or let's say there's a batch of 100k votes and it's split 90k Biden votes and 10k Trump votes (in Democrat leaning precincts). In any random sample there should

or let's say there's a batch of 100k votes and it's split 90k Biden votes and 10k Trump votes (in Democrat leaning precincts). In any random sample there should be a 9:1 ratio meaning that out of 100 randomly selected votes ~90 will be for Biden and ~10 will be for Trump. The larger the sample the more likely the actual count is closer to the 9:1 ratio. Any deviation from that ratio will be made up as the count goes on. So in the most extreme case, if 90k in a row were all Biden and there was a 90k spike, the next 10k should spike for Trump. That never happened because after the 4am Biden spike, the count went back to "normal" ratios. To use the casino analogy imagine if you're at the roulette table and it comes up red 100,000 times in a row without black or green ever being called. That is statistically improbable.