We looked inside some of the tweets by @marc_rr and here's what we found interesting.
Inside 100 Tweets
@rmounce If something like this showed up in bioRxiv (I’d hope it wouldn’t but like everyone we have a non-zero fail rate), then it would be highlighted as a danger of preprints. But actually what it shows is that all screens/filters will occasionally fail 2/3
This explains everything. https://t.co/9MRxlAMxGT
#GlobalChange is the most pressing challenge to ecosystems & economies. We ask @EU_Commission @vonderleyen to cont investing in #science & fund #EuropeanReferenceGenomeAtlas projects to study the book of life in the #EU. Join us! #ERGA https://t.co/vUnFj33mge @EU_FP9 @EBPgenome https://t.co/qpKqwMhXt7
The media made headlines for every little problem, but ignored the preprint showing it works. And let erroneous concerns be quoted without correction (might remind me of other scientific topics 😕). Might be part of low-ish adoption rate. @marcelsalathe
Personal take-away of @marcelsalathe : "decentralized (public) health is the future". Covid19 changed his views on the importance of collecting data.
@marcelsalathe (Side note from me, not Salathe: who could have foreseen this use of smart phones? Putting this here for people who are sure we don't need some new technology.)
We go back 2 days of contacts for contact tracing, @marcelsalathe would favour 3 days on scientific grounds.