Two things can be true at once:
1. There is an issue with hostility some academics have faced on some issues
2. Another academic who himself uses threats of legal action to bully colleagues into silence is not a good faith champion of the free speech cause
How about Selina Todd, Kathleen Stock, Jo Phoenix, Rachel Ara, Sarah Honeychurch, Michele Moore, Nina Power, Joanna Williams, Jenny Murray, Julia Gasper ...
— Matt Goodwin (@GoodwinMJ) February 17, 2021
Or is it only Eric you pop at?
Are they all making it up too Rob?
Are they "beyond parody"? https://t.co/drQssTD0OL
https://t.co/fnUEFR6Niq
Have to say this does look very bad indeed - public attacks on a young academic not in a position to defend himself, with sweeping moralistic claims about his research (but no specifics). Social media witch hunts are not how academia is supposed to work: https://t.co/WCFpdn7HbP
— Rob Ford (@robfordmancs) December 7, 2018
https://t.co/9wQwoqnWDp
Things ain't simple. It's perfectly consistent to believe the following: 1) a government appointed free speech czar is a terrible idea & undesirable 2) many members of academia don't notice or feel any restriction on the free expression of their views 3) some members of academia
— Colin Mills (@OxSoc) February 18, 2021
More from Society
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.

above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.

clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl