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#9 Public health is about trust. To gain the trust of the public, public health officials and the media must be honest and trust the public. Shaming and fear should never be used in a pandemic. https://thehill.com/opinion/healthcare/528612-facts-not-fear-will-stop-the-pandemic … @camakridis
#10 Public health scientists and officials must be honest with what is not known. For example, epidemic models should be run with the whole range of plausible input parameters.https://www.statnews.com/2020/03/17/a-fiasco-in-the-making-as-the-coronavirus-pandemic-takes-hold-we-are-making-decisions-without-reliable-data/ …
#11 In public health, open civilized debate is profoundly critical. Censoring, silencing and smearing leads to fear of speaking, herd thinking and distrust.
https://www.scientificamerican.com/article/the-covid-science-wars1/ … @JeanneLenzer1
#12 It is important for public health scientists and officials to listen to the public, who are living the public health consequences. This pandemic has proved that many non-epidemiologists understand public health better than some epidemiologists. / END https://twitter.com/robinmonotti/status/1321785323676991489 …
Yet they chose to insist the pause worked.
People deserve honesty. pic.twitter.com/JvDRTSHp1QGovernment "scientists" never admit they don't know something and they never admit they were wrong they just double down and blame us for any failures
now now, give em 50 or 100 years and they may notice that some wanton slaughter of a bunch of civs somewhere was a teeny bit unfortunate
Hello, please find the unroll here: @MartinKulldorff: Twelve Forgotten Principles of Public Health #1 Public health is about all health outcomes, not just… https://threadreaderapp.com/thread/1340352565481975812.html … Enjoy :) 
No. If Neil Ferguson & the Imperial College receive their funding from Bill Gates, don't they have an ethical (& fiduciary) responsibility to focus on the input parameters that Gates would like to see emphasized?
You mean less people on his planet?
while models may be useful tools, I'd also suggest that if at all possible a general cultural value of *not* screaming publicly about outputs would be useful. Else more guaranteed to over-emphasize extreme outputs, confusing modelers themselves and destroying public trust
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