Elon Wants to Fight the Bots
bloomberg.com
bloomberg.com
"In a May 6 meeting with Twitter executives, Musk was flabbergasted to learn just how meager Twitter’s process was. Human reviewers randomly sampled 100 accounts per day (less than 0.00005% of daily users) and applied unidentified standards to somehow conclude every quarter for nearly three years that fewer than 5% of Twitter users were false or spam. That’s it. No automation, no AI, no machine learning."
Regardless, seems like Musk will have a hard time reaching a material adverse standard.
A reasonable effort at what?
> Could Twitter estimate its revenue in an SEC filing by sampling 100 paid invoices and putting in CYA statement saying the estimate could be wrong?
It could. It might be a problem between Twitter and the SEC. It might be a problem that due diligence would founder on. It might be a problem that would constitute an materially adverse effect without an explicit contractually agreement that risks disclosed in SEC filings could not do that. These are among the reasons why no sane buyer would sign a merger agreement like Musk signed waiving due diligence and excluding a whole of of specific things from being considered materially adverse events without having done a thorough investigation on their own first.
Granted, it's been a while since I've done stats, so I wouldn't be surprised if this were an inaccurate application, but if it's accurate 100 samples a day doesn't sound that crazy.
[0]: https://www.socscistatistics.com/confidenceinterval/default3...
This one's new for me.