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It did not. maxwellhill's last post was June 30, 2020. Maxwell was arrested July 2, 2020. I would wonder if claims of harassment preceding maxwellhill's disappearance were propagated from the mods who claimed they were still active in modmail when, obviously, they weren't.
"Coincidence" has no explanatory power. "Reddit-type" is just wrong. If the account were made in 2014 it might, the account was made in 2006. This indicates a different category of person. It indicates someone very savvy in tech, which Maxwell is. The probability also isn't low. Bayes favors Ghislaine. The name is one bit of information, her lapses in activity is two, or four. It's true these examples could be cherry-picked, but the question isn't only how much the stopping coinciding with her arrest increases her probability, but how much it decreases the probability of it being someone else.
For Ghislaine herself, assuming the number of all users on reddit in 2020, which best I can tell was 600 million, the probability difference ranges from being >5 million times more likely to >150 million times more likely. The lack of probability for the others says enough. But we're not looking at everybody, we're looking at a specific subset of all people who stopped using reddit. For the definition of the power-user, the most probable explanation is an involuntary stop. That means death or incarceration. If it's incarceration, it's Ghislaine. If it's death, then we consider the probable causes for death for a user who posted every single day then abruptly and completely stopped. That's an instant death. Heart attack, blood clot, accident, manslaughter, homicide, suicide. That would narrow it to deaths on June 30 and July 1, but let's say we expand it out to a week, just because. That's 5500 people.
The probability of one person in a selection of 5500 deaths being skilled enough to be a Top 10 redditor is zero. We can round way up and say it's exactly one person. Ghislaine, or Rando, and with two options, their probability sums to 1. What's the probability Rando would be savvy enough to register an account in 2006? Probably high, given their acumen. What's the probability vs Ghislaine they would name themselves "maxwellhill?" Let's say indeterminate. What's the probability they would show similar interests? Again, probably high. What's the probability they would also have prior lapses in activity that could be tied to specific outings? Very low.
It's not 50/50, but even if it were, it's Ghislaine. It's 90/10 her favor. We rounded up so realistically it's 99/1. Super-realistically it's 100/0, which I know you can't actually say under Bayes. Fortunately in this little area of reality, we can say. It was her.
Ahahahahahahahahahaha.
Bayes doesn't work if you don't accurately evaluate the evidence.
Would mark as "bad."
Everything following "The probability of one person in a selection of 5500 deaths being skilled enough to be a Top 10 redditor is zero" is charity extended to my interlocutor. With sub-1% chance of death and sub-1% chance of a voluntary stop, the probability of it being Ghislaine Maxwell is already over 90%.What's the probability alone of someone incorporating a bit of personal information into their reddit username? 5%? How's it change when our options for maxwellhill are Ghislaine Maxwell and person who probably doesn't exist?
This is not how evaluating coincidences should work.
https://www.econlib.org/just-a-coincidence
What are the chances that out of 8 billion plus people in the world, it's you and me right now debating this? Astronomical really.
Someone with a massive public profile doing shady shit would have -10000% probability to put their last name as their Reddit handle where they were a power user and top mod.
It's far more plausible it's just a coincidence, unless there is strong evidence to even consider this hypothesis at all. (There isn't, which is why your merely privileging the hypothesis.)
See also: https://coagulopath.com/ghislaine-maxwell-does-not-have-a-secret-reddit-account/
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