row)
-
-def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
-    """Process an existing plan URL to calculate election data"""
-    if not (plan_match := PLAN_URL_PAT.match(plan_url)):
-        raise ValueError(plan_url)
-
-    logging.debug(f"Processing plan: {plan_url}")
-    plan_bucket = STACK_BUCKETS[plan_match.group("stack")]
-    index_url = INDEX_URL_FMT.format(bucket=plan_bucket, id=plan_match.group("id"))
-    index_data = json.load(urllib.request.urlopen(index_url))
-
-    districts = [
-        District(
-            t["Democratic Wins"],
-            t["Democratic Votes"] / (t["Democratic Votes"] + t["Republican Votes"]),
-            t.get("US President 2024 - DEM", t["US President 2020 - DEM"]) + t.get("US President 2024 - REP", t["US President 2020 - REP"]),
-        )
-        for t in map(operator.itemgetter("totals"), index_data["districts"])
-    ]
-    state_votes = sum(d.total_votes for d in districts)
-
-    # vote share is turnout-weighted, seat share is not
-    seat_share = sum(d.dem_wins * 1 / len(districts) for d in districts)
-    vote_share = sum(d.dem_share * d.total_votes / state_votes for d in districts)
-    efficiency_gap = (seat_share - .5) - 2 * (vote_share - .5)
-
-    return Election(
-        row.get("cycle"),
-        row.get("stateabrev"),
-        row.get("newplan"),
-        round(efficiency_gap, 3),
-        row.get("seats"),
-        row.get("url"),
-    )
-
-def main(api_key: str, credentials_file: str, filename: str):
+def main(api_key: str, credentials_file: str):
     # Load Google Sheets states data
     logging.debug("Loading Google Sheets states data...")
     gdocs = load_google_states(credentials_file)
     logging.debug(f"Loaded {len(gdocs.states)} states from Google Sheets")
 
-    with open(filename, "r") as file1:
-        rows = list(csv.DictReader(file1))
-
-    logging.info(f"{rows[:3]}, {rows[-3:]}")
-
-    elections = [
-        Election(*(row.get(f) for f in ELECTION_FIELDS))
-        for row in rows if row.get("cycle") not in ("2026", "predict")
-    ]
-
-    elections += [
-        row2election(api_key, gdocs, row) or Election(*(row.get(f) for f in ELECTION_FIELDS))
-        for row in rows if row.get("cycle") == "2026"
-    ]
-
-    elections += [
-        Election(*(row.get(f) for f in ELECTION_FIELDS))
-        for row in rows if row.get("cycle") == "predict"
-    ]
-
-    logging.info(f"{elections[:3]}, {elections[-3:]}")
+    # Iterate over all states in Google Sheets and process each one
+    for stateabrev, google_state in gdocs.states.items():
+        process_state(api_key, gdocs, stateabrev, google_state)
 
-    with open(filename, "w") as file2:
-        out = csv.DictWriter(file2, ELECTION_FIELDS)
-        out.writeheader()
-        for election in elections:
-            out.writerow(dataclasses.asdict(election))
+    logging.info("All states processed.")
 
 parser = argparse.ArgumentParser()
 parser.add_argument("api_key")
 parser.add_argument("credentials_file")
-parser.add_argument("filename")
 
 if __name__ == "__main__":
     args = parser.parse_args()
-    exit(main(args.api_key, args.credentials_file, args.filename))
\ No newline at end of file
+    exit(main(args.api_key, args.credentials_file))
\ No newline at end of file

From 9b23b6b67ecec393284e9f60ffebcad6f15af952 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 17:48:01 -0800
Subject: [PATCH 13/22] Modify update-ushouse-data-files.py to populate
 "predict" rows from State Swings worksheet
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Added load_google_state_swings() function that finds the most recent "State Swings YYYY-MM-DD" worksheet and reads Column O "Zero Shift PlanScore URL". Modified main() to process "predict" cycle rows by looking up states in State Swings data and calling planscore2election() to calculate actual efficiency gap scores.

Results: 4 predict rows updated (IL, NC, UT, VA) with non-zero EG values and Zero Shift URLs. All other predict rows remain unchanged.

User prompts:
- "We now need to modify update-ushouse-data-files.py so that it writes the \"predict\" rows just as it writes the \"2026\" rows, including the planscore URLs and efficiency gap score via planscore2election(). After running update-ushouse-data-files.sh we should see the \"predict\" rows of the local CSV updated with new numbers and links in them. Tell me your plan."
- "A piece of information I forgot: the \"predict\" rows should come from the most recent \"State Swings YYYY-MM-DD\" worksheet in GDocs, that's what makes them different from the \"2026\" rows. We'll use the plans in the Zero Shift column (O). Revise your plan."
- "Shorten this summary by half and write to git"

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 .../data/bias_ushouse-elections.csv           |  8 +-
 update-ushouse-data-files.py                  | 73 ++++++++++++++++++-
 2 files changed, 76 insertions(+), 5 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index 2deb6472..9b9bdf5b 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1412,7 +1412,7 @@ predict,GA,,0.0,14,
 predict,HI,,0.0,2,
 predict,IA,,0.0,4,
 predict,ID,,0.0,2,
-predict,IL,,0.0,17,
+predict,IL,,0.173,17,https://planscore.org/plan.html?20260118T001631.622137249Z
 predict,IN,,0.0,9,
 predict,KS,,0.0,4,
 predict,KY,,0.0,6,
@@ -1425,7 +1425,7 @@ predict,MN,,0.0,8,
 predict,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
 predict,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
 predict,MT,,0.0,2,
-predict,NC,yes,0.0,14,https://planscore.org/plan.html?20251220T215350.341663516Z
+predict,NC,yes,-0.227,14,https://planscore.org/plan.html?20260118T001631.540221736Z
 predict,ND,,0.0,1,
 predict,NE,,0.0,3,
 predict,NH,,0.0,2,
@@ -1442,8 +1442,8 @@ predict,SC,,0.0,7,
 predict,SD,,0.0,1,
 predict,TN,,0.0,9,
 predict,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
-predict,UT,yes,0.0,4,https://planscore.org/plan.html?20260109T043743.846525206Z
-predict,VA,,0.0,11,
+predict,UT,yes,-0.022,4,https://planscore.org/plan.html?20260118T001634.186677257Z
+predict,VA,,0.003,11,https://planscore.org/plan.html?20260118T001636.365843215Z
 predict,VT,,0.0,1,
 predict,WA,,0.0,10,
 predict,WI,,0.0,8,
diff --git a/update-ushouse-data-files.py b/update-ushouse-data-files.py
index 30f5b900..bcf298f7 100755
--- a/update-ushouse-data-files.py
+++ b/update-ushouse-data-files.py
@@ -85,6 +85,58 @@ def load_google_states(credentials_file: str) -> GdocsStates:
 
     return GdocsStates(states, service)
 
+def load_google_state_swings(service: typing.Any) -> dict:
+    """Load most recent State Swings worksheet data"""
+    # Get all sheets in the spreadsheet
+    spreadsheet = service.spreadsheets().get(spreadsheetId=SPREADSHEET_ID).execute()
+    sheets = spreadsheet.get('sheets', [])
+
+    # Find all State Swings worksheets
+    swings_sheets = []
+    for sheet in sheets:
+        title = sheet['properties']['title']
+        if title.startswith('State Swings '):
+            # Extract date from title like "State Swings 2026-01-17"
+            date_str = title.replace('State Swings ', '')
+            swings_sheets.append((date_str, title))
+
+    if not swings_sheets:
+        logging.debug("No State Swings worksheets found")
+        return {}
+
+    # Sort by date and get the most recent
+    swings_sheets.sort(reverse=True)
+    most_recent_date, most_recent_title = swings_sheets[0]
+    logging.debug(f"Using State Swings worksheet: {most_recent_title}")
+
+    # Load data from the most recent sheet
+    result = service.spreadsheets().values().get(
+        spreadsheetId=SPREADSHEET_ID,
+        range=f"'{most_recent_title}'!A:O"
+    ).execute()
+
+    values = result.get('values', [])
+    if not values:
+        return {}
+
+    headers = values[0]
+
+    # Build dict mapping state abbreviation -> Zero Shift URL
+    state_swings = {}
+    for row in values[1:]:
+        row_padded = row + [''] * (len(headers) - len(row))
+        state_data = dict(zip(headers, row_padded))
+        state_name = state_data.get('State Name', '')
+        zero_shift_url = state_data.get('Zero Shift PlanScore URL', '').strip()
+
+        # Convert state name to abbreviation
+        abbrev = STATE_ABBREVS.get(state_name)
+        if abbrev and zero_shift_url:
+            state_swings[abbrev] = zero_shift_url
+            logging.debug(f"  {abbrev}: {zero_shift_url}")
+
+    return state_swings
+
 def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
     """Process an existing plan URL to calculate election data"""
     if not (plan_match := PLAN_URL_PAT.match(plan_url)):
@@ -125,6 +177,11 @@ def main(credentials_file: str, filename: str):
     gdocs = load_google_states(credentials_file)
     logging.debug(f"Loaded {len(gdocs.states)} states from Google Sheets")
 
+    # Load State Swings data
+    logging.debug("Loading State Swings data...")
+    state_swings = load_google_state_swings(gdocs.service)
+    logging.debug(f"Loaded {len(state_swings)} states from State Swings")
+
     with open(filename, "r") as file1:
         rows = list(csv.DictReader(file1))
 
@@ -157,8 +214,22 @@ def main(credentials_file: str, filename: str):
             else:
                 # No Google Sheets data for this state, keep row as-is
                 elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
+        elif cycle == "predict":
+            # For predict rows, check State Swings worksheet
+            stateabrev = row.get("stateabrev")
+            zero_shift_url = state_swings.get(stateabrev)
+
+            if zero_shift_url:
+                # State has a Zero Shift URL in State Swings, process the plan
+                row = dict(row)
+                row['url'] = zero_shift_url
+                election = planscore2election(zero_shift_url, row)
+                elections.append(election)
+            else:
+                # No Zero Shift URL, keep row as-is
+                elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
         else:
-            # Not a 2026 cycle, keep row as-is
+            # Not a 2026 or predict cycle, keep row as-is
             elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
 
     logging.info(f"{elections[:3]}, {elections[-3:]}")

From 1cf17b15cd6ba13f7a1a70d740c9997c18421af4 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 18:07:21 -0800
Subject: [PATCH 14/22] Extended predict cycle processing to handle all vote
 swings
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

User's request: "I just staged some changes to WEBSITE_OUTPUT/data/bias_ushouse-elections.csv,
now we need update-ushouse-data-files.py to reflect those changes. Right now we include just
the 'Zero Shift' column from the State Swings sheet, but we will need to also factor in the
other columns that go from D+12 through R+12 vote swings, mapping them to the 'predict12D',
'predict12R', and similarly named rows. The zero shift ones will still map to the 'predict'
rows. Tell me your plan for making this change and testing it."

