you can see the authors, kulldorf, gupta, bhattacharya's names and know this this was written by medical professors at harvard, stanford, and oxford.
there's no slant, not editorializing, it's primary source info.
OMG \U0001f62f
— Ivor Cummins (@FatEmperor) October 10, 2020
- reddit has censored discussion of The Great Barrington Declaration
- and Google has removed it from their search engine results (can only see articles about it now, as they cannot censor those
1984 is here?
Sign up here: https://t.co/lBaMxnQD1xhttps://t.co/1decFrnoCs
When social media lies: @Facebook is throwing up a "fact check", saying that these COVID-19 survival rates are "false information":@Lyle_Genyk @FatEmperor @AlexBerenson pic.twitter.com/V6rVmqwFhc
— Tucker Goodrich (@TuckerGoodrich) October 9, 2020
from the "make orwell fiction again" files:
— el gato malo (@boriquagato) October 10, 2020
google has memory holed the great barrington declaration
not only have they wiped it from the top results, they have salted it with false claims about "climate denial"
it's pure, simple propaganda
here's bing (who plays it straight) pic.twitter.com/kTdhH8zXia
A systematic review published 12/3/20 by the Oxford U Ctr for Evidence-Based Med has confirmed that C19 rtPCR testing patient sample cycle thresholds (Cts) >30 (mean from 6-studies) are associated with NEGATIVE viral cultures, i.e., are non-infectious https://t.co/t79dSHnHgn
— Andrew Bostom (@andrewbostom) December 6, 2020
It took a Freedom of Information request but @Covid19DataUK acquired 2017-2019 averages for England hospitalizations.
— Yinon Weiss (@yinonw) December 31, 2020
2020 had 18% fewer hospitalizations than prior years.
All around the world, using hospital data without context of prior years is just a fear generating lie. pic.twitter.com/DJDpqhIQuw
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
I'm increasingly interested in the idea of "personal moats" in the context of careers.
— Erik Torenberg (@eriktorenberg) November 22, 2018
Moats should be:
- Hard to learn and hard to do (but perhaps easier for you)
- Skills that are rare and valuable
- Legible
- Compounding over time
- Unique to your own talents & interests https://t.co/bB3k1YcH5b
People talk about \u201cpassive income\u201d a lot but not about \u201cpassive social capital\u201d or \u201cpassive networking\u201d or \u201cpassive knowledge gaining\u201d but that\u2019s what you can architect if you have a thing and it grows over time without intensive constant effort to sustain it
— Andrew Chen (@andrewchen) November 22, 2018
Things that look like moats but likely aren\u2019t or may fade:
— Erik Torenberg (@eriktorenberg) November 22, 2018
- Proprietary networks
- Being something other than one of the best at any tournament style-game
- Many "awards"
- Twitter followers or general reach without "respect"
- Anything that depends on information asymmetry https://t.co/abjxesVIh9