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Many are eager to comment on each new cancel (attempt) episode. But it would be more useful to collect a systematic dataset of such episodes. Including collecting many independent ratings of subjective but key elements, such as how fair, accurate, or standard was the accusation.
This would also be useful as a way of showing how the goalposts move over time.
That is certainly a plausible hypothesis that could be tested with sufficient data.
This is the correct reply to most of the tweets on Twitter. (Including this one.)
And to make sure unfairly attacked people are rewarded with grants, job offers, book deals, etc
And to make sure fairly attacked people are shunned with social consequences.
There is a database of disinvitations here (I don't know how reliable it is).https://www.thefire.org/research/disinvitation-database/ …
That is of course just one potential source to help make the dataset I suggest, but is not itself such a dataset.
I speculate you might also find that cancellation disproportionately impacts falling stars, people that were already on the downslope of relevance.
Though if the independent fairness ratings are collected cumulatively over, say, a timespan of years, we might expect the goalpost movement to also be reflected in mean fairness ratings (for any given incident) drifting over time?
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