Since I’m in the US, we can assume that 0.26% of people are Emily and that reviewers are a representative sample of the population matching this statistic. To figure out how likely it is that Emily has reviewed my nomination, I need to know how many people reviewed it, which Niantic does not disclose.

If we make some assumptions about how many reviews are required for resolution, we can calculate the probability that a nomination was reviewed by Emily. The formula is quite simple: 1-0.9974^n

So, if my nomination requires 100 reviews to resolve, then there’s a 22.921% chance that Emily reviewed it. If only 25 reviews are needed, then it drops to a 6.301% chance.

If, instead of being reviewed by the community, my nomination is reviewed by Niantic’s Machine Learning AI model, that number drops precipitously to 0%.

Time spent in queue doesn’t affect how many reviews the nomination will receive, so the math remains the same.

Upgrades only broaden the reviewer pool to the rest of the country and don’t change the number of reviews required, so the percentage of Emily remains the same as does the calculation for the chance that Emily reviews my nomination.

It doesn’t matter if they’re siblings or not, humanity is still doomed.

Maybe it hastens the timeline by a couple seconds, but a bit more inbreeding isn’t going to significantly impact things.

This is simple single-variable algebra. No calculus classes required.

The only real assumption is around possible values for a variable, everything else is factual.

Emily is many people, each with their own physical corporeal form.

Please stop trying to derail my topic. It’s about Emily, not about Machine Learning.