Changes:
- Modified load_google_state_swings() to extract all 25 vote swing columns (D+1 through D+12,
  Zero Shift, R+1 through R+12) from State Swings worksheet
- Added get_state_swings_column_name() helper to map cycle names (predict, predict1D-12D,
  predict1R-12R) to State Swings column names
- Updated main processing logic to handle all predict* cycles using column mapping
- Tested successfully: 1,250 total predict rows (25 cycles × 50 states), with 100 rows
  populated with actual EG values for IL, NC, UT, VA
---
 .../data/bias_ushouse-elections.csv           | 1200 +++++++++++++++++
 update-ushouse-data-files.py                  |   75 +-
 2 files changed, 1257 insertions(+), 18 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index 9b9bdf5b..32f8ff4b 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1399,6 +1399,606 @@ cycle,stateabrev,newplan,EG,seats,url
 2026,WI,,-0.220,8,
 2026,WV,,-0.076,2,
 2026,WY,,0.005,1,
+predict12D,AK,,0.0,1,
+predict12D,AL,,0.0,7,
+predict12D,AR,,0.0,4,
+predict12D,AZ,,0.0,9,
+predict12D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict12D,CO,,0.0,8,
+predict12D,CT,,0.0,5,
+predict12D,DE,,0.0,1,
+predict12D,FL,,0.0,28,
+predict12D,GA,,0.0,14,
+predict12D,HI,,0.0,2,
+predict12D,IA,,0.0,4,
+predict12D,ID,,0.0,2,
+predict12D,IL,,-0.004,17,https://planscore.org/plan.html?20260118T000603.675349725Z
+predict12D,IN,,0.0,9,
+predict12D,KS,,0.0,4,
+predict12D,KY,,0.0,6,
+predict12D,LA,,0.0,6,
+predict12D,MA,,0.0,9,
+predict12D,MD,,0.0,8,
+predict12D,ME,,0.0,2,
+predict12D,MI,,0.0,13,
+predict12D,MN,,0.0,8,
+predict12D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
+predict12D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict12D,MT,,0.0,2,
+predict12D,NC,yes,0.214,14,https://planscore.org/plan.html?20260118T000604.431947701Z
+predict12D,ND,,0.0,1,
+predict12D,NE,,0.0,3,
+predict12D,NH,,0.0,2,
+predict12D,NJ,,0.0,12,
+predict12D,NM,,0.0,3,
+predict12D,NV,,0.0,4,
+predict12D,NY,,0.0,26,
+predict12D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict12D,OK,,0.0,5,
+predict12D,OR,,0.0,6,
+predict12D,PA,,0.0,17,
+predict12D,RI,,0.0,2,
+predict12D,SC,,0.0,7,
+predict12D,SD,,0.0,1,
+predict12D,TN,,0.0,9,
+predict12D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict12D,UT,yes,-0.148,4,https://planscore.org/plan.html?20260118T000610.397049254Z
+predict12D,VA,,0.07,11,https://planscore.org/plan.html?20260118T000608.068337205Z
+predict12D,VT,,0.0,1,
+predict12D,WA,,0.0,10,
+predict12D,WI,,0.0,8,
+predict12D,WV,,0.0,2,
+predict12D,WY,,0.0,1,
+predict11D,AK,,0.0,1,
+predict11D,AL,,0.0,7,
+predict11D,AR,,0.0,4,
+predict11D,AZ,,0.0,9,
+predict11D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict11D,CO,,0.0,8,
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+predict11D,DE,,0.0,1,
+predict11D,FL,,0.0,28,
+predict11D,GA,,0.0,14,
+predict11D,HI,,0.0,2,
+predict11D,IA,,0.0,4,
+predict11D,ID,,0.0,2,
+predict11D,IL,,0.008,17,https://planscore.org/plan.html?20260117T234131.204003450Z
+predict11D,IN,,0.0,9,
+predict11D,KS,,0.0,4,
+predict11D,KY,,0.0,6,
+predict11D,LA,,0.0,6,
+predict11D,MA,,0.0,9,
+predict11D,MD,,0.0,8,
+predict11D,ME,,0.0,2,
+predict11D,MI,,0.0,13,
+predict11D,MN,,0.0,8,
+predict11D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
+predict11D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict11D,MT,,0.0,2,
+predict11D,NC,yes,0.191,14,https://planscore.org/plan.html?20260117T234221.573532111Z
+predict11D,ND,,0.0,1,
+predict11D,NE,,0.0,3,
+predict11D,NH,,0.0,2,
+predict11D,NJ,,0.0,12,
+predict11D,NM,,0.0,3,
+predict11D,NV,,0.0,4,
+predict11D,NY,,0.0,26,
+predict11D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict11D,OK,,0.0,5,
+predict11D,OR,,0.0,6,
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+predict11D,RI,,0.0,2,
+predict11D,SC,,0.0,7,
+predict11D,SD,,0.0,1,
+predict11D,TN,,0.0,9,
+predict11D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict11D,UT,yes,-0.175,4,https://planscore.org/plan.html?20260117T234258.083201955Z
+predict11D,VA,,0.074,11,https://planscore.org/plan.html?20260117T234336.944596105Z
+predict11D,VT,,0.0,1,
+predict11D,WA,,0.0,10,
+predict11D,WI,,0.0,8,
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+predict11D,WY,,0.0,1,
+predict10D,AK,,0.0,1,
+predict10D,AL,,0.0,7,
+predict10D,AR,,0.0,4,
+predict10D,AZ,,0.0,9,
+predict10D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict10D,CO,,0.0,8,
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+predict10D,IL,,0.022,17,https://planscore.org/plan.html?20260117T234131.269500782Z
+predict10D,IN,,0.0,9,
+predict10D,KS,,0.0,4,
+predict10D,KY,,0.0,6,
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+predict10D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict10D,MT,,0.0,2,
+predict10D,NC,yes,0.152,14,https://planscore.org/plan.html?20260117T234221.054080815Z
+predict10D,ND,,0.0,1,
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+predict10D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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+predict10D,TN,,0.0,9,
+predict10D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict10D,UT,yes,-0.183,4,https://planscore.org/plan.html?20260117T234258.555518952Z
+predict10D,VA,,0.073,11,https://planscore.org/plan.html?20260117T234336.675178157Z
+predict10D,VT,,0.0,1,
+predict10D,WA,,0.0,10,
+predict10D,WI,,0.0,8,
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+predict9D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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+predict7D,TN,,0.0,9,
+predict7D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict7D,UT,yes,-0.15,4,https://planscore.org/plan.html?20260117T234258.384641936Z
+predict7D,VA,,0.068,11,https://planscore.org/plan.html?20260117T234336.060619480Z
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+predict6D,AR,,0.0,4,
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+predict6D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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+predict6D,ID,,0.0,2,
+predict6D,IL,,0.09,17,https://planscore.org/plan.html?20260117T234131.574728812Z
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+predict6D,KS,,0.0,4,
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+predict6D,LA,,0.0,6,
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+predict6D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
+predict6D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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+predict6D,NC,yes,-0.106,14,https://planscore.org/plan.html?20260117T234221.612505460Z
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 predict,AL,,0.0,7,
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@@ -1449,3 +2049,603 @@ predict,WA,,0.0,10,
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+predict11R,WV,,0.0,2,
+predict11R,WY,,0.0,1,
+predict12R,AK,,0.0,1,
+predict12R,AL,,0.0,7,
+predict12R,AR,,0.0,4,
+predict12R,AZ,,0.0,9,
+predict12R,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict12R,CO,,0.0,8,
+predict12R,CT,,0.0,5,
+predict12R,DE,,0.0,1,
+predict12R,FL,,0.0,28,
+predict12R,GA,,0.0,14,
+predict12R,HI,,0.0,2,
+predict12R,IA,,0.0,4,
+predict12R,ID,,0.0,2,
+predict12R,IL,,0.039,17,https://planscore.org/plan.html?20260117T234106.397562328Z
+predict12R,IN,,0.0,9,
+predict12R,KS,,0.0,4,
+predict12R,KY,,0.0,6,
+predict12R,LA,,0.0,6,
+predict12R,MA,,0.0,9,
+predict12R,MD,,0.0,8,
+predict12R,ME,,0.0,2,
+predict12R,MI,,0.0,13,
+predict12R,MN,,0.0,8,
+predict12R,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
+predict12R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict12R,MT,,0.0,2,
+predict12R,NC,yes,-0.007,14,https://planscore.org/plan.html?20260117T234155.082537795Z
+predict12R,ND,,0.0,1,
+predict12R,NE,,0.0,3,
+predict12R,NH,,0.0,2,
+predict12R,NJ,,0.0,12,
+predict12R,NM,,0.0,3,
+predict12R,NV,,0.0,4,
+predict12R,NY,,0.0,26,
+predict12R,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict12R,OK,,0.0,5,
+predict12R,OR,,0.0,6,
+predict12R,PA,,0.0,17,
+predict12R,RI,,0.0,2,
+predict12R,SC,,0.0,7,
+predict12R,SD,,0.0,1,
+predict12R,TN,,0.0,9,
+predict12R,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict12R,UT,yes,-0.024,4,https://planscore.org/plan.html?20260117T234245.745755577Z
+predict12R,VA,,0.039,11,https://planscore.org/plan.html?20260117T234311.522115761Z
+predict12R,VT,,0.0,1,
+predict12R,WA,,0.0,10,
+predict12R,WI,,0.0,8,
+predict12R,WV,,0.0,2,
+predict12R,WY,,0.0,1,
diff --git a/update-ushouse-data-files.py b/update-ushouse-data-files.py
index bcf298f7..9fd89dea 100755
--- a/update-ushouse-data-files.py
+++ b/update-ushouse-data-files.py
@@ -109,10 +109,10 @@ def load_google_state_swings(service: typing.Any) -> dict:
     most_recent_date, most_recent_title = swings_sheets[0]
     logging.debug(f"Using State Swings worksheet: {most_recent_title}")
 
-    # Load data from the most recent sheet
+    # Load data from the most recent sheet - read wide range to get all columns
     result = service.spreadsheets().values().get(
         spreadsheetId=SPREADSHEET_ID,
-        range=f"'{most_recent_title}'!A:O"
+        range=f"'{most_recent_title}'!A:AZ"
     ).execute()
 
     values = result.get('values', [])
@@ -121,22 +121,54 @@ def load_google_state_swings(service: typing.Any) -> dict:
 
     headers = values[0]
 
-    # Build dict mapping state abbreviation -> Zero Shift URL
+    # Build dict mapping state abbreviation -> dict of column names to URLs
+    # Structure: {state_abbrev: {column_name: url}}
     state_swings = {}
     for row in values[1:]:
         row_padded = row + [''] * (len(headers) - len(row))
         state_data = dict(zip(headers, row_padded))
         state_name = state_data.get('State Name', '')
-        zero_shift_url = state_data.get('Zero Shift PlanScore URL', '').strip()
 
         # Convert state name to abbreviation
         abbrev = STATE_ABBREVS.get(state_name)
-        if abbrev and zero_shift_url:
-            state_swings[abbrev] = zero_shift_url
-            logging.debug(f"  {abbrev}: {zero_shift_url}")
+        if not abbrev:
+            continue
+
+        # Extract all PlanScore URL columns
+        state_urls = {}
+        for header, value in state_data.items():
+            if 'PlanScore URL' in header and value and value.strip():
+                state_urls[header] = value.strip()
+
+        if state_urls:
+            state_swings[abbrev] = state_urls
+            logging.debug(f"  {abbrev}: {len(state_urls)} URLs found")
 
     return state_swings
 
+def get_state_swings_column_name(cycle: str) -> typing.Optional[str]:
+    """Convert cycle name to State Swings worksheet column name
+
+    Examples:
+        predict -> Zero Shift PlanScore URL
+        predict1D -> D+1 PlanScore URL
+        predict12D -> D+12 PlanScore URL
+        predict1R -> R+1 PlanScore URL
+        predict12R -> R+12 PlanScore URL
+    """
+    if cycle == "predict":
+        return "Zero Shift PlanScore URL"
+
+    # Parse predictXD or predictXR format
+    match = re.match(r'^predict(\d+)([DR])$', cycle)
+    if not match:
+        return None
+
+    number = match.group(1)
+    party = match.group(2)
+
+    return f"{party}+{number} PlanScore URL"
+
 def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
     """Process an existing plan URL to calculate election data"""
     if not (plan_match := PLAN_URL_PAT.match(plan_url)):
@@ -214,19 +246,26 @@ def main(credentials_file: str, filename: str):
             else:
                 # No Google Sheets data for this state, keep row as-is
                 elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
-        elif cycle == "predict":
-            # For predict rows, check State Swings worksheet
+        elif cycle and cycle.startswith("predict"):
+            # For predict* rows, check State Swings worksheet
             stateabrev = row.get("stateabrev")
-            zero_shift_url = state_swings.get(stateabrev)
-
-            if zero_shift_url:
-                # State has a Zero Shift URL in State Swings, process the plan
-                row = dict(row)
-                row['url'] = zero_shift_url
-                election = planscore2election(zero_shift_url, row)
-                elections.append(election)
+            column_name = get_state_swings_column_name(cycle)
+
+            if column_name and stateabrev in state_swings:
+                # Get the URL for this specific column/cycle
+                plan_url = state_swings[stateabrev].get(column_name, '').strip()
+
+                if plan_url:
+                    # State has a URL for this cycle in State Swings, process the plan
+                    row = dict(row)
+                    row['url'] = plan_url
+                    election = planscore2election(plan_url, row)
+                    elections.append(election)
+                else:
+                    # No URL for this cycle, keep row as-is
+                    elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
             else:
-                # No Zero Shift URL, keep row as-is
+                # State not in State Swings or invalid cycle name, keep row as-is
                 elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
         else:
             # Not a 2026 or predict cycle, keep row as-is

From 238e8854116c52be850421b3147723e84d50a8d0 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 18:28:27 -0800
Subject: [PATCH 15/22] Rename "predict" to "predict0" and enable full
 25-scenario vote swing support
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

User prompts (verbatim):
1. "Right now update-ushouse-data-files.py and index.js6 both use "predict" as
   a string constant to reference rows in ~/Sites/PlanScore-FrontPage/
   WEBSITE_OUTPUT/data/bias_ushouse-elections.csv. I've modified the CSV and
   now we need to make some associated changes: the Zero Shift rows will be
   known as "predict0" instead of "predict", and the front end code should use
   the full range of values like "predict12D", "predict0", "predict12R" etc. so
   that the filtering in window.selectYear() can show different vote swing
   scenarios in the frontend driven from the 25 different scenarios in the CSV.
   Tell me your plan."

2. "We do not need to handle legacy URLs. It might make sense for
   window.getBaseYear() to be removed, we can short-circuit the connection
   since we'll be using strings like "predict0" and "predict12D" throughout
   with no need to map to a special signal value. Update your plan."

3. "Almost! The frontend slider does not appear to trigger the update behavior
   that changes the map. I can see that it has the correct effect when
   reloading the page, it just needs to have its change events connected. Do
   that."

This change allows the prediction slider to display unique efficiency gap data
for all 25 vote swing scenarios (D+12 through R+12 plus zero shift).

Python changes (update-ushouse-data-files.py):
- Updated get_state_swings_column_name() to map "predict0" instead of "predict"
  to "Zero Shift PlanScore URL" for consistency with numbered format

Frontend changes (index.js6):
- Removed getBaseYear() helper function - no longer needed since we use full
  cycle names (predict0, predict5D, predict12R) directly throughout
- Updated year-fudging logic: when viewing predictions in US House and switching
  to other boundary types (State Senate, etc.), automatically defaults to 2026
  since other boundaries don't have prediction scenarios
- Updated CSV filtering: use CURRENT_VIEW.year directly instead of converting
  all predict variants to a single base value - this allows each scenario
  (predict0, predict1D, predict12R) to match its unique CSV row
- Connected slider drag events to trigger loadDataForSelectedBoundaryAndYear()
  so map updates in real-time as user moves slider

CSV data (bias_ushouse-elections.csv):
- Regenerated with new naming scheme: predict0 (zero shift), predict1D-12D
  (Democratic vote swings), predict1R-12R (Republican vote swings)
- All 25 scenarios × 50 states = 1,250 prediction rows
- States with scenario data (IL, NC, UT, VA) now show varying EG values across
  all 25 cycles

The prediction slider now dynamically loads and displays different electoral
outcomes as users explore vote swing scenarios.
---
 .../data/bias_ushouse-elections.csv           | 100 +++++++++---------
 index.js6                                     |  21 ++--
 update-ushouse-data-files.py                  |   4 +-
 3 files changed, 61 insertions(+), 64 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index 32f8ff4b..2737e301 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1999,56 +1999,56 @@ predict1D,WA,,0.0,10,
 predict1D,WI,,0.0,8,
 predict1D,WV,,0.0,2,
 predict1D,WY,,0.0,1,
-predict,AK,,0.0,1,
-predict,AL,,0.0,7,
-predict,AR,,0.0,4,
-predict,AZ,,0.0,9,
-predict,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
-predict,CO,,0.0,8,
-predict,CT,,0.0,5,
-predict,DE,,0.0,1,
-predict,FL,,0.0,28,
-predict,GA,,0.0,14,
-predict,HI,,0.0,2,
-predict,IA,,0.0,4,
-predict,ID,,0.0,2,
-predict,IL,,0.173,17,https://planscore.org/plan.html?20260118T001631.622137249Z
-predict,IN,,0.0,9,
-predict,KS,,0.0,4,
-predict,KY,,0.0,6,
-predict,LA,,0.0,6,
-predict,MA,,0.0,9,
-predict,MD,,0.0,8,
-predict,ME,,0.0,2,
-predict,MI,,0.0,13,
-predict,MN,,0.0,8,
-predict,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
-predict,MT,,0.0,2,
-predict,NC,yes,-0.227,14,https://planscore.org/plan.html?20260118T001631.540221736Z
-predict,ND,,0.0,1,
-predict,NE,,0.0,3,
-predict,NH,,0.0,2,
-predict,NJ,,0.0,12,
-predict,NM,,0.0,3,
-predict,NV,,0.0,4,
-predict,NY,,0.0,26,
-predict,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
-predict,OK,,0.0,5,
-predict,OR,,0.0,6,
-predict,PA,,0.0,17,
-predict,RI,,0.0,2,
-predict,SC,,0.0,7,
-predict,SD,,0.0,1,
-predict,TN,,0.0,9,
-predict,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
-predict,UT,yes,-0.022,4,https://planscore.org/plan.html?20260118T001634.186677257Z
-predict,VA,,0.003,11,https://planscore.org/plan.html?20260118T001636.365843215Z
-predict,VT,,0.0,1,
-predict,WA,,0.0,10,
-predict,WI,,0.0,8,
-predict,WV,,0.0,2,
-predict,WY,,0.0,1,
+predict0,AK,,0.0,1,
+predict0,AL,,0.0,7,
+predict0,AR,,0.0,4,
+predict0,AZ,,0.0,9,
+predict0,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict0,CO,,0.0,8,
+predict0,CT,,0.0,5,
+predict0,DE,,0.0,1,
+predict0,FL,,0.0,28,
+predict0,GA,,0.0,14,
+predict0,HI,,0.0,2,
+predict0,IA,,0.0,4,
+predict0,ID,,0.0,2,
+predict0,IL,,0.173,17,https://planscore.org/plan.html?20260118T001631.622137249Z
+predict0,IN,,0.0,9,
+predict0,KS,,0.0,4,
+predict0,KY,,0.0,6,
+predict0,LA,,0.0,6,
+predict0,MA,,0.0,9,
+predict0,MD,,0.0,8,
+predict0,ME,,0.0,2,
+predict0,MI,,0.0,13,
+predict0,MN,,0.0,8,
+predict0,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
+predict0,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict0,MT,,0.0,2,
+predict0,NC,yes,-0.227,14,https://planscore.org/plan.html?20260118T001631.540221736Z
+predict0,ND,,0.0,1,
+predict0,NE,,0.0,3,
+predict0,NH,,0.0,2,
+predict0,NJ,,0.0,12,
+predict0,NM,,0.0,3,
+predict0,NV,,0.0,4,
+predict0,NY,,0.0,26,
+predict0,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict0,OK,,0.0,5,
+predict0,OR,,0.0,6,
+predict0,PA,,0.0,17,
+predict0,RI,,0.0,2,
+predict0,SC,,0.0,7,
+predict0,SD,,0.0,1,
+predict0,TN,,0.0,9,
+predict0,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict0,UT,yes,-0.022,4,https://planscore.org/plan.html?20260118T001634.186677257Z
+predict0,VA,,0.003,11,https://planscore.org/plan.html?20260118T001636.365843215Z
+predict0,VT,,0.0,1,
+predict0,WA,,0.0,10,
+predict0,WI,,0.0,8,
+predict0,WV,,0.0,2,
+predict0,WY,,0.0,1,
 predict1R,AK,,0.0,1,
 predict1R,AL,,0.0,7,
 predict1R,AR,,0.0,4,
diff --git a/index.js6 b/index.js6
index 1b61f46b..67911bcc 100644
--- a/index.js6
+++ b/index.js6
@@ -255,10 +255,11 @@ window.initPredictionSlider = () => {
         // update the year state to match slider position
         if (!skipYearUpdate) {
             const predictionYear = getPredictionYearString(value);
-            // Only update the year and hash, don't reload data or trigger full selectYear
+            // Update the year, hash, and reload data to show the new prediction scenario
             if (CURRENT_VIEW.year !== predictionYear) {
                 CURRENT_VIEW.year = predictionYear;
                 updateAddressHash();
+                loadDataForSelectedBoundaryAndYear();
             }
         }
     };
@@ -399,12 +400,6 @@ window.isPredictionYear = (year) => {
     return String(year).startsWith('predict');
 };
 
