⚔️SEVEN⚔️

Speaking as a computer scientist... Note also that the numbers you referenced aren't all just 64-35, they're all 64.6 + or - 0.2, and 35.4 + or - 0.2. That's even more unlikely. This is what happens when you don't pay attention in math class. Likely some corrupt programmer put in a random factor that he thought would alter the numbers, without making it look like it altered the numbers. Like (brain-dead example) "If this ballot was for the opponent, and the random number generator is greater than 0.6, then change it.". But he didn't bother to do the math, or he would have realized that if you use whatever that random element is, over enough cases, then the result converges on 64.6 and 35.4. At least if I was going to vet the program that did this, then that's what I'd most expect to find. This is a typical undergrad mistake. Just because your algorithm has a randomizing element, that doesn't mean that the result isn't going to converge, over a large enough number of trials. Also note that this kind of manipulation almost always leaves a footprint in the data. Statisticians who specialize in analyzing voting results know what properties honest results should have. Unless the corrupt programmer really knew what he was doing, they'll spot the strange results, and the nature of the strangeness will give them a strong clue as to what the programmer did.

THE 15% BAND Look at this chart. 59 races. Senate and governor. States ordered from reddest to bluest in 2024. The solid lines are 2024. The dashed lines are 2026. The shaded bands are what moved. One formula fits all of it: Republican 2026 = 0.85 × Trump 2024 Democrat 2026 = Harris 2024 + 0.15 × Trump 2024 For every 1,000 Trump points, 850 stayed Republican. 150 landed on the Democratic side. The numbers: Senate: Republicans kept ~85% of Trump’s share Governor: ~86% Variation explained: 88% What makes it strange: It didn’t matter how red the state was. Wyoming, Ohio, Illinois, Massachusetts: same 15% (p = 0.69). The Democratic gain was sized by Trump’s vote, not Harris’s. The Harris part is zero. The 0.85 beat both standard election-swing models in every set of races. Drop any single state and the multiplier stays between 0.846 and 0.853. Why seats flipped: At 0.85, any state where Trump got under about 58.5% falls below 50%. Texas, Kansas, Iowa, Ohio, South Carolina, North Carolina: all under that line. All flipped. What this means: Midterms are messy. This one isn’t. Two sets of races, different candidates, different campaigns, and the same 15% decrease almost everywhere. A pattern this even demands answers at the ballot level: paper ballot hand counts, poll-book check-ins against votes counted, and voter files showing who actually turned out. The numbers raise the question. The ballots can answer it.