MIT Study: Crowds can wise up to fake news
news.mit.edu
news.mit.edu
https://www.logically.ai/factchecks/library/15703323
First, the article uses Case Fatality Rate as a measure of Infection Fatality Rate:
>>As of June 2, 2021, the number of COVID-19 cases recorded globally stood at 171,965,446, with 154,479,061 recoveries and 3,576,887 deaths, which equates to a mortality rate of two percent
Number of cases recorded is not the same thing as estimated number of cases worldwide, which is what is used to provide an IFR estimate.
Second, the observation that risk factors are not uniform across the population does not contradict a claim about the population-wide infection fatality rate of covid. Stating a disease's total survival rate in no way implies that there aren't sub-groups at heightened or lessened risk.
Third, the claim that 'Defining the term "survival rate" is questionable because, at this point, there is no accurate way to measure the rate' is misleading, as the same applies to every infectious disease, yet we use best scientific estimates to inform policy decisions, and no one has ever claimed that publishing such data is misinformation.
On top of all of this, Facebook misapplied this fact-checking article to my post, which broke down the IFR by age group, and did not even claim the whole-population IFR was "99%".
After the fact-check article relabelled the claim from 'false' to 'misleading', Facebook did not change the label on my posts from 'false' to 'misleading', and does not provide a means for me to appeal its labelling.
All of this is totally unacceptable when a trillion dollar plus companies is purporting to 'fact-check' a post. Its process for fact-checking should not be this sloppy, where Facebook itself becomes a purveyor of misinformation.
It's one thing for some regular Joe Blow to post misinformation. It's another for the party with the full weight/authority of being the platform provider, and all of the credibility that comes with that, to post misinformation.