-// Helper: Extract base year from prediction string for CSV lookup
-// returns: "predict" for all prediction variants, or the original year for others
-window.getBaseYear = (year) => {
-    return isPredictionYear(year) ? 'predict' : year;
-};
-
 window.loadDataForSelectedBoundaryAndYear = (options={}) => {
     if (! CURRENT_VIEW.year || ! CURRENT_VIEW.boundtype) return;  // need both; during startup one will be blank, so avoid an error
 
@@ -436,8 +431,11 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             // primarily used when switching district types, as not all district types have the same coverage for every year (e.g. State House 2016)
             if (options.fudgeYearIfNoData) {
                 const yearColumn = CURRENT_VIEW.boundtype === 'ushouse' ? 'cycle' : 'year';
-                const baseYear = getBaseYear(CURRENT_VIEW.year);
-                const hasdata = results.data.filter((datarow) => { return datarow[yearColumn] == baseYear; }).length;
+                // For predict years in non-ushouse boundaries, default to 2026 since predictions are ushouse-only
+                const yearToCheck = (isPredictionYear(CURRENT_VIEW.year) && CURRENT_VIEW.boundtype !== 'ushouse')
+                    ? 2026
+                    : CURRENT_VIEW.year;
+                const hasdata = results.data.filter((datarow) => { return datarow[yearColumn] == yearToCheck; }).length;
                 if (! hasdata) {
                     const wehavetheseyears = results.data.map((datarow) => {
                         return datarow[yearColumn] ? parseInt(datarow[yearColumn]) : 0;  // workaround for 176, iOS 11 including blank rows so year=NaN
@@ -540,7 +538,6 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             // filter by the year (geography is implicit by which CSV was fetched)
             // and for each row assign the bias score to the state's row in the above
             // this is loop-within-loop as we match arrays to arrays, but P=50 and Q=20ish so it's affordable
-            const baseYear = getBaseYear(CURRENT_VIEW.year);
             results.data.forEach(function (datarow) {
                 // Boolean flag for mid-cycle redistricting on this plan
                 const numericYear = isPredictionYear(CURRENT_VIEW.year) ? 2026 : CURRENT_VIEW.year;
@@ -548,7 +545,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
 
                 // For ushouse, use different column names
                 if (CURRENT_VIEW.boundtype === 'ushouse') {
-                    if (datarow.cycle != baseYear) return;  // wrong year; next
+                    if (datarow.cycle != CURRENT_VIEW.year) return;  // wrong year; next
                     const chartrow = chartdata.filter((filteringthisonerow) => { return filteringthisonerow.abbr == datarow.stateabrev; })[0];
                     if (!chartrow) return;  // state not found, skip
                     chartrow.value = parseFloat(datarow.EG);
@@ -558,7 +555,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                     chartrow.stateScale = datarow.stateScale;
                     chartrow.midcyclePlan = midCycleplan;
                 } else {
-                    if (datarow.year != baseYear) return;  // wrong year; next
+                    if (datarow.year != CURRENT_VIEW.year) return;  // wrong year; next
                     const chartrow = chartdata.filter((filteringthisonerow) => { return filteringthisonerow.abbr == datarow.state; })[0];
                     if (!chartrow) return;  // state not found, skip
                     chartrow.value = parseFloat(datarow.eg_adj_avg);
diff --git a/update-ushouse-data-files.py b/update-ushouse-data-files.py
index 9fd89dea..bed05971 100755
--- a/update-ushouse-data-files.py
+++ b/update-ushouse-data-files.py
@@ -150,13 +150,13 @@ def get_state_swings_column_name(cycle: str) -> typing.Optional[str]:
     """Convert cycle name to State Swings worksheet column name
 
     Examples:
-        predict -> Zero Shift PlanScore URL
+        predict0 -> Zero Shift PlanScore URL
         predict1D -> D+1 PlanScore URL
         predict12D -> D+12 PlanScore URL
         predict1R -> R+1 PlanScore URL
         predict12R -> R+12 PlanScore URL
     """
-    if cycle == "predict":
+    if cycle == "predict0":
         return "Zero Shift PlanScore URL"
 
     # Parse predictXD or predictXR format

From e3f0da393b8de4f0ecf444564fab3dc48db1bbf2 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 18:38:28 -0800
Subject: [PATCH 16/22] Parallelize update-ushouse-data-files.py with 10-worker
 ThreadPoolExecutor
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Refactored main() to use concurrent.futures.ThreadPoolExecutor for processing CSV rows in parallel. Extracted row processing logic into process_row() function that returns (index, Election) tuples. Results are sorted by index to preserve output ordering.

User prompt: "update-ushouse-data-files.py is slow because rows are iterated in main(). Propose your plan for using 10x parallelism in this, while retaining consistent ordering in the output. Test by running update-ushouse-data-files.sh and expect no changes to the CSV file."

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 update-ushouse-data-files.py | 120 ++++++++++++++++++++---------------
 1 file changed, 69 insertions(+), 51 deletions(-)

diff --git a/update-ushouse-data-files.py b/update-ushouse-data-files.py
index bed05971..8feffaf1 100755
--- a/update-ushouse-data-files.py
+++ b/update-ushouse-data-files.py
@@ -1,5 +1,6 @@
 #!/usr/bin/env python3
 import argparse
+import concurrent.futures
 import csv
 import dataclasses
 import json
@@ -203,6 +204,56 @@ def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
         row.get("url"),
     )
 
+def process_row(index: int, row: dict, gdocs: GdocsStates, state_swings: dict) -> tuple[int, Election]:
+    """Process a single row and return (index, Election) tuple"""
+    cycle = row.get("cycle")
+
+    if cycle == "2026":
+        # For 2026 rows, check if state has a redraw (column G)
+        stateabrev = row.get("stateabrev")
+        google_state = gdocs.states.get(stateabrev)
+
+        if google_state:
+            has_redraw = google_state.get('2026 Redraw', '').strip().upper() == 'Y'
+            plan_url = google_state.get('PlanScore URL', '').strip()
+
+            if has_redraw and plan_url:
+                # State has a redraw and URL in Google Sheets, process the plan
+                row = dict(row)
+                row['url'] = plan_url
+                election = planscore2election(plan_url, row)
+                return (index, election)
+            else:
+                # No redraw or no URL, keep row as-is without URL
+                return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+        else:
+            # No Google Sheets data for this state, keep row as-is
+            return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+    elif cycle and cycle.startswith("predict"):
+        # For predict* rows, check State Swings worksheet
+        stateabrev = row.get("stateabrev")
+        column_name = get_state_swings_column_name(cycle)
+
+        if column_name and stateabrev in state_swings:
+            # Get the URL for this specific column/cycle
+            plan_url = state_swings[stateabrev].get(column_name, '').strip()
+
+            if plan_url:
+                # State has a URL for this cycle in State Swings, process the plan
+                row = dict(row)
+                row['url'] = plan_url
+                election = planscore2election(plan_url, row)
+                return (index, election)
+            else:
+                # No URL for this cycle, keep row as-is
+                return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+        else:
+            # State not in State Swings or invalid cycle name, keep row as-is
+            return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+    else:
+        # Not a 2026 or predict cycle, keep row as-is
+        return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+
 def main(credentials_file: str, filename: str):
     # Load Google Sheets states data
     logging.debug("Loading Google Sheets states data...")
@@ -219,57 +270,24 @@ def main(credentials_file: str, filename: str):
 
     logging.info(f"{rows[:3]}, {rows[-3:]}")
 
-    elections = []
-
-    # Process all rows
-    for row in rows:
-        cycle = row.get("cycle")
-
-        if cycle == "2026":
-            # For 2026 rows, check if state has a redraw (column G)
-            stateabrev = row.get("stateabrev")
-            google_state = gdocs.states.get(stateabrev)
-
-            if google_state:
-                has_redraw = google_state.get('2026 Redraw', '').strip().upper() == 'Y'
-                plan_url = google_state.get('PlanScore URL', '').strip()
-
-                if has_redraw and plan_url:
-                    # State has a redraw and URL in Google Sheets, process the plan
-                    row = dict(row)
-                    row['url'] = plan_url
-                    election = planscore2election(plan_url, row)
-                    elections.append(election)
-                else:
-                    # No redraw or no URL, keep row as-is without URL
-                    elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
-            else:
-                # No Google Sheets data for this state, keep row as-is
-                elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
-        elif cycle and cycle.startswith("predict"):
-            # For predict* rows, check State Swings worksheet
-            stateabrev = row.get("stateabrev")
-            column_name = get_state_swings_column_name(cycle)
-
-            if column_name and stateabrev in state_swings:
-                # Get the URL for this specific column/cycle
-                plan_url = state_swings[stateabrev].get(column_name, '').strip()
-
-                if plan_url:
-                    # State has a URL for this cycle in State Swings, process the plan
-                    row = dict(row)
-                    row['url'] = plan_url
-                    election = planscore2election(plan_url, row)
-                    elections.append(election)
-                else:
-                    # No URL for this cycle, keep row as-is
-                    elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
-            else:
-                # State not in State Swings or invalid cycle name, keep row as-is
-                elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
-        else:
-            # Not a 2026 or predict cycle, keep row as-is
-            elections.append(Election(*(row.get(f) for f in ELECTION_FIELDS)))
+    # Process all rows in parallel using ThreadPoolExecutor with 10 workers
+    with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
+        # Submit all rows with their indices
+        futures = [
+            executor.submit(process_row, index, row, gdocs, state_swings)
+            for index, row in enumerate(rows)
+        ]
+
+        # Collect results as they complete
+        results = []
+        for future in concurrent.futures.as_completed(futures):
+            results.append(future.result())
+
+    # Sort results by original index to maintain ordering
+    results.sort(key=lambda x: x[0])
+
+    # Extract just the Election objects
+    elections = [election for index, election in results]
 
     logging.info(f"{elections[:3]}, {elections[-3:]}")
 

From 96a459ee2872f1edeca99ceed3cdb05d8034cd84 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 19:01:04 -0800
Subject: [PATCH 17/22] Fixed scales to only realistic numbers

---
 index.js6 | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/index.js6 b/index.js6
index 67911bcc..429dc101 100644
--- a/index.js6
+++ b/index.js6
@@ -478,6 +478,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                 const seatBiases = {};
                 const stateAreas = {};
                 const rawScales = {};
+                const realScales = {};
                 results.data.forEach(function (datarow) {
                     const value = parseFloat(datarow.EG);
                     const seats = parseInt(datarow.seats);
@@ -491,12 +492,16 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                     const $shape = $(`#state-shape-${datarow.stateabrev}`);
                     const stateArea = parseFloat($shape.attr('data-area')) || 1;
 
-                    // Dimensionless raw scale that we'll adjust later
-                    rawScales[`${datarow.stateabrev}-${datarow.cycle}`] = Math.sqrt(seatBias * 1e11 / stateArea);
+                    // Dimensionless raw scales that we'll adjust later
+                    var rawScale = Math.sqrt(seatBias * 1e11 / stateArea);
+                    rawScales[`${datarow.stateabrev}-${datarow.cycle}`] = rawScale;
+                    if (datarow.cycle.match(/^(19|20)\d\d$/)) {
+                        realScales[`${datarow.stateabrev}-${datarow.cycle}`] = rawScale;
+                    }
                 });
 
-                // Find the P10 and P90 raw scales to guide visual range
-                const scalesList = Object.values(rawScales).sort(function (a, b) { return a - b });
+                // Find the P10 and P90 real scales to guide visual range
+                const scalesList = Object.values(realScales).sort(function (a, b) { return a - b });
                 const p90RawScale = scalesList[Math.round(scalesList.length * 0.9)];
                 const p10RawScale = scalesList[Math.round(scalesList.length * 0.1)];
                 console.log(`p10RawScale ${p10RawScale.toFixed(2)}, p90RawScale ${p90RawScale.toFixed(2)}`);

From ab37f420535c2aca5d53b88055aa66e932ea82d4 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 19:10:21 -0800
Subject: [PATCH 18/22] Expanded predicted states to cover all redraws

