We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Michael Weissman
I am this person!
Delegate
Choose a list of delegates
to vote as the majority of them.
Unless you vote directly.
Condensed-matter physicist, emeritus professor at the University of Illinois, who argues proximity ascertainment bias undermines the Huanan clustering inference.
I am this person!
Location: United States
covid-19-origins (3)
flf-epistack (3)
health (3)
public-health (3)
research-policy (3)
disinformation (2)
world (2)
Top
New
-
The clustering of early cases around the Huanan market reflects where the COVID-19 virus emerged, not just where testing looked
273 opinions
Michael Weissman
votes Against
and says:
I showed that the latter theory at least gave the correct sign of the difference between the median distances from HSM to unlinked vs. to linked cases, while the Worobey model gave the wrong sign.
AI Verified source (Feb 3, 2025) 1 of 6
added 20d ago
-
Michael Weissman
votes For
and says:
What is most striking about Levin's results is that the unlinked case home address location-time pairs point rather strongly away from the HSM story unlike the common lore that they point extremely strongly toward the HSM story.
AI Verified source (Feb 3, 2025)
added 20d ago
-
Michael Weissman
votes For
and says:
We’ve seen that calculating Bayesian odds involves both picking priors and calculating likelihood ratios.
AI Verified source (Aug 31, 2023)
added 19d ago