Chat message

Slack / Private Message Drop, p.257 [SLACK_000471] · slack_pm:msg:02686

Date: 2020-11-14 07:06 (hour precision)
Type: chat message · slack
recipient: Robert F. Garry, Edward C. Holmes, Andrew Rambaut
speaker: Kristian G. Andersen

Recipients on this medium are inferred from channel membership, not per-message addressing.

Haha, oh boy - I said you accept it, just so we can drown out all the other news. But seriously - how the heck can you write a full paper before stopping for a second and thinking "wait, does that really make sense?*. Amateur 'science' has been a dangerous thing during COVID-19- I believe Ed has an article coming up about that...

In context

A single line often inverts meaning once you see what it answers, so neighbouring messages are always shown.

2020-11-14 07:06 Robert F. Garry open

And- full disclosure -daughter fj is a graduate of the Elliott School at Georgetown. She's a and led this uy around Eddie's adopted country for the cancer moonshot 5 years back. is in now, but going to to meet in a few days and hopefully keep him from screwing up. It's fair to say that without "deep staters" like the soon to be over Trump Administration could have been worse [trust me on this MUCH worse] COVID notwithstanding. [shared file(s): image.png]
2020-11-14 07:06 Kristian G. Andersen open

Yeah, how Curefinder can be a fellow where somebody like Beth (and Rebecca) are also fellows, I don't understand. Takes a Bush school I guess... Both Beth and Rebecca are part of the task force - Beth as an advisor (which I thinkis good).
2020-11-14 07:06 Robert F. Garry open

Indeed - but I did notice that that Covidfaker [along with enabler Hotez also of MSNBC 'fame"] was relegated to emeritus fellow. I have a feeling that the demotion was not a coincidence after it was revealed that Fair's latest inaseries of near death experiences was not what he said it was - aka - Fake News.
2020-11-14 07:06 Andrew Rambaut open

Just reviewed a paper for Nature from the Harvard School of Public Health which does a sort of machine-learny thing to find mutations that cause deadness using GISAID data. They discover 2 mutation with significance. Turns out both are in a clade from Nuno's Science paper and when you look at the data in GISAID there are 131/159 dead people in the clade. 82% fatality rate. Those are some deadly mutations. Or the Sao Paolo was only sequencing severe cases. They even report the 82% dead in the paper. And don't stop to think.
2020-11-14 07:06 Kristian G. Andersen

Haha, oh boy - I said you accept it, just so we can drown out all the other news. But seriously - how the heck can you write a full paper before stopping for a second and thinking "wait, does that really make sense?*. Amateur 'science' has been a dangerous thing during COVID-19- I believe Ed has an article coming up about that...
2020-11-14 07:06 Andrew Rambaut open

Just discovered it is preprinted. Enjoy: https://www.researchsquare.com/article/rs-95183/v1

Full conversation →