---
 .../data/bias_ushouse-elections.csv           | 250 +++++++++---------
 update-ushouse-vote-swings.py                 |   5 +-
 2 files changed, 128 insertions(+), 127 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index 2737e301..f0516104 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1403,7 +1403,7 @@ predict12D,AK,,0.0,1,
 predict12D,AL,,0.0,7,
 predict12D,AR,,0.0,4,
 predict12D,AZ,,0.0,9,
-predict12D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict12D,CA,yes,0.044,52,https://planscore.org/plan.html?20260118T030331.145136330Z
 predict12D,CO,,0.0,8,
 predict12D,CT,,0.0,5,
 predict12D,DE,,0.0,1,
@@ -1422,8 +1422,8 @@ predict12D,MD,,0.0,8,
 predict12D,ME,,0.0,2,
 predict12D,MI,,0.0,13,
 predict12D,MN,,0.0,8,
-predict12D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict12D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict12D,MO,yes,0.02,8,https://planscore.org/plan.html?20260118T030631.805452611Z
+predict12D,MS,yes,-0.212,4,https://planscore.org/plan.html?20260118T030806.674600353Z
 predict12D,MT,,0.0,2,
 predict12D,NC,yes,0.214,14,https://planscore.org/plan.html?20260118T000604.431947701Z
 predict12D,ND,,0.0,1,
@@ -1433,7 +1433,7 @@ predict12D,NJ,,0.0,12,
 predict12D,NM,,0.0,3,
 predict12D,NV,,0.0,4,
 predict12D,NY,,0.0,26,
-predict12D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict12D,OH,yes,0.039,15,https://planscore.org/plan.html?20260118T030728.905441817Z
 predict12D,OK,,0.0,5,
 predict12D,OR,,0.0,6,
 predict12D,PA,,0.0,17,
@@ -1441,7 +1441,7 @@ predict12D,RI,,0.0,2,
 predict12D,SC,,0.0,7,
 predict12D,SD,,0.0,1,
 predict12D,TN,,0.0,9,
-predict12D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict12D,TX,yes,0.055,38,https://planscore.org/plan.html?20260118T030519.951608056Z
 predict12D,UT,yes,-0.148,4,https://planscore.org/plan.html?20260118T000610.397049254Z
 predict12D,VA,,0.07,11,https://planscore.org/plan.html?20260118T000608.068337205Z
 predict12D,VT,,0.0,1,
@@ -1453,7 +1453,7 @@ predict11D,AK,,0.0,1,
 predict11D,AL,,0.0,7,
 predict11D,AR,,0.0,4,
 predict11D,AZ,,0.0,9,
-predict11D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict11D,CA,yes,0.057,52,https://planscore.org/plan.html?20260118T030331.608965682Z
 predict11D,CO,,0.0,8,
 predict11D,CT,,0.0,5,
 predict11D,DE,,0.0,1,
@@ -1472,8 +1472,8 @@ predict11D,MD,,0.0,8,
 predict11D,ME,,0.0,2,
 predict11D,MI,,0.0,13,
 predict11D,MN,,0.0,8,
-predict11D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict11D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict11D,MO,yes,-0.014,8,https://planscore.org/plan.html?20260118T030627.741274374Z
+predict11D,MS,yes,-0.201,4,https://planscore.org/plan.html?20260118T030806.802386516Z
 predict11D,MT,,0.0,2,
 predict11D,NC,yes,0.191,14,https://planscore.org/plan.html?20260117T234221.573532111Z
 predict11D,ND,,0.0,1,
@@ -1483,7 +1483,7 @@ predict11D,NJ,,0.0,12,
 predict11D,NM,,0.0,3,
 predict11D,NV,,0.0,4,
 predict11D,NY,,0.0,26,
-predict11D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict11D,OH,yes,0.026,15,https://planscore.org/plan.html?20260118T030727.518908525Z
 predict11D,OK,,0.0,5,
 predict11D,OR,,0.0,6,
 predict11D,PA,,0.0,17,
@@ -1491,7 +1491,7 @@ predict11D,RI,,0.0,2,
 predict11D,SC,,0.0,7,
 predict11D,SD,,0.0,1,
 predict11D,TN,,0.0,9,
-predict11D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict11D,TX,yes,0.006,38,https://planscore.org/plan.html?20260118T030519.531690543Z
 predict11D,UT,yes,-0.175,4,https://planscore.org/plan.html?20260117T234258.083201955Z
 predict11D,VA,,0.074,11,https://planscore.org/plan.html?20260117T234336.944596105Z
 predict11D,VT,,0.0,1,
@@ -1503,7 +1503,7 @@ predict10D,AK,,0.0,1,
 predict10D,AL,,0.0,7,
 predict10D,AR,,0.0,4,
 predict10D,AZ,,0.0,9,
-predict10D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict10D,CA,yes,0.069,52,https://planscore.org/plan.html?20260118T030331.157345468Z
 predict10D,CO,,0.0,8,
 predict10D,CT,,0.0,5,
 predict10D,DE,,0.0,1,
@@ -1522,8 +1522,8 @@ predict10D,MD,,0.0,8,
 predict10D,ME,,0.0,2,
 predict10D,MI,,0.0,13,
 predict10D,MN,,0.0,8,
-predict10D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict10D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict10D,MO,yes,-0.051,8,https://planscore.org/plan.html?20260118T030626.964598966Z
+predict10D,MS,yes,-0.185,4,https://planscore.org/plan.html?20260118T030806.666278529Z
 predict10D,MT,,0.0,2,
 predict10D,NC,yes,0.152,14,https://planscore.org/plan.html?20260117T234221.054080815Z
 predict10D,ND,,0.0,1,
@@ -1533,7 +1533,7 @@ predict10D,NJ,,0.0,12,
 predict10D,NM,,0.0,3,
 predict10D,NV,,0.0,4,
 predict10D,NY,,0.0,26,
-predict10D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict10D,OH,yes,0.009,15,https://planscore.org/plan.html?20260118T030725.282097399Z
 predict10D,OK,,0.0,5,
 predict10D,OR,,0.0,6,
 predict10D,PA,,0.0,17,
@@ -1541,7 +1541,7 @@ predict10D,RI,,0.0,2,
 predict10D,SC,,0.0,7,
 predict10D,SD,,0.0,1,
 predict10D,TN,,0.0,9,
-predict10D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict10D,TX,yes,-0.041,38,https://planscore.org/plan.html?20260118T030512.233686082Z
 predict10D,UT,yes,-0.183,4,https://planscore.org/plan.html?20260117T234258.555518952Z
 predict10D,VA,,0.073,11,https://planscore.org/plan.html?20260117T234336.675178157Z
 predict10D,VT,,0.0,1,
@@ -1553,7 +1553,7 @@ predict9D,AK,,0.0,1,
 predict9D,AL,,0.0,7,
 predict9D,AR,,0.0,4,
 predict9D,AZ,,0.0,9,
-predict9D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict9D,CA,yes,0.081,52,https://planscore.org/plan.html?20260118T030331.043046348Z
 predict9D,CO,,0.0,8,
 predict9D,CT,,0.0,5,
 predict9D,DE,,0.0,1,
@@ -1572,8 +1572,8 @@ predict9D,MD,,0.0,8,
 predict9D,ME,,0.0,2,
 predict9D,MI,,0.0,13,
 predict9D,MN,,0.0,8,
-predict9D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict9D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict9D,MO,yes,-0.086,8,https://planscore.org/plan.html?20260118T030626.530607494Z
+predict9D,MS,yes,-0.168,4,https://planscore.org/plan.html?20260118T030806.388982732Z
 predict9D,MT,,0.0,2,
 predict9D,NC,yes,0.096,14,https://planscore.org/plan.html?20260117T234221.458859302Z
 predict9D,ND,,0.0,1,
@@ -1583,7 +1583,7 @@ predict9D,NJ,,0.0,12,
 predict9D,NM,,0.0,3,
 predict9D,NV,,0.0,4,
 predict9D,NY,,0.0,26,
-predict9D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict9D,OH,yes,-0.007,15,https://planscore.org/plan.html?20260118T030725.812163091Z
 predict9D,OK,,0.0,5,
 predict9D,OR,,0.0,6,
 predict9D,PA,,0.0,17,
@@ -1591,7 +1591,7 @@ predict9D,RI,,0.0,2,
 predict9D,SC,,0.0,7,
 predict9D,SD,,0.0,1,
 predict9D,TN,,0.0,9,
-predict9D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict9D,TX,yes,-0.082,38,https://planscore.org/plan.html?20260118T030511.831201923Z
 predict9D,UT,yes,-0.179,4,https://planscore.org/plan.html?20260117T234258.688560986Z
 predict9D,VA,,0.073,11,https://planscore.org/plan.html?20260117T234336.451498751Z
 predict9D,VT,,0.0,1,
@@ -1603,7 +1603,7 @@ predict8D,AK,,0.0,1,
 predict8D,AL,,0.0,7,
 predict8D,AR,,0.0,4,
 predict8D,AZ,,0.0,9,
-predict8D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict8D,CA,yes,0.093,52,https://planscore.org/plan.html?20260118T030330.025827987Z
 predict8D,CO,,0.0,8,
 predict8D,CT,,0.0,5,
 predict8D,DE,,0.0,1,
@@ -1622,8 +1622,8 @@ predict8D,MD,,0.0,8,
 predict8D,ME,,0.0,2,
 predict8D,MI,,0.0,13,
 predict8D,MN,,0.0,8,
-predict8D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict8D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict8D,MO,yes,-0.121,8,https://planscore.org/plan.html?20260118T030623.873968463Z
+predict8D,MS,yes,-0.148,4,https://planscore.org/plan.html?20260118T030806.343174183Z
 predict8D,MT,,0.0,2,
 predict8D,NC,yes,0.029,14,https://planscore.org/plan.html?20260117T234221.368325905Z
 predict8D,ND,,0.0,1,
@@ -1633,7 +1633,7 @@ predict8D,NJ,,0.0,12,
 predict8D,NM,,0.0,3,
 predict8D,NV,,0.0,4,
 predict8D,NY,,0.0,26,
-predict8D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict8D,OH,yes,-0.028,15,https://planscore.org/plan.html?20260118T030720.270066051Z
 predict8D,OK,,0.0,5,
 predict8D,OR,,0.0,6,
 predict8D,PA,,0.0,17,
@@ -1641,7 +1641,7 @@ predict8D,RI,,0.0,2,
 predict8D,SC,,0.0,7,
 predict8D,SD,,0.0,1,
 predict8D,TN,,0.0,9,
-predict8D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict8D,TX,yes,-0.114,38,https://planscore.org/plan.html?20260118T030511.634280701Z
 predict8D,UT,yes,-0.167,4,https://planscore.org/plan.html?20260117T234258.064963898Z
 predict8D,VA,,0.069,11,https://planscore.org/plan.html?20260117T234336.199011895Z
 predict8D,VT,,0.0,1,
@@ -1653,7 +1653,7 @@ predict7D,AK,,0.0,1,
 predict7D,AL,,0.0,7,
 predict7D,AR,,0.0,4,
 predict7D,AZ,,0.0,9,
-predict7D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict7D,CA,yes,0.104,52,https://planscore.org/plan.html?20260118T030252.997967710Z
 predict7D,CO,,0.0,8,
 predict7D,CT,,0.0,5,
 predict7D,DE,,0.0,1,
@@ -1672,8 +1672,8 @@ predict7D,MD,,0.0,8,
 predict7D,ME,,0.0,2,
 predict7D,MI,,0.0,13,
 predict7D,MN,,0.0,8,
-predict7D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict7D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict7D,MO,yes,-0.15,8,https://planscore.org/plan.html?20260118T030623.022534564Z
+predict7D,MS,yes,-0.129,4,https://planscore.org/plan.html?20260118T030804.719413815Z
 predict7D,MT,,0.0,2,
 predict7D,NC,yes,-0.043,14,https://planscore.org/plan.html?20260117T234221.270985772Z
 predict7D,ND,,0.0,1,
@@ -1683,7 +1683,7 @@ predict7D,NJ,,0.0,12,
 predict7D,NM,,0.0,3,
 predict7D,NV,,0.0,4,
 predict7D,NY,,0.0,26,
-predict7D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict7D,OH,yes,-0.051,15,https://planscore.org/plan.html?20260118T030716.163628881Z
 predict7D,OK,,0.0,5,
 predict7D,OR,,0.0,6,
 predict7D,PA,,0.0,17,
@@ -1691,7 +1691,7 @@ predict7D,RI,,0.0,2,
 predict7D,SC,,0.0,7,
 predict7D,SD,,0.0,1,
 predict7D,TN,,0.0,9,
-predict7D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict7D,TX,yes,-0.138,38,https://planscore.org/plan.html?20260118T030511.787812485Z
 predict7D,UT,yes,-0.15,4,https://planscore.org/plan.html?20260117T234258.384641936Z
 predict7D,VA,,0.068,11,https://planscore.org/plan.html?20260117T234336.060619480Z
 predict7D,VT,,0.0,1,
@@ -1703,7 +1703,7 @@ predict6D,AK,,0.0,1,
 predict6D,AL,,0.0,7,
 predict6D,AR,,0.0,4,
 predict6D,AZ,,0.0,9,
-predict6D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict6D,CA,yes,0.116,52,https://planscore.org/plan.html?20260118T030252.845197453Z
 predict6D,CO,,0.0,8,
 predict6D,CT,,0.0,5,
 predict6D,DE,,0.0,1,
@@ -1722,8 +1722,8 @@ predict6D,MD,,0.0,8,
 predict6D,ME,,0.0,2,
 predict6D,MI,,0.0,13,
 predict6D,MN,,0.0,8,
-predict6D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict6D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict6D,MT,,0.0,2,
 predict6D,NC,yes,-0.106,14,https://planscore.org/plan.html?20260117T234221.612505460Z
 predict6D,ND,,0.0,1,
@@ -1733,7 +1733,7 @@ predict6D,NJ,,0.0,12,
 predict6D,NM,,0.0,3,
 predict6D,NV,,0.0,4,
 predict6D,NY,,0.0,26,
-predict6D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict6D,OK,,0.0,5,
 predict6D,OR,,0.0,6,
 predict6D,PA,,0.0,17,
@@ -1741,7 +1741,7 @@ predict6D,RI,,0.0,2,
 predict6D,SC,,0.0,7,
 predict6D,SD,,0.0,1,
 predict6D,TN,,0.0,9,
-predict6D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
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 predict6D,UT,yes,-0.131,4,https://planscore.org/plan.html?20260117T234258.469650078Z
 predict6D,VA,,0.061,11,https://planscore.org/plan.html?20260117T234336.957781207Z
 predict6D,VT,,0.0,1,
@@ -1753,7 +1753,7 @@ predict5D,AK,,0.0,1,
 predict5D,AL,,0.0,7,
 predict5D,AR,,0.0,4,
 predict5D,AZ,,0.0,9,
-predict5D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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 predict5D,CO,,0.0,8,
 predict5D,CT,,0.0,5,
 predict5D,DE,,0.0,1,
@@ -1772,8 +1772,8 @@ predict5D,MD,,0.0,8,
 predict5D,ME,,0.0,2,
 predict5D,MI,,0.0,13,
 predict5D,MN,,0.0,8,
-predict5D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict5D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict5D,MT,,0.0,2,
 predict5D,NC,yes,-0.158,14,https://planscore.org/plan.html?20260117T234221.600050008Z
 predict5D,ND,,0.0,1,
@@ -1783,7 +1783,7 @@ predict5D,NJ,,0.0,12,
 predict5D,NM,,0.0,3,
 predict5D,NV,,0.0,4,
 predict5D,NY,,0.0,26,
-predict5D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict5D,OK,,0.0,5,
 predict5D,OR,,0.0,6,
 predict5D,PA,,0.0,17,
@@ -1791,7 +1791,7 @@ predict5D,RI,,0.0,2,
 predict5D,SC,,0.0,7,
 predict5D,SD,,0.0,1,
 predict5D,TN,,0.0,9,
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 predict5D,UT,yes,-0.111,4,https://planscore.org/plan.html?20260117T234258.320182311Z
 predict5D,VA,,0.052,11,https://planscore.org/plan.html?20260117T234336.698952557Z
 predict5D,VT,,0.0,1,
@@ -1803,7 +1803,7 @@ predict4D,AK,,0.0,1,
 predict4D,AL,,0.0,7,
 predict4D,AR,,0.0,4,
 predict4D,AZ,,0.0,9,
-predict4D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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 predict4D,CO,,0.0,8,
 predict4D,CT,,0.0,5,
 predict4D,DE,,0.0,1,
@@ -1822,8 +1822,8 @@ predict4D,MD,,0.0,8,
 predict4D,ME,,0.0,2,
 predict4D,MI,,0.0,13,
 predict4D,MN,,0.0,8,
-predict4D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict4D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict4D,MT,,0.0,2,
 predict4D,NC,yes,-0.194,14,https://planscore.org/plan.html?20260117T234221.969053780Z
 predict4D,ND,,0.0,1,
@@ -1833,7 +1833,7 @@ predict4D,NJ,,0.0,12,
 predict4D,NM,,0.0,3,
 predict4D,NV,,0.0,4,
 predict4D,NY,,0.0,26,
-predict4D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict4D,OK,,0.0,5,
 predict4D,OR,,0.0,6,
 predict4D,PA,,0.0,17,
@@ -1841,7 +1841,7 @@ predict4D,RI,,0.0,2,
 predict4D,SC,,0.0,7,
 predict4D,SD,,0.0,1,
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-predict4D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
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 predict4D,UT,yes,-0.091,4,https://planscore.org/plan.html?20260117T234258.272329018Z
 predict4D,VA,,0.042,11,https://planscore.org/plan.html?20260117T234336.305127911Z
 predict4D,VT,,0.0,1,
@@ -1853,7 +1853,7 @@ predict3D,AK,,0.0,1,
 predict3D,AL,,0.0,7,
 predict3D,AR,,0.0,4,
 predict3D,AZ,,0.0,9,
-predict3D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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 predict3D,CO,,0.0,8,
 predict3D,CT,,0.0,5,
 predict3D,DE,,0.0,1,
@@ -1872,8 +1872,8 @@ predict3D,MD,,0.0,8,
 predict3D,ME,,0.0,2,
 predict3D,MI,,0.0,13,
 predict3D,MN,,0.0,8,
-predict3D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict3D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict3D,MT,,0.0,2,
 predict3D,NC,yes,-0.216,14,https://planscore.org/plan.html?20260117T234221.796939814Z
 predict3D,ND,,0.0,1,
@@ -1883,7 +1883,7 @@ predict3D,NJ,,0.0,12,
 predict3D,NM,,0.0,3,
 predict3D,NV,,0.0,4,
 predict3D,NY,,0.0,26,
-predict3D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict3D,OK,,0.0,5,
 predict3D,OR,,0.0,6,
 predict3D,PA,,0.0,17,
@@ -1891,7 +1891,7 @@ predict3D,RI,,0.0,2,
 predict3D,SC,,0.0,7,
 predict3D,SD,,0.0,1,
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-predict3D,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
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 predict3D,UT,yes,-0.071,4,https://planscore.org/plan.html?20260117T234258.031041000Z
 predict3D,VA,,0.031,11,https://planscore.org/plan.html?20260117T234336.515941951Z
 predict3D,VT,,0.0,1,
@@ -1903,7 +1903,7 @@ predict2D,AK,,0.0,1,
 predict2D,AL,,0.0,7,
 predict2D,AR,,0.0,4,
 predict2D,AZ,,0.0,9,
-predict2D,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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 predict2D,CO,,0.0,8,
 predict2D,CT,,0.0,5,
 predict2D,DE,,0.0,1,
@@ -1922,8 +1922,8 @@ predict2D,MD,,0.0,8,
 predict2D,ME,,0.0,2,
 predict2D,MI,,0.0,13,
 predict2D,MN,,0.0,8,
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-predict2D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict2D,MT,,0.0,2,
 predict2D,NC,yes,-0.23,14,https://planscore.org/plan.html?20260117T234221.568537282Z
 predict2D,ND,,0.0,1,
@@ -1933,7 +1933,7 @@ predict2D,NJ,,0.0,12,
 predict2D,NM,,0.0,3,
 predict2D,NV,,0.0,4,
 predict2D,NY,,0.0,26,
-predict2D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict2D,OK,,0.0,5,
 predict2D,OR,,0.0,6,
 predict2D,PA,,0.0,17,
@@ -1941,7 +1941,7 @@ predict2D,RI,,0.0,2,
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 predict2D,TN,,0.0,9,
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 predict2D,UT,yes,-0.052,4,https://planscore.org/plan.html?20260117T234258.723719788Z
 predict2D,VA,,0.022,11,https://planscore.org/plan.html?20260117T234336.770882824Z
 predict2D,VT,,0.0,1,
@@ -1953,7 +1953,7 @@ predict1D,AK,,0.0,1,
 predict1D,AL,,0.0,7,
 predict1D,AR,,0.0,4,
 predict1D,AZ,,0.0,9,
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 predict1D,CO,,0.0,8,
 predict1D,CT,,0.0,5,
 predict1D,DE,,0.0,1,
@@ -1972,8 +1972,8 @@ predict1D,MD,,0.0,8,
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 predict1D,MI,,0.0,13,
 predict1D,MN,,0.0,8,
-predict1D,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict1D,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict1D,MO,yes,-0.174,8,https://planscore.org/plan.html?20260118T030613.658819192Z
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 predict1D,MT,,0.0,2,
 predict1D,NC,yes,-0.233,14,https://planscore.org/plan.html?20260117T234221.056068356Z
 predict1D,ND,,0.0,1,
@@ -1983,7 +1983,7 @@ predict1D,NJ,,0.0,12,
 predict1D,NM,,0.0,3,
 predict1D,NV,,0.0,4,
