![]() “These heat maps can be calibrated to make it look as red or as green as you want them to,” Reichman said, referring to the fact that map creators can make those "neighborhoods of influence" as small or large as they want. Jeff Reichman, a researcher at Houston-based data science consulting firm January Advisors, said the problem with trying to use a heat map to determine a statistical certainty is that heat maps are, by definition, imprecise. Such a map would be useful if one was trying to find concentrations of likely Republican voters for targeting block-walking efforts. Long's map originally was created to identify areas where Republican canvassing efforts would be fruitful. When those circles overlap, the color becomes darker indicating there is a greater density of people in that area.Ī screenshot of Long's Republican concentration heat map featured on a Dolcefino Consulting Youtube video. Heat maps take known points and draw circles called "neighborhoods of influence" around each. The illustration, minus the polling places overlay, is what is known as a "heat map." A heat map is a visualization technique used for pointing out concentrations of data points, such as people. “The math implies a greater than 99 percent probability that the ballot shortages were absolutely intentional.” "The data confirms that an exceedingly high correlation exists between the under-supplied polling locations and the historic home of Republican voters,” Long said during testimony at a House committee hearing on March 30. The map’s creator, John "Russ" Long, a presiding precinct judge in Cypress and a frequent Republican Party data consultant, said the map, together with a statistical analysis he ran, prove the paper shortages were part of an organized attempt by Harris County Elections officials to disenfranchise Republican voters. READ THE INVESTIGATION: GOP leaders say Harris County's ballot shortage was targeted at Republicans. Data science experts, however, say drawing such conclusions from that map is inappropriate.
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