None of us are prepared to examine evidence ourselves & judge which experts are more reliable than others
Fortunately, there are formal & informal mechanisms which play this role
That’s the short cut
Such “short cuts” — which we can call science advisory mechanisms — generally (but importantly, not always) work well in contexts like climate & GMOs, but have for the most part failed miserably in the pandemic
Certainly @mattwridley spot on when arguing scientists typically have more success characterizing the past, present & near future vs the longer-term future or consequences of alternative courses of action
This is especially the case in novel contexts, doubly so when politicized
Science is messy, scientists humans & contexts of science are characterized by the same pathologies as any other human endeavor
That said, science coupled with an ability to makes sense of science in policy & politics offers the most promising route to better outcomes
/END
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I appreciate Prof Thompson's interest in my work, but he gets some things badly wrong, some thoughts
Prof Thompson certainly isn't the 1st academic to write about a colleague w/o reading their work or asking their views, hence
"He presumably thought..."
"His post was seen as..."
"Some critics question..."
How does this sort of uninformed speculation get published in a journal?
I hear this a lot:
"Witnessing professionals would do better to emphasize instead the long-term harms rather than getting involved in controversies about the causes of particular weather disasters."
IOW: "Your good science makes my political advocacy more difficult. Shut up."
Projecting Confidence: How the Probabilistic Horse Race Confuses and Demobilizes the Public | The Journal of Politics: Vol 82, No 4 journals.uchicago.edu/doi/abs/10.108…
I discussed the pathological potential of horse race election predictions a little ways back
Included in the shortfall was $25m for a "COVID-ready campus"
To mitigate shortfall we had salary reductions of $14m
So CUB staff paid for the "Covid-ready campus" out of our salaries
Not that it failed, do we get our money back?
Had CUB simply started off online on Aug 24 rather than going online Sept 21 no campus employee would have needed to take a salary cut & campus would still have had an extra $11m as a buffer against enrollment declines
It is not a comfortable subject, but these are the facts
These are not observational studies
These are studies of situations that the research institution has created
They are human subject experiments
B10 clearly sees football players as lab rats
“... an opportunity in a global pandemic to be able to help solve some of these medical issues, especially from a cardiac-registry standpoint & be leaders from a research standpoint, that was really important"