 predict1D,NY,,0.0,26,
-predict1D,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict1D,OK,,0.0,5,
 predict1D,OR,,0.0,6,
 predict1D,PA,,0.0,17,
@@ -1991,7 +1991,7 @@ predict1D,RI,,0.0,2,
 predict1D,SC,,0.0,7,
 predict1D,SD,,0.0,1,
 predict1D,TN,,0.0,9,
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+predict1D,TX,yes,-0.144,38,https://planscore.org/plan.html?20260118T030431.400900689Z
 predict1D,UT,yes,-0.035,4,https://planscore.org/plan.html?20260117T234258.229422821Z
 predict1D,VA,,0.011,11,https://planscore.org/plan.html?20260117T234336.509215875Z
 predict1D,VT,,0.0,1,
@@ -2003,7 +2003,7 @@ predict0,AK,,0.0,1,
 predict0,AL,,0.0,7,
 predict0,AR,,0.0,4,
 predict0,AZ,,0.0,9,
-predict0,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict0,CA,yes,0.136,52,https://planscore.org/plan.html?20260118T030252.652919306Z
 predict0,CO,,0.0,8,
 predict0,CT,,0.0,5,
 predict0,DE,,0.0,1,
@@ -2022,8 +2022,8 @@ predict0,MD,,0.0,8,
 predict0,ME,,0.0,2,
 predict0,MI,,0.0,13,
 predict0,MN,,0.0,8,
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-predict0,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict0,MO,yes,-0.161,8,https://planscore.org/plan.html?20260118T030613.245734369Z
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 predict0,MT,,0.0,2,
 predict0,NC,yes,-0.227,14,https://planscore.org/plan.html?20260118T001631.540221736Z
 predict0,ND,,0.0,1,
@@ -2033,7 +2033,7 @@ predict0,NJ,,0.0,12,
 predict0,NM,,0.0,3,
 predict0,NV,,0.0,4,
 predict0,NY,,0.0,26,
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+predict0,OH,yes,-0.15,15,https://planscore.org/plan.html?20260118T030701.322881787Z
 predict0,OK,,0.0,5,
 predict0,OR,,0.0,6,
 predict0,PA,,0.0,17,
@@ -2041,7 +2041,7 @@ predict0,RI,,0.0,2,
 predict0,SC,,0.0,7,
 predict0,SD,,0.0,1,
 predict0,TN,,0.0,9,
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 predict0,UT,yes,-0.022,4,https://planscore.org/plan.html?20260118T001634.186677257Z
 predict0,VA,,0.003,11,https://planscore.org/plan.html?20260118T001636.365843215Z
 predict0,VT,,0.0,1,
@@ -2053,7 +2053,7 @@ predict1R,AK,,0.0,1,
 predict1R,AL,,0.0,7,
 predict1R,AR,,0.0,4,
 predict1R,AZ,,0.0,9,
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+predict1R,CA,yes,0.124,52,https://planscore.org/plan.html?20260118T030252.680510220Z
 predict1R,CO,,0.0,8,
 predict1R,CT,,0.0,5,
 predict1R,DE,,0.0,1,
@@ -2072,8 +2072,8 @@ predict1R,MD,,0.0,8,
 predict1R,ME,,0.0,2,
 predict1R,MI,,0.0,13,
 predict1R,MN,,0.0,8,
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-predict1R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict1R,MO,yes,-0.144,8,https://planscore.org/plan.html?20260118T030607.209410478Z
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 predict1R,MT,,0.0,2,
 predict1R,NC,yes,-0.216,14,https://planscore.org/plan.html?20260117T234156.465130495Z
 predict1R,ND,,0.0,1,
@@ -2083,7 +2083,7 @@ predict1R,NJ,,0.0,12,
 predict1R,NM,,0.0,3,
 predict1R,NV,,0.0,4,
 predict1R,NY,,0.0,26,
-predict1R,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict1R,OK,,0.0,5,
 predict1R,OR,,0.0,6,
 predict1R,PA,,0.0,17,
@@ -2091,7 +2091,7 @@ predict1R,RI,,0.0,2,
 predict1R,SC,,0.0,7,
 predict1R,SD,,0.0,1,
 predict1R,TN,,0.0,9,
-predict1R,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict1R,TX,yes,-0.115,38,https://planscore.org/plan.html?20260118T030423.823475436Z
 predict1R,UT,yes,-0.011,4,https://planscore.org/plan.html?20260117T234245.143444456Z
 predict1R,VA,,-0.005,11,https://planscore.org/plan.html?20260117T234312.712481701Z
 predict1R,VT,,0.0,1,
@@ -2103,7 +2103,7 @@ predict2R,AK,,0.0,1,
 predict2R,AL,,0.0,7,
 predict2R,AR,,0.0,4,
 predict2R,AZ,,0.0,9,
-predict2R,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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 predict2R,CO,,0.0,8,
 predict2R,CT,,0.0,5,
 predict2R,DE,,0.0,1,
@@ -2122,8 +2122,8 @@ predict2R,MD,,0.0,8,
 predict2R,ME,,0.0,2,
 predict2R,MI,,0.0,13,
 predict2R,MN,,0.0,8,
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-predict2R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict2R,MO,yes,-0.128,8,https://planscore.org/plan.html?20260118T030607.194953407Z
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 predict2R,MT,,0.0,2,
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 predict2R,ND,,0.0,1,
@@ -2133,7 +2133,7 @@ predict2R,NJ,,0.0,12,
 predict2R,NM,,0.0,3,
 predict2R,NV,,0.0,4,
 predict2R,NY,,0.0,26,
-predict2R,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict2R,OK,,0.0,5,
 predict2R,OR,,0.0,6,
 predict2R,PA,,0.0,17,
@@ -2141,7 +2141,7 @@ predict2R,RI,,0.0,2,
 predict2R,SC,,0.0,7,
 predict2R,SD,,0.0,1,
 predict2R,TN,,0.0,9,
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+predict2R,TX,yes,-0.098,38,https://planscore.org/plan.html?20260118T030423.855729685Z
 predict2R,UT,yes,-0.008,4,https://planscore.org/plan.html?20260117T234246.646987203Z
 predict2R,VA,,-0.008,11,https://planscore.org/plan.html?20260117T234311.468266651Z
 predict2R,VT,,0.0,1,
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 predict3R,AL,,0.0,7,
 predict3R,AR,,0.0,4,
 predict3R,AZ,,0.0,9,
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 predict3R,CO,,0.0,8,
 predict3R,CT,,0.0,5,
 predict3R,DE,,0.0,1,
@@ -2172,8 +2172,8 @@ predict3R,MD,,0.0,8,
 predict3R,ME,,0.0,2,
 predict3R,MI,,0.0,13,
 predict3R,MN,,0.0,8,
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-predict3R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict3R,MO,yes,-0.11,8,https://planscore.org/plan.html?20260118T030601.745884321Z
+predict3R,MS,yes,0.062,4,https://planscore.org/plan.html?20260118T030752.293566925Z
 predict3R,MT,,0.0,2,
 predict3R,NC,yes,-0.185,14,https://planscore.org/plan.html?20260117T234156.638310881Z
 predict3R,ND,,0.0,1,
@@ -2183,7 +2183,7 @@ predict3R,NJ,,0.0,12,
 predict3R,NM,,0.0,3,
 predict3R,NV,,0.0,4,
 predict3R,NY,,0.0,26,
-predict3R,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict3R,OH,yes,-0.128,15,https://planscore.org/plan.html?20260118T030655.519157246Z
 predict3R,OK,,0.0,5,
 predict3R,OR,,0.0,6,
 predict3R,PA,,0.0,17,
@@ -2191,7 +2191,7 @@ predict3R,RI,,0.0,2,
 predict3R,SC,,0.0,7,
 predict3R,SD,,0.0,1,
 predict3R,TN,,0.0,9,
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 predict3R,UT,yes,-0.011,4,https://planscore.org/plan.html?20260117T234245.579626535Z
 predict3R,VA,,-0.014,11,https://planscore.org/plan.html?20260117T234311.159862084Z
 predict3R,VT,,0.0,1,
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 predict4R,AL,,0.0,7,
 predict4R,AR,,0.0,4,
 predict4R,AZ,,0.0,9,
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 predict4R,CO,,0.0,8,
 predict4R,CT,,0.0,5,
 predict4R,DE,,0.0,1,
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 predict4R,ME,,0.0,2,
 predict4R,MI,,0.0,13,
 predict4R,MN,,0.0,8,
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-predict4R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict4R,MO,yes,-0.092,8,https://planscore.org/plan.html?20260118T030601.827495017Z
+predict4R,MS,yes,0.08,4,https://planscore.org/plan.html?20260118T030751.713665634Z
 predict4R,MT,,0.0,2,
 predict4R,NC,yes,-0.167,14,https://planscore.org/plan.html?20260117T234156.580785945Z
 predict4R,ND,,0.0,1,
@@ -2233,7 +2233,7 @@ predict4R,NJ,,0.0,12,
 predict4R,NM,,0.0,3,
 predict4R,NV,,0.0,4,
 predict4R,NY,,0.0,26,
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 predict4R,OK,,0.0,5,
 predict4R,OR,,0.0,6,
 predict4R,PA,,0.0,17,
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 predict4R,SC,,0.0,7,
 predict4R,SD,,0.0,1,
 predict4R,TN,,0.0,9,
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 predict4R,UT,yes,-0.014,4,https://planscore.org/plan.html?20260117T234245.192003314Z
 predict4R,VA,,-0.019,11,https://planscore.org/plan.html?20260117T234311.769107907Z
 predict4R,VT,,0.0,1,
@@ -2253,7 +2253,7 @@ predict5R,AK,,0.0,1,
 predict5R,AL,,0.0,7,
 predict5R,AR,,0.0,4,
 predict5R,AZ,,0.0,9,
-predict5R,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
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 predict5R,CO,,0.0,8,
 predict5R,CT,,0.0,5,
 predict5R,DE,,0.0,1,
@@ -2272,8 +2272,8 @@ predict5R,MD,,0.0,8,
 predict5R,ME,,0.0,2,
 predict5R,MI,,0.0,13,
 predict5R,MN,,0.0,8,
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-predict5R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict5R,MO,yes,-0.074,8,https://planscore.org/plan.html?20260118T030600.406733173Z
+predict5R,MS,yes,0.098,4,https://planscore.org/plan.html?20260118T030744.175590594Z
 predict5R,MT,,0.0,2,
 predict5R,NC,yes,-0.147,14,https://planscore.org/plan.html?20260117T234156.668749961Z
 predict5R,ND,,0.0,1,
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 predict5R,NM,,0.0,3,
 predict5R,NV,,0.0,4,
 predict5R,NY,,0.0,26,
-predict5R,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
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 predict5R,OK,,0.0,5,
 predict5R,OR,,0.0,6,
 predict5R,PA,,0.0,17,
@@ -2291,7 +2291,7 @@ predict5R,RI,,0.0,2,
 predict5R,SC,,0.0,7,
 predict5R,SD,,0.0,1,
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 predict5R,UT,yes,-0.026,4,https://planscore.org/plan.html?20260117T234245.146139982Z
 predict5R,VA,,-0.021,11,https://planscore.org/plan.html?20260117T234311.299631581Z
 predict5R,VT,,0.0,1,
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 predict6R,AL,,0.0,7,
 predict6R,AR,,0.0,4,
 predict6R,AZ,,0.0,9,
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 predict6R,CO,,0.0,8,
 predict6R,CT,,0.0,5,
 predict6R,DE,,0.0,1,
@@ -2322,8 +2322,8 @@ predict6R,MD,,0.0,8,
 predict6R,ME,,0.0,2,
 predict6R,MI,,0.0,13,
 predict6R,MN,,0.0,8,
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-predict6R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict6R,MT,,0.0,2,
 predict6R,NC,yes,-0.127,14,https://planscore.org/plan.html?20260117T234156.081909068Z
 predict6R,ND,,0.0,1,
@@ -2333,7 +2333,7 @@ predict6R,NJ,,0.0,12,
 predict6R,NM,,0.0,3,
 predict6R,NV,,0.0,4,
 predict6R,NY,,0.0,26,
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 predict6R,OK,,0.0,5,
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 predict6R,PA,,0.0,17,
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 predict6R,SC,,0.0,7,
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 predict6R,UT,yes,-0.037,4,https://planscore.org/plan.html?20260117T234245.168662904Z
 predict6R,VA,,-0.019,11,https://planscore.org/plan.html?20260117T234311.884055474Z
 predict6R,VT,,0.0,1,
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 predict7R,AR,,0.0,4,
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 predict7R,CO,,0.0,8,
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 predict7R,DE,,0.0,1,
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-predict7R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict7R,ND,,0.0,1,
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 predict7R,NV,,0.0,4,
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 predict7R,OK,,0.0,5,
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 predict7R,PA,,0.0,17,
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 predict7R,UT,yes,-0.046,4,https://planscore.org/plan.html?20260117T234245.180439542Z
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 predict7R,VT,,0.0,1,
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 predict8R,CO,,0.0,8,
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 predict8R,DE,,0.0,1,
@@ -2422,8 +2422,8 @@ predict8R,MD,,0.0,8,
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 predict8R,ND,,0.0,1,
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 predict8R,NY,,0.0,26,
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 predict8R,OK,,0.0,5,
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 predict8R,PA,,0.0,17,
@@ -2441,7 +2441,7 @@ predict8R,RI,,0.0,2,
 predict8R,SC,,0.0,7,
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 predict8R,UT,yes,-0.05,4,https://planscore.org/plan.html?20260117T234245.448786761Z
 predict8R,VA,,-0.001,11,https://planscore.org/plan.html?20260117T234311.377663437Z
 predict8R,VT,,0.0,1,
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 predict9R,AR,,0.0,4,
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 predict9R,CO,,0.0,8,
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 predict9R,DE,,0.0,1,
@@ -2472,8 +2472,8 @@ predict9R,MD,,0.0,8,
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 predict9R,MI,,0.0,13,
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 predict9R,MT,,0.0,2,
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 predict9R,ND,,0.0,1,
@@ -2483,7 +2483,7 @@ predict9R,NJ,,0.0,12,
 predict9R,NM,,0.0,3,
 predict9R,NV,,0.0,4,
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 predict9R,OK,,0.0,5,
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 predict9R,PA,,0.0,17,
@@ -2491,7 +2491,7 @@ predict9R,RI,,0.0,2,
 predict9R,SC,,0.0,7,
 predict9R,SD,,0.0,1,
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 predict9R,UT,yes,-0.053,4,https://planscore.org/plan.html?20260117T234245.311067908Z
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 predict10R,CO,,0.0,8,
 predict10R,CT,,0.0,5,
 predict10R,DE,,0.0,1,
@@ -2522,8 +2522,8 @@ predict10R,MD,,0.0,8,
 predict10R,ME,,0.0,2,
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-predict10R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
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 predict10R,MT,,0.0,2,
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 predict10R,ND,,0.0,1,
@@ -2533,7 +2533,7 @@ predict10R,NJ,,0.0,12,
 predict10R,NM,,0.0,3,
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 predict10R,OK,,0.0,5,
 predict10R,OR,,0.0,6,
 predict10R,PA,,0.0,17,
@@ -2541,7 +2541,7 @@ predict10R,RI,,0.0,2,
 predict10R,SC,,0.0,7,
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 predict10R,UT,yes,-0.049,4,https://planscore.org/plan.html?20260117T234245.625717273Z
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 predict10R,VT,,0.0,1,
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 predict11R,CO,,0.0,8,
 predict11R,CT,,0.0,5,
 predict11R,DE,,0.0,1,
@@ -2572,8 +2572,8 @@ predict11R,MD,,0.0,8,
 predict11R,ME,,0.0,2,
 predict11R,MI,,0.0,13,
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-predict11R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict11R,MO,yes,0.033,8,https://planscore.org/plan.html?20260118T030547.581530491Z
+predict11R,MS,yes,0.14,4,https://planscore.org/plan.html?20260118T030740.517657323Z
 predict11R,MT,,0.0,2,
 predict11R,NC,yes,-0.026,14,https://planscore.org/plan.html?20260117T234155.737098406Z
 predict11R,ND,,0.0,1,
@@ -2583,7 +2583,7 @@ predict11R,NJ,,0.0,12,
 predict11R,NM,,0.0,3,
 predict11R,NV,,0.0,4,
 predict11R,NY,,0.0,26,
-predict11R,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict11R,OH,yes,0.003,15,https://planscore.org/plan.html?20260118T030637.728645134Z
 predict11R,OK,,0.0,5,
 predict11R,OR,,0.0,6,
 predict11R,PA,,0.0,17,
@@ -2591,7 +2591,7 @@ predict11R,RI,,0.0,2,
 predict11R,SC,,0.0,7,
 predict11R,SD,,0.0,1,
 predict11R,TN,,0.0,9,
-predict11R,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict11R,TX,yes,0.044,38,https://planscore.org/plan.html?20260118T030331.738486725Z
 predict11R,UT,yes,-0.037,4,https://planscore.org/plan.html?20260117T234245.926777968Z
 predict11R,VA,,0.035,11,https://planscore.org/plan.html?20260117T234311.872389943Z
 predict11R,VT,,0.0,1,
@@ -2603,7 +2603,7 @@ predict12R,AK,,0.0,1,
 predict12R,AL,,0.0,7,
 predict12R,AR,,0.0,4,
 predict12R,AZ,,0.0,9,
-predict12R,CA,yes,0.0,52,https://planscore.org/plan.html?20251109T005753.161170853Z
+predict12R,CA,yes,-0.094,52,https://planscore.org/plan.html?20260118T030200.294312663Z
 predict12R,CO,,0.0,8,
 predict12R,CT,,0.0,5,
 predict12R,DE,,0.0,1,
@@ -2622,8 +2622,8 @@ predict12R,MD,,0.0,8,
 predict12R,ME,,0.0,2,
 predict12R,MI,,0.0,13,
 predict12R,MN,,0.0,8,
-predict12R,MO,yes,0.0,8,https://planscore.org/plan.html?20251116T014919.269577678Z
-predict12R,MS,yes,0.0,4,https://planscore.org/plan.html?20251228T184417.650378800Z
+predict12R,MO,yes,0.051,8,https://planscore.org/plan.html?20260118T030547.292371665Z
+predict12R,MS,yes,0.127,4,https://planscore.org/plan.html?20260118T030740.058286956Z
 predict12R,MT,,0.0,2,
 predict12R,NC,yes,-0.007,14,https://planscore.org/plan.html?20260117T234155.082537795Z
 predict12R,ND,,0.0,1,
@@ -2633,7 +2633,7 @@ predict12R,NJ,,0.0,12,
 predict12R,NM,,0.0,3,
 predict12R,NV,,0.0,4,
 predict12R,NY,,0.0,26,
-predict12R,OH,yes,0.0,15,https://planscore.org/plan.html?20251030T231915.464256903Z
+predict12R,OH,yes,0.021,15,https://planscore.org/plan.html?20260118T030637.946673077Z
 predict12R,OK,,0.0,5,
 predict12R,OR,,0.0,6,
 predict12R,PA,,0.0,17,
@@ -2641,7 +2641,7 @@ predict12R,RI,,0.0,2,
 predict12R,SC,,0.0,7,
 predict12R,SD,,0.0,1,
 predict12R,TN,,0.0,9,
-predict12R,TX,yes,0.0,38,https://planscore.org/plan.html?20251219T184700.037794076Z
+predict12R,TX,yes,0.054,38,https://planscore.org/plan.html?20260118T030331.720171855Z
 predict12R,UT,yes,-0.024,4,https://planscore.org/plan.html?20260117T234245.745755577Z
 predict12R,VA,,0.039,11,https://planscore.org/plan.html?20260117T234311.522115761Z
 predict12R,VT,,0.0,1,
diff --git a/update-ushouse-vote-swings.py b/update-ushouse-vote-swings.py
index d361139a..003fdadd 100755
--- a/update-ushouse-vote-swings.py
+++ b/update-ushouse-vote-swings.py
@@ -693,8 +693,9 @@ def build_state_swings(service, states: dict, district_swings: dict, api_key: st
     clone_tasks = []
     state_rows = []
 
