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    <loc>https://www.volsweep.com/blog</loc>
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    <lastmod>2023-09-19</lastmod>
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  <url>
    <loc>https://www.volsweep.com/blog/tx-voter-clusters</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2021-07-23</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625601202020-ELYA9SXR8AAXE3WEG7CV/VolSweep_2020propheatmap.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 8c Proportion of each cluster voting in the 2020 general election per county for the top 30 most populous counties. Same as above; white corresponds to half so anything green is &gt; 50% and anything purple is &lt; 50%.</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 13 The proportion of each cluster per congressional district (columns sum to 1, see colorbar). White represents 0.125 (1/8, or equal proportion for all clusters). The x-axis is sorted left to right by decreasing CD total population within each CD cluster type.</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 2 Log of cluster population in each county. White corresponds to the per county frequency of a theoretical cluster having 1/8 share of statewide registered voters and uniform distribution across all counties.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625460375354-DQHXURWSNHMRM1FTT6HE/VolSweep_CDPCAstate.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 12 Map of 116th Congress boundaries, colored by district types from Figure 11.</image:caption>
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      <image:title>Blog - Texas voter clusters</image:title>
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      <image:title>Blog - Texas voter clusters</image:title>
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      <image:title>Blog - Texas voter clusters</image:title>
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      <image:title>Blog - Texas voter clusters</image:title>
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      <image:title>Blog - Texas voter clusters</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1626247058813-N6443LJK1ZV9GR28QQFL/VolSweep_2020donors.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 5 Axes are the same principal components as Figure 1 (the redder direction is toward Fox &amp; Friends and the bluer direction is toward Prog (W)OC). One dot per donor, colored by candidate recipient’s party.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625470572992-PQM9PEH8P5GRFR4TM4NQ/VolSweep_CDprops.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 9 Proportion of each congressional district belonging to each cluster. White corresponds to 0.125 (1/8, hypothetical uniform proportion of eight voter clusters).</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625171560912-QCX98AKV2WVUE1PADUCX/VolSweep_2020rawfreqheatmap.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 8a Frequency of each voter cluster per county for the top 30 most populous counties. Sorted left to right in order of decreasing total population.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625601355552-08PRMMBOI7BYCZ23UHJ0/VolSweep_2016to2020propchangeheatmap.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 8d Proportion change from 2016 to 2020 in voter cluster turnout per county. White corresponds to 1 which is no change in turnout frequency (could be different people but same number overall) and green[/purple] shows the multiple that turned out in 2020 compared to 2016. Purple is fractional turnout. For example, Reddish Independent had over 2.5x turnout in Collin County in 2020 compared to 2016. Webb County obviously has anomalous results for Picket Fence Betty Draper and Vanilla Libs, which may be due to a discrepancy between Texas Secretary of State data and L2 data.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625204156274-E5EEUSR9S7138ZIE9114/VolSweep_houstonmetroarea_densityplot.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 16 Houston metro area population density plots by voter cluster with 116th Congress boundaries. Check here for a map with current district numbering (that’s the article link, image itself is here).</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1627081420370-K849453HFQS9PRUIBAMA/VolSweep_CDprop2020.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 14 Same idea as Figure 8c except with CDs instead of counties. It shows the proportion of each voter cluster per CD that turned out to vote. White is set to 0.50 so anything green is above 50% turnout and anything purple is below 50% turnout.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625616977222-Y4D2XNMTJYNN1PA7WHA6/VolSweep_2020BidenTrump_tietest.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 22 Statistical test for higher vote share per county between major party presidential candidates.</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 1 Pairwise biplots for the three principal components explaining the most variance in the data set. The blue cluster is the most conservative overall and the grey cluster is the least conservative overall. Figure 18 in the appendix is the same plot colored by age instead of cluster membership.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625691402469-RK1UU8BD8UQA7BTIQCF1/VolSweep_propcounties.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 3 Proportion of each county made up of each cluster. The lower Río Grande Valley counties are mostly Sleeping “Giant,” whereas the upper Valley has some but is more Blueish Independent. Vanilla Libs and Prog (W)OC are also present in larger proportion along the upper Río Grande Valley than the remaining clusters.</image:caption>
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      <image:title>Blog - Texas voter clusters</image:title>
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      <image:title>Blog - Texas voter clusters</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625081356355-KAW8F5K6PKZZ1D0Q8S7B/VolSweep_agehistos.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 4 Age histograms per cluster for 2020 general election voteds (green) vs non-voteds (purple). Legend totals include out-of-state registered voters, whereas county- and congressional district-based plots in this post do not.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625601168839-XLTIOO4K4IXCEBTRT3SZ/VolSweep_2016propheatmap.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 8b Proportion of each voter cluster voting in the 2016 general election per county for the top 30 most populous counties. White corresponds to half so anything green is &gt; 50% and anything purple is &lt; 50%.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1626223797046-DXCQH2AS4RRPURHA3LXI/VolSweep_2020CDPCA.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 10 Pairwise biplots for the first three principal components of voter cluster proportion per congressional district features. The plotting symbol is the district number and color is the current seat holder’s party (except for CD06 which has a special election between two Republicans, so it’s red anyway).</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 23</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1625476090098-SGKPT17IQASYEKFZMUNP/VolSweep_CD2020twowayproptest.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 15 This plot shows the results of two-sample tests comparing proportions between voter cluster turnout proportion per CD and the same voter cluster turnout proportion but statewide. In other words, at the given significance level did a cluster have a higher (green) or lower (purple) turnout rate in a CD than it did statewide. Big picture takeaway is that races in CDs of type 1 drove above average turnout rates in almost every voter cluster; the exceptions were CD14 and CD17 which had very average turnout and CD27 which was anomalously low for CD type 1. CD types 4 and 5 in particular do not seem to draw turnout enthusiasm, probably because they are safe Republican and Democrat (refer to figures 10 &amp; 11), respectively, and people feel like their votes are wasted.</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 11 Again, one point per congressional district; size is proportionate to district population. Colored by k-means clustering results. The axes are the same principal components from Figure 10.</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 17 Houston city scatterplot by cluster colored by voter age with 116th Congress boundaries.</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 7 Comparison of L2’s turnout figures and Texas Secretary of State’s turnout figures for the 2020 general election.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1626282181380-OE7HF7ZGTU0FT93QHW2X/VolSweep_PCAvoterclustersage.png</image:loc>
      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 18 Same plot as Figure 1 but colored by voter age instead of cluster membership.</image:caption>
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      <image:title>Blog - Texas voter clusters - Make it stand out</image:title>
      <image:caption>Fig. 6 Scatterplot of percentage of each cluster donating to each candidate (dashed line is equal percentage donated to each candidate).</image:caption>
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  </url>
  <url>
    <loc>https://www.volsweep.com/blog/2022-house-preds</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-11-08</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/59bdba58-3cd5-4204-a7a7-739c79d6a4c5/VolSweep_2022_House_Top50.png</image:loc>
      <image:title>Blog - 2022 U.S. House of Representatives Elections Predictions - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/1667797596304-RM551Y8WB8DI4AY6KBDS/VolSweep_2022_House_Top50_Rfavoredodds.png</image:loc>
      <image:title>Blog - 2022 U.S. House of Representatives Elections Predictions</image:title>
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      <image:title>Blog - 2022 U.S. House of Representatives Elections Predictions</image:title>
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  <url>
    <loc>https://www.volsweep.com/blog/2023910/national-voter-clusters</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2023-09-20</lastmod>
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      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/d872ff6f-8970-40ab-bf19-b37bcb53872d/VolSweep_clusters_partisanheatmap.png</image:loc>
      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Fig. 2 Heat map showing the proportion of each national voter cluster belonging to each partisanship category.</image:caption>
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      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Fig. 3 This plot shows, by voter cluster, the proportion of each county in Georgia that belongs to the given voter cluster. White represents 1/21 = 0.048 which is the proportion each cluster would represent per county if the clusters were uniformly distributed; anything green is overrepresented from uniform distribution and anything purple is underrepresented from uniform distribution.</image:caption>
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      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Fig. 1 Pairwise biplots for the first three principal components in the issue scores clustering feature space. Less opaque patch colors in legend correspond to clusters that support capitalism less on average than the more opaque counterparts. Provided to show general cluster orientation in the clustering feature space.</image:caption>
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      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Fig. 4 Two age histograms per voter cluster; a green one for voters who turned out in the 2020 general election, and a purple one for those who did not turn out.</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/603c2d059959d83fcdc18817/6d50a6bd-9d04-4bd0-83f2-fc7bb1e73dc9/VolSweep_clusters_Neoliberalsummary.png</image:loc>
      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Blog - National Voter Clusters - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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