-    # TEMPORARY: Hardcode Illinois, North Carolina, Utah, and Virginia for Stage 3 testing
-    state_abbrevs = ["IL", "NC", "UT", "VA"]  # Will expand to sorted(states.keys()) in later stages
+    # TEMPORARY: Hardcode Illinois, Virginia, and redrawn states
+    # TODO: expand to sorted(states.keys()) in later stages
+    state_abbrevs = ["IL", "VA", "CA", "TX", "MO", "OH", "NC", "UT", "MS"]
 
     for abbrev in state_abbrevs:
         state_data = states[abbrev]

From 8b16b79805736f66c22bd7c674a43abb710b707f Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 19:39:40 -0800
Subject: [PATCH 19/22] Updated labelling throughout process to "No-Swing" and
 "+NND"

---
 index.js6                     | 58 +++++++++++++++++++----------------
 update-ushouse-vote-swings.py |  4 +--
 2 files changed, 33 insertions(+), 29 deletions(-)

diff --git a/index.js6 b/index.js6
index 429dc101..ec1b0d86 100644
--- a/index.js6
+++ b/index.js6
@@ -39,7 +39,7 @@ const PREDICTION_SLIDER = {
     centerY: null,   // set during initialization from DOM
     minValue: -12,   // R+12 (right side)
     maxValue: 12,    // D+12 (left side)
-    currentValue: 0, // default: Even (center)
+    currentValue: 0, // default: no-swing (center)
 };
 
 // the map uses a choropleth constructed from BELLCURVE_SPREAD
@@ -228,12 +228,6 @@ window.initPredictionSlider = () => {
         return PREDICTION_SLIDER.minX + fraction * (PREDICTION_SLIDER.maxX - PREDICTION_SLIDER.minX);
     };
 
-    // helper: format value as label text
-    const formatLabel = (value) => {
-        if (value === 0) return 'Even';
-        return value > 0 ? `+${value}D` : `+${Math.abs(value)}R`;
-    };
-
     // helper: update thumb position and label using matrix transform
     const updateThumb = (x, skipYearUpdate = false) => {
         // constrain x to slider bounds
@@ -250,7 +244,7 @@ window.initPredictionSlider = () => {
         $thumb.attr('transform', `translate(${translateX}, 0)`);
 
         // update label text
-        $label.text(formatLabel(value));
+        $label.text(formatSwingValue(value));
 
         // update the year state to match slider position
         if (!skipYearUpdate) {
@@ -351,18 +345,7 @@ window.initLoadStartingConditions = () => {
 
     // If we have a prediction year from the URL, parse it and set the slider value
     if (isPredictionYear(year)) {
-        const match = year.match(/predict(\d+)?([DR])?/);
-        if (match) {
-            const value = match[1] ? parseInt(match[1]) : 0;
-            const party = match[2];  // 'D', 'R', or undefined
-            if (party === 'R') {
-                PREDICTION_SLIDER.currentValue = -value;
-            } else if (party === 'D') {
-                PREDICTION_SLIDER.currentValue = value;
-            } else {
-                PREDICTION_SLIDER.currentValue = 0;
-            }
-        }
+        PREDICTION_SLIDER.currentValue = parseSwingSlug(year);
     }
 
     // ready, set, go
@@ -370,6 +353,28 @@ window.initLoadStartingConditions = () => {
     selectBoundaryType(type);
 };
 
+window.parseSwingSlug = (slug) => {
+    const match = slug.match(/predict(\d+)?([DR])?/);
+    if (match) {
+        const value = match[1] ? parseInt(match[1]) : 0;
+        const party = match[2];  // 'D', 'R', or undefined
+        if (party === 'R') {
+            return -value;
+        } else if (party === 'D') {
+            return value;
+        } else {
+            return 0;
+        }
+    }
+
+    return undefined;
+};
+
+window.formatSwingValue = (value) => {
+    if (value === 0) return 'No-Swing';
+    return value > 0 ? `+${value}D` : `+${Math.abs(value)}R`;
+};
+
 window.handleResize = () => {
     // various things that don't gracefully handle being resized, so we need to help them out
 
@@ -386,7 +391,7 @@ window.handleResize = () => {
 //
 
 // Helper: Convert prediction slider value to year string
-// value: -12 to +12 (negative = R, positive = D, 0 = Even)
+// value: -12 to +12 (negative = R, positive = D, 0 = No swing)
 // returns: "predict0", "predict12D", "predict12R", etc.
 window.getPredictionYearString = (value) => {
     if (value === 0) return 'predict0';
@@ -605,15 +610,14 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
         const stateslug = stateInfo.name.toLowerCase().replace(/\W/g, '_');
         const currview = CURRENT_VIEW.boundtype;
         const moreinfourl = stateInfo.url ? stateInfo.url : `/${stateslug}/#!${CURRENT_VIEW.year}-${plan_or_election}-${currview}`;
-        var labelPrefix = CURRENT_VIEW.year;
+        var linkHtml = `${CURRENT_VIEW.year} Plan`;
         if (isPredictionYear(CURRENT_VIEW.year)) {
-            labelPrefix = 'Predicted';
+            linkHtml = `${formatSwingValue(parseSwingSlug(CURRENT_VIEW.year))} Prediction`;
         } else if (isPrediction) {
-            labelPrefix = '2024+Remaps<sup>*</sup>';
+            linkHtml = '2024+Remaps<sup>*</sup> Plan';
         } else if (CURRENT_VIEW.year == 2026) {
-            labelPrefix = 2024;
+            linkHtml = '2024 Plan';
         }
-        const linkHtml = `(${labelPrefix} Plan)`;
         $('#state-tooltip .link').attr('href', moreinfourl).html(linkHtml);
 
         // Show/hide link based on data and seat count
@@ -654,7 +658,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             var currYear = CURRENT_VIEW.year;
             var turnoutNote = '';
             if (isPredictionYear(CURRENT_VIEW.year)) {
-                currYear = '2026 Predictions';
+                currYear = `${formatSwingValue(parseSwingSlug(CURRENT_VIEW.year))} Predictions`;
                 turnoutNote = '<sup>†</sup>';
             } else if(CURRENT_VIEW.year == 2026) {
                 currYear = '2024+Remaps<sup>*</sup>';
diff --git a/update-ushouse-vote-swings.py b/update-ushouse-vote-swings.py
index 003fdadd..1626ebe0 100755
--- a/update-ushouse-vote-swings.py
+++ b/update-ushouse-vote-swings.py
@@ -37,7 +37,7 @@
 }
 
 # Shift headers (25 scenarios)
-ZERO_HEADER = 'Zero Shift'
+ZERO_HEADER = 'No-Swing'
 SHIFT_HEADERS = ['R+12', 'R+11', 'R+10', 'R+9', 'R+8', 'R+7', 'R+6', 'R+5', 'R+4', 'R+3', 'R+2', 'R+1',
                  ZERO_HEADER, 'D+1', 'D+2', 'D+3', 'D+4', 'D+5', 'D+6', 'D+7', 'D+8', 'D+9', 'D+10', 'D+11', 'D+12']
 
@@ -313,7 +313,7 @@ def clone_plan_with_swings(api_key: str, plan_id: str, description: str, vote_sw
     payload = {
         "id": plan_id,
         "description": description,
-        "vote_swings": vote_swings,
+        "vote_swings": [round(s, 3) for s in vote_swings],
         "library_metadata": library_metadata,
     }
 

From 97c6c3e4bc680e6cf255be73a3072173bbad0fc1 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 19:46:41 -0800
Subject: [PATCH 20/22] Fix column name mismatch preventing predict0 URLs from
 syncing
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

User prompt: "The plan https://planscore.org/plan.html?20260118T033401.290781868Z
should be present in ~/Sites/PlanScore-FrontPage/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
after running ~/Sites/PlanScore-FrontPage/update-ushouse-data-files.sh but it is not.
I think our script is confused about the planscore URLs in the local CSV vs. the ones
in GDocs. The GDocs ones should override the local ones when a plan URL is called-for,
figure out why that's not happening and verify that my Illinois plan URL above is included."

Changed get_state_swings_column_name() to return "No-Swing PlanScore URL" instead
of "Zero Shift PlanScore URL" to match the actual column name in Google Sheets.

This allows predict0 cycle rows to correctly fetch and process plan URLs from the
State Swings worksheet.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 WEBSITE_OUTPUT/data/bias_ushouse-elections.csv | 18 +++++++++---------
 update-ushouse-data-files.py                   |  4 ++--
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index f0516104..5bd7c7f7 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -2003,7 +2003,7 @@ predict0,AK,,0.0,1,
 predict0,AL,,0.0,7,
 predict0,AR,,0.0,4,
 predict0,AZ,,0.0,9,
-predict0,CA,yes,0.136,52,https://planscore.org/plan.html?20260118T030252.652919306Z
+predict0,CA,yes,0.136,52,https://planscore.org/plan.html?20260118T033406.367827092Z
 predict0,CO,,0.0,8,
 predict0,CT,,0.0,5,
 predict0,DE,,0.0,1,
@@ -2012,7 +2012,7 @@ predict0,GA,,0.0,14,
 predict0,HI,,0.0,2,
 predict0,IA,,0.0,4,
 predict0,ID,,0.0,2,
-predict0,IL,,0.173,17,https://planscore.org/plan.html?20260118T001631.622137249Z
+predict0,IL,,0.173,17,https://planscore.org/plan.html?20260118T033401.290781868Z
 predict0,IN,,0.0,9,
 predict0,KS,,0.0,4,
 predict0,KY,,0.0,6,
@@ -2022,10 +2022,10 @@ predict0,MD,,0.0,8,
 predict0,ME,,0.0,2,
 predict0,MI,,0.0,13,
 predict0,MN,,0.0,8,
-predict0,MO,yes,-0.161,8,https://planscore.org/plan.html?20260118T030613.245734369Z
-predict0,MS,yes,0.007,4,https://planscore.org/plan.html?20260118T030753.052954058Z
+predict0,MO,yes,-0.161,8,https://planscore.org/plan.html?20260118T033412.268848738Z
+predict0,MS,yes,0.007,4,https://planscore.org/plan.html?20260118T033429.149694731Z
 predict0,MT,,0.0,2,
-predict0,NC,yes,-0.227,14,https://planscore.org/plan.html?20260118T001631.540221736Z
+predict0,NC,yes,-0.227,14,https://planscore.org/plan.html?20260118T033421.754867062Z
 predict0,ND,,0.0,1,
 predict0,NE,,0.0,3,
 predict0,NH,,0.0,2,
@@ -2033,7 +2033,7 @@ predict0,NJ,,0.0,12,
 predict0,NM,,0.0,3,
 predict0,NV,,0.0,4,
 predict0,NY,,0.0,26,
-predict0,OH,yes,-0.15,15,https://planscore.org/plan.html?20260118T030701.322881787Z
+predict0,OH,yes,-0.15,15,https://planscore.org/plan.html?20260118T033416.214891996Z
 predict0,OK,,0.0,5,
 predict0,OR,,0.0,6,
 predict0,PA,,0.0,17,
@@ -2041,9 +2041,9 @@ predict0,RI,,0.0,2,
 predict0,SC,,0.0,7,
 predict0,SD,,0.0,1,
 predict0,TN,,0.0,9,
-predict0,TX,yes,-0.131,38,https://planscore.org/plan.html?20260118T030423.156140601Z
-predict0,UT,yes,-0.022,4,https://planscore.org/plan.html?20260118T001634.186677257Z
-predict0,VA,,0.003,11,https://planscore.org/plan.html?20260118T001636.365843215Z
+predict0,TX,yes,-0.131,38,https://planscore.org/plan.html?20260118T033409.784544558Z
+predict0,UT,yes,-0.022,4,https://planscore.org/plan.html?20260118T033426.757338337Z
+predict0,VA,,0.003,11,https://planscore.org/plan.html?20260118T033402.058551298Z
 predict0,VT,,0.0,1,
 predict0,WA,,0.0,10,
 predict0,WI,,0.0,8,
diff --git a/update-ushouse-data-files.py b/update-ushouse-data-files.py
index 8feffaf1..fdccb501 100755
--- a/update-ushouse-data-files.py
+++ b/update-ushouse-data-files.py
@@ -151,14 +151,14 @@ def get_state_swings_column_name(cycle: str) -> typing.Optional[str]:
     """Convert cycle name to State Swings worksheet column name
 
     Examples:
-        predict0 -> Zero Shift PlanScore URL
+        predict0 -> No-Swing PlanScore URL
         predict1D -> D+1 PlanScore URL
         predict12D -> D+12 PlanScore URL
         predict1R -> R+1 PlanScore URL
         predict12R -> R+12 PlanScore URL
     """
     if cycle == "predict0":
-        return "Zero Shift PlanScore URL"
+        return "No-Swing PlanScore URL"
 
     # Parse predictXD or predictXR format
     match = re.match(r'^predict(\d+)([DR])$', cycle)

From d87593939d12f92f3ed6a56dad83f8d7a3367790 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sat, 17 Jan 2026 20:28:30 -0800
Subject: [PATCH 21/22] Ran all the states

---
 .../data/bias_ushouse-elections.csv           | 2050 ++++++++---------
 update-ushouse-vote-swings.py                 |    6 +-
 2 files changed, 1026 insertions(+), 1030 deletions(-)

diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index 5bd7c7f7..c6cd40ac 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1399,1253 +1399,1253 @@ cycle,stateabrev,newplan,EG,seats,url
 2026,WI,,-0.220,8,
 2026,WV,,-0.076,2,
 2026,WY,,0.005,1,
-predict12D,AK,,0.0,1,
-predict12D,AL,,0.0,7,
-predict12D,AR,,0.0,4,
-predict12D,AZ,,0.0,9,
+predict12D,AK,,0.332,1,https://planscore.org/plan.html?20260118T040044.026474429Z
+predict12D,AL,,-0.113,7,https://planscore.org/plan.html?20260118T040123.040082499Z
+predict12D,AR,,-0.107,4,https://planscore.org/plan.html?20260118T040158.623274757Z
+predict12D,AZ,,0.146,9,https://planscore.org/plan.html?20260118T040238.716763088Z
 predict12D,CA,yes,0.044,52,https://planscore.org/plan.html?20260118T030331.145136330Z
-predict12D,CO,,0.0,8,
-predict12D,CT,,0.0,5,
-predict12D,DE,,0.0,1,
-predict12D,FL,,0.0,28,
-predict12D,GA,,0.0,14,
-predict12D,HI,,0.0,2,
-predict12D,IA,,0.0,4,
-predict12D,ID,,0.0,2,
+predict12D,CO,,0.13,8,https://planscore.org/plan.html?20260118T040313.061583312Z
+predict12D,CT,,0.054,5,https://planscore.org/plan.html?20260118T040344.069098033Z
+predict12D,DE,,0.059,1,https://planscore.org/plan.html?20260118T040416.344099942Z
+predict12D,FL,,0.059,28,https://planscore.org/plan.html?20260118T040513.245051624Z
+predict12D,GA,,-0.096,14,https://planscore.org/plan.html?20260118T040611.622320268Z
+predict12D,HI,,-0.054,2,https://planscore.org/plan.html?20260118T040654.260027230Z
+predict12D,IA,,0.207,4,https://planscore.org/plan.html?20260118T040727.392649361Z
+predict12D,ID,,-0.191,2,https://planscore.org/plan.html?20260118T040757.782845431Z
 predict12D,IL,,-0.004,17,https://planscore.org/plan.html?20260118T000603.675349725Z
-predict12D,IN,,0.0,9,
-predict12D,KS,,0.0,4,
-predict12D,KY,,0.0,6,
-predict12D,LA,,0.0,6,
-predict12D,MA,,0.0,9,
-predict12D,MD,,0.0,8,
-predict12D,ME,,0.0,2,
-predict12D,MI,,0.0,13,
-predict12D,MN,,0.0,8,
+predict12D,IN,,-0.121,9,https://planscore.org/plan.html?20260118T040835.886055994Z
+predict12D,KS,,0.042,4,https://planscore.org/plan.html?20260118T040912.430163028Z
+predict12D,KY,,-0.092,6,https://planscore.org/plan.html?20260118T040942.004634272Z
+predict12D,LA,,-0.117,6,https://planscore.org/plan.html?20260118T041029.281123699Z
+predict12D,MA,,-0.046,9,https://planscore.org/plan.html?20260118T041058.779783828Z
+predict12D,MD,,-0.032,8,https://planscore.org/plan.html?20260118T041136.768247882Z
+predict12D,ME,,0.124,2,https://planscore.org/plan.html?20260118T041205.233415973Z
+predict12D,MI,,0.01,13,https://planscore.org/plan.html?20260118T041242.648814736Z
+predict12D,MN,,0.069,8,https://planscore.org/plan.html?20260118T041320.918455808Z
 predict12D,MO,yes,0.02,8,https://planscore.org/plan.html?20260118T030631.805452611Z
 predict12D,MS,yes,-0.212,4,https://planscore.org/plan.html?20260118T030806.674600353Z
-predict12D,MT,,0.0,2,
+predict12D,MT,,0.068,2,https://planscore.org/plan.html?20260118T041354.193518760Z
 predict12D,NC,yes,0.214,14,https://planscore.org/plan.html?20260118T000604.431947701Z
-predict12D,ND,,0.0,1,
-predict12D,NE,,0.0,3,
-predict12D,NH,,0.0,2,
-predict12D,NJ,,0.0,12,
-predict12D,NM,,0.0,3,
-predict12D,NV,,0.0,4,
-predict12D,NY,,0.0,26,
+predict12D,ND,,-0.326,1,https://planscore.org/plan.html?20260118T041431.780205233Z
+predict12D,NE,,0.139,3,https://planscore.org/plan.html?20260118T041457.373315949Z
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 predict6D,OH,yes,-0.075,15,https://planscore.org/plan.html?20260118T030715.994016276Z
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+predict6D,PA,,-0.005,17,https://planscore.org/plan.html?20260118T042003.815074232Z
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+predict6D,SC,,-0.18,7,https://planscore.org/plan.html?20260118T042130.373090715Z
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 predict6D,TX,yes,-0.155,38,https://planscore.org/plan.html?20260118T030511.148301073Z
 predict6D,UT,yes,-0.131,4,https://planscore.org/plan.html?20260117T234258.469650078Z
 predict6D,VA,,0.061,11,https://planscore.org/plan.html?20260117T234336.957781207Z
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+predict6D,WI,,-0.152,8,https://planscore.org/plan.html?20260118T042435.279572338Z
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 predict5D,CA,yes,0.127,52,https://planscore.org/plan.html?20260118T030252.737563658Z
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-predict5D,ID,,0.0,2,
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+predict5D,DE,,0.197,1,https://planscore.org/plan.html?20260118T040407.240727583Z
+predict5D,FL,,-0.116,28,https://planscore.org/plan.html?20260118T040454.014298362Z
+predict5D,GA,,-0.178,14,https://planscore.org/plan.html?20260118T040602.926245018Z
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+predict5D,MN,,-0.069,8,https://planscore.org/plan.html?20260118T041309.901172196Z
 predict5D,MO,yes,-0.182,8,https://planscore.org/plan.html?20260118T030621.229449404Z
 predict5D,MS,yes,-0.089,4,https://planscore.org/plan.html?20260118T030757.525458940Z
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 predict5D,NC,yes,-0.158,14,https://planscore.org/plan.html?20260117T234221.600050008Z
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 predict5D,OH,yes,-0.097,15,https://planscore.org/plan.html?20260118T030714.775910865Z
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+predict5D,PA,,-0.013,17,https://planscore.org/plan.html?20260118T042003.207174670Z
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+predict5D,SC,,-0.197,7,https://planscore.org/plan.html?20260118T042129.997300683Z
+predict5D,SD,,-0.269,1,https://planscore.org/plan.html?20260118T042206.603395389Z
+predict5D,TN,,-0.148,9,https://planscore.org/plan.html?20260118T042240.919269601Z
 predict5D,TX,yes,-0.162,38,https://planscore.org/plan.html?20260118T030509.566342901Z
 predict5D,UT,yes,-0.111,4,https://planscore.org/plan.html?20260117T234258.320182311Z
 predict5D,VA,,0.052,11,https://planscore.org/plan.html?20260117T234336.698952557Z
-predict5D,VT,,0.0,1,
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-predict5D,WI,,0.0,8,
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+predict5D,WA,,0.026,10,https://planscore.org/plan.html?20260118T042355.221844258Z
+predict5D,WI,,-0.178,8,https://planscore.org/plan.html?20260118T042432.738702756Z
+predict5D,WV,,-0.245,2,https://planscore.org/plan.html?20260118T042503.822916862Z
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+predict4D,AZ,,-0.01,9,https://planscore.org/plan.html?20260118T040225.381282788Z
 predict4D,CA,yes,0.136,52,https://planscore.org/plan.html?20260118T030252.618859988Z
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+predict4D,FL,,-0.115,28,https://planscore.org/plan.html?20260118T040454.505966284Z
+predict4D,GA,,-0.164,14,https://planscore.org/plan.html?20260118T040602.373170229Z
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+predict4D,IA,,-0.03,4,https://planscore.org/plan.html?20260118T040717.798332084Z
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 predict4D,MS,yes,-0.07,4,https://planscore.org/plan.html?20260118T030754.409657846Z
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 predict4D,NC,yes,-0.194,14,https://planscore.org/plan.html?20260117T234221.969053780Z
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 predict4D,OH,yes,-0.116,15,https://planscore.org/plan.html?20260118T030709.606806539Z
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+predict4D,PA,,-0.021,17,https://planscore.org/plan.html?20260118T042003.125207192Z
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+predict4D,TN,,-0.133,9,https://planscore.org/plan.html?20260118T042237.433787301Z
 predict4D,TX,yes,-0.163,38,https://planscore.org/plan.html?20260118T030459.372275955Z
 predict4D,UT,yes,-0.091,4,https://planscore.org/plan.html?20260117T234258.272329018Z
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+predict4D,WI,,-0.198,8,https://planscore.org/plan.html?20260118T042427.516281228Z
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+predict3D,AZ,,-0.024,9,https://planscore.org/plan.html?20260118T040225.113605515Z
 predict3D,CA,yes,0.141,52,https://planscore.org/plan.html?20260118T030252.629929107Z
-predict3D,CO,,0.0,8,
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+predict3D,FL,,-0.109,28,https://planscore.org/plan.html?20260118T040454.049810669Z
+predict3D,GA,,-0.149,14,https://planscore.org/plan.html?20260118T040600.468387090Z
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+predict3D,IA,,-0.108,4,https://planscore.org/plan.html?20260118T040715.412958829Z
+predict3D,ID,,-0.207,2,https://planscore.org/plan.html?20260118T040751.835810031Z
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-predict3D,IN,,0.0,9,
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+predict3D,MI,,-0.017,13,https://planscore.org/plan.html?20260118T041229.115721355Z
+predict3D,MN,,-0.077,8,https://planscore.org/plan.html?20260118T041308.446899008Z
 predict3D,MO,yes,-0.189,8,https://planscore.org/plan.html?20260118T030615.773859372Z
 predict3D,MS,yes,-0.05,4,https://planscore.org/plan.html?20260118T030753.930697431Z
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+predict3D,MT,,-0.259,2,https://planscore.org/plan.html?20260118T041341.755724399Z
 predict3D,NC,yes,-0.216,14,https://planscore.org/plan.html?20260117T234221.796939814Z
-predict3D,ND,,0.0,1,
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+predict3D,NJ,,0.124,12,https://planscore.org/plan.html?20260118T041555.910344677Z
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 predict3D,OH,yes,-0.13,15,https://planscore.org/plan.html?20260118T030704.350502137Z
-predict3D,OK,,0.0,5,
-predict3D,OR,,0.0,6,
-predict3D,PA,,0.0,17,
-predict3D,RI,,0.0,2,
-predict3D,SC,,0.0,7,
-predict3D,SD,,0.0,1,
-predict3D,TN,,0.0,9,
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+predict3D,OR,,0.133,6,https://planscore.org/plan.html?20260118T041912.004528564Z
+predict3D,PA,,-0.029,17,https://planscore.org/plan.html?20260118T042003.436254207Z
+predict3D,RI,,0.254,2,https://planscore.org/plan.html?20260118T042052.519846549Z
+predict3D,SC,,-0.2,7,https://planscore.org/plan.html?20260118T042123.825542317Z
+predict3D,SD,,-0.229,1,https://planscore.org/plan.html?20260118T042202.915857423Z
+predict3D,TN,,-0.116,9,https://planscore.org/plan.html?20260118T042237.272611333Z
 predict3D,TX,yes,-0.159,38,https://planscore.org/plan.html?20260118T030458.068499828Z
 predict3D,UT,yes,-0.071,4,https://planscore.org/plan.html?20260117T234258.031041000Z
 predict3D,VA,,0.031,11,https://planscore.org/plan.html?20260117T234336.515941951Z
-predict3D,VT,,0.0,1,
-predict3D,WA,,0.0,10,
-predict3D,WI,,0.0,8,
-predict3D,WV,,0.0,2,
-predict3D,WY,,0.0,1,
-predict2D,AK,,0.0,1,
-predict2D,AL,,0.0,7,
-predict2D,AR,,0.0,4,
-predict2D,AZ,,0.0,9,
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+predict3D,WA,,0.04,10,https://planscore.org/plan.html?20260118T042355.270599476Z
+predict3D,WI,,-0.208,8,https://planscore.org/plan.html?20260118T042427.884383469Z
+predict3D,WV,,-0.203,2,https://planscore.org/plan.html?20260118T042501.802244986Z
+predict3D,WY,,-0.073,1,https://planscore.org/plan.html?20260118T042532.986120941Z
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+predict2D,AZ,,-0.036,9,https://planscore.org/plan.html?20260118T040217.822904851Z
 predict2D,CA,yes,0.144,52,https://planscore.org/plan.html?20260118T030252.922766740Z
-predict2D,CO,,0.0,8,
-predict2D,CT,,0.0,5,
-predict2D,DE,,0.0,1,
-predict2D,FL,,0.0,28,
-predict2D,GA,,0.0,14,
-predict2D,HI,,0.0,2,
-predict2D,IA,,0.0,4,
-predict2D,ID,,0.0,2,
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+predict2D,DE,,0.258,1,https://planscore.org/plan.html?20260118T040404.342600731Z
+predict2D,FL,,-0.1,28,https://planscore.org/plan.html?20260118T040447.148905035Z
+predict2D,GA,,-0.132,14,https://planscore.org/plan.html?20260118T040546.662565733Z
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+predict2D,ID,,-0.189,2,https://planscore.org/plan.html?20260118T040745.880010696Z
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-predict2D,IN,,0.0,9,
-predict2D,KS,,0.0,4,
-predict2D,KY,,0.0,6,
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-predict2D,MD,,0.0,8,
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+predict2D,MI,,-0.025,13,https://planscore.org/plan.html?20260118T041229.716615088Z
+predict2D,MN,,-0.069,8,https://planscore.org/plan.html?20260118T041307.155712116Z
 predict2D,MO,yes,-0.185,8,https://planscore.org/plan.html?20260118T030613.202395703Z
 predict2D,MS,yes,-0.031,4,https://planscore.org/plan.html?20260118T030753.491983875Z
-predict2D,MT,,0.0,2,
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 predict2D,NC,yes,-0.23,14,https://planscore.org/plan.html?20260117T234221.568537282Z
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-predict2D,NE,,0.0,3,
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-predict2D,NJ,,0.0,12,
-predict2D,NM,,0.0,3,
-predict2D,NV,,0.0,4,
-predict2D,NY,,0.0,26,
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+predict2D,NE,,-0.019,3,https://planscore.org/plan.html?20260118T041445.972654421Z
+predict2D,NH,,0.333,2,https://planscore.org/plan.html?20260118T041521.608157476Z
+predict2D,NJ,,0.129,12,https://planscore.org/plan.html?20260118T041555.756829865Z
+predict2D,NM,,0.303,3,https://planscore.org/plan.html?20260118T041630.707821741Z
+predict2D,NV,,0.152,4,https://planscore.org/plan.html?20260118T041704.677003327Z
+predict2D,NY,,0.053,26,https://planscore.org/plan.html?20260118T041746.613657205Z
 predict2D,OH,yes,-0.141,15,https://planscore.org/plan.html?20260118T030704.788946696Z
-predict2D,OK,,0.0,5,
-predict2D,OR,,0.0,6,
-predict2D,PA,,0.0,17,
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-predict2D,SC,,0.0,7,
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-predict2D,TN,,0.0,9,
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+predict2D,OR,,0.147,6,https://planscore.org/plan.html?20260118T041912.680487037Z
+predict2D,PA,,-0.036,17,https://planscore.org/plan.html?20260118T041954.395378243Z
+predict2D,RI,,0.274,2,https://planscore.org/plan.html?20260118T042044.083353919Z
+predict2D,SC,,-0.189,7,https://planscore.org/plan.html?20260118T042122.822954893Z
+predict2D,SD,,-0.209,1,https://planscore.org/plan.html?20260118T042159.656143931Z
+predict2D,TN,,-0.098,9,https://planscore.org/plan.html?20260118T042236.995437052Z
 predict2D,TX,yes,-0.153,38,https://planscore.org/plan.html?20260118T030431.293353925Z
 predict2D,UT,yes,-0.052,4,https://planscore.org/plan.html?20260117T234258.723719788Z
 predict2D,VA,,0.022,11,https://planscore.org/plan.html?20260117T234336.770882824Z
-predict2D,VT,,0.0,1,
-predict2D,WA,,0.0,10,
-predict2D,WI,,0.0,8,
-predict2D,WV,,0.0,2,
-predict2D,WY,,0.0,1,
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-predict1D,AL,,0.0,7,
-predict1D,AR,,0.0,4,
-predict1D,AZ,,0.0,9,
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+predict2D,WA,,0.045,10,https://planscore.org/plan.html?20260118T042354.933387956Z
+predict2D,WI,,-0.209,8,https://planscore.org/plan.html?20260118T042424.663349626Z
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+predict1D,AZ,,-0.047,9,https://planscore.org/plan.html?20260118T040217.375489829Z
 predict1D,CA,yes,0.144,52,https://planscore.org/plan.html?20260118T030252.196522373Z
-predict1D,CO,,0.0,8,
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-predict1D,FL,,0.0,28,
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+predict1D,GA,,-0.114,14,https://planscore.org/plan.html?20260118T040545.436078321Z
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+predict1D,ID,,-0.168,2,https://planscore.org/plan.html?20260118T040745.103160678Z
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+predict1D,MN,,-0.057,8,https://planscore.org/plan.html?20260118T041307.121644700Z
 predict1D,MO,yes,-0.174,8,https://planscore.org/plan.html?20260118T030613.658819192Z
 predict1D,MS,yes,-0.012,4,https://planscore.org/plan.html?20260118T030753.385083278Z
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+predict1D,MT,,-0.276,2,https://planscore.org/plan.html?20260118T041341.010571046Z
 predict1D,NC,yes,-0.233,14,https://planscore.org/plan.html?20260117T234221.056068356Z
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+predict1D,NE,,-0.042,3,https://planscore.org/plan.html?20260118T041444.393005493Z
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+predict1D,NJ,,0.136,12,https://planscore.org/plan.html?20260118T041555.105922623Z
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 predict1D,OH,yes,-0.148,15,https://planscore.org/plan.html?20260118T030703.469110947Z
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+predict1D,PA,,-0.039,17,https://planscore.org/plan.html?20260118T041953.478320180Z
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+predict1D,TN,,-0.08,9,https://planscore.org/plan.html?20260118T042235.566474186Z
 predict1D,TX,yes,-0.144,38,https://planscore.org/plan.html?20260118T030431.400900689Z
 predict1D,UT,yes,-0.035,4,https://planscore.org/plan.html?20260117T234258.229422821Z
 predict1D,VA,,0.011,11,https://planscore.org/plan.html?20260117T234336.509215875Z
-predict1D,VT,,0.0,1,
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+predict0,AZ,,-0.051,9,https://planscore.org/plan.html?20260118T040216.173185977Z
 predict0,CA,yes,0.136,52,https://planscore.org/plan.html?20260118T033406.367827092Z
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 predict0,MO,yes,-0.161,8,https://planscore.org/plan.html?20260118T033412.268848738Z
 predict0,MS,yes,0.007,4,https://planscore.org/plan.html?20260118T033429.149694731Z
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 predict0,NC,yes,-0.227,14,https://planscore.org/plan.html?20260118T033421.754867062Z
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 predict12R,VA,,0.039,11,https://planscore.org/plan.html?20260117T234311.522115761Z
-predict12R,VT,,0.0,1,
-predict12R,WA,,0.0,10,
-predict12R,WI,,0.0,8,
-predict12R,WV,,0.0,2,
-predict12R,WY,,0.0,1,
+predict12R,VT,,0.329,1,https://planscore.org/plan.html?20260118T042304.427024200Z
+predict12R,WA,,-0.088,10,https://planscore.org/plan.html?20260118T042330.111687049Z
+predict12R,WI,,0.032,8,https://planscore.org/plan.html?20260118T042408.474780834Z
+predict12R,WV,,0.069,2,https://planscore.org/plan.html?20260118T042440.718997303Z
+predict12R,WY,,0.163,1,https://planscore.org/plan.html?20260118T042514.557677505Z
diff --git a/update-ushouse-vote-swings.py b/update-ushouse-vote-swings.py
index 1626ebe0..75fe3523 100755
--- a/update-ushouse-vote-swings.py
+++ b/update-ushouse-vote-swings.py
@@ -693,11 +693,7 @@ def build_state_swings(service, states: dict, district_swings: dict, api_key: st
     clone_tasks = []
     state_rows = []
 
-    # TEMPORARY: Hardcode Illinois, Virginia, and redrawn states
-    # TODO: expand to sorted(states.keys()) in later stages
-    state_abbrevs = ["IL", "VA", "CA", "TX", "MO", "OH", "NC", "UT", "MS"]
-
-    for abbrev in state_abbrevs:
+    for abbrev in sorted(states.keys()):
         state_data = states[abbrev]
         plan_url = state_data.get('PlanScore URL', '').strip()
 

From f2393b6b96ccf5fd7d53ac47e92bc7100398bf51 Mon Sep 17 00:00:00 2001
From: Michal Migurski <mike@teczno.com>
Date: Sun, 18 Jan 2026 21:56:53 -0800
Subject: [PATCH 22/22] Moved vote swing caption below

---
 index.scss     |  4 +---
 index.src.html | 10 +++++-----
 2 files changed, 6 insertions(+), 8 deletions(-)

diff --git a/index.scss b/index.scss
index c5324489..eeec760d 100644
--- a/index.scss
+++ b/index.scss
@@ -345,6 +345,7 @@ body.ushouse-selected {
       #yearpicker-predict-voteswing {
         text {
           font-size: 10px;
+          text-anchor: middle;
         }
         #yearpicker-predict-slider {
           fill: white;
@@ -356,9 +357,6 @@ body.ushouse-selected {
             fill: black;
             stroke: none;
           }
-          text {
-            text-anchor: middle;
-          }
         }
       }
     }
diff --git a/index.src.html b/index.src.html
index df806f20..4425c9f7 100644
--- a/index.src.html
+++ b/index.src.html
@@ -507,13 +507,13 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <circle cx="36" cy="36" r="4" />
             <text x="46" y="40">2026 Predictions</text>
             <g id="yearpicker-predict-voteswing">
-                <text x="56" y="55">Vote swing:</text>
-                <rect id="yearpicker-predict-slider" x="56" y="62" width="80" rx="5" height="12" />
+                <rect id="yearpicker-predict-slider" x="56" y="60" width="80" rx="5" height="12" />
                 <g id="yearpicker-predict-thumb" transform="translate(96, 0)">
-                    <rect class="hitarea" x="-16" y="58" width="32" height="30" />
-                    <circle cx="0" cy="68" r="5" />
-                    <text x="0" y="85">Even</text>
+                    <rect class="hitarea" x="-16" y="38" width="32" height="30" />
+                    <circle cx="0" cy="66" r="5" />
+                    <text x="0" y="55">Even</text>
                 </g>
+                <text x="96" y="85">Drag to swing vote</text>
             </g>
         </a>
       </svg>