Gibraan Rahman
gibsramen.bsky.social
Gibraan Rahman
@gibsramen.bsky.social
Bioinformatics PhD working at the intersection of software, biology, & statistics. NeoVim fanatic. Vindicated Detroit Lions fan.
Reposted by Gibraan Rahman
Funny how it works. We have all these “lab leak” articles always starting with how they were “silenced”, “censored”, etc, etc.

Yet, for years, all we hear about is the lab leak. Same nonsense over and over.

Those *truly* being silenced are the scientists doing the work. Including in the NYTimes.
Not gonna link to or rebut the lab origin opinion in this morning's NYT. It's just the same old stuff rehashed again.

Instead I briefly counted any misleading articles I could find that were supportive or uncritical of a lab origin.

I found 324 articles since Mar 2020. The median month had 3.
March 16, 2025 at 7:03 PM
Reposted by Gibraan Rahman
We've been saving this little pup for when we thought you all might really need a gold star. And, given the current circumstances, here she is. 13/10
March 5, 2025 at 7:00 PM
Reposted by Gibraan Rahman
Tomorrow in the NYT: I voted for Donald Trump because I hate the people he hates and wanted to see them suffer. Now that I am suffering, why can’t you find it in your heart to be sympathetic? RUDE
February 21, 2025 at 4:50 PM
Reposted by Gibraan Rahman
Thank you, @washingtonpost.com, for using correct verbiage. @nytimes.com you really really need to do better - it's embarrassing and incredibly damaging by now.
February 13, 2025 at 9:12 PM
Reposted by Gibraan Rahman
Study sections are the review panels that allocate NIH research grants. They bring in experts from around the country and have to be scheduled many months in advance; they provide the funds that keep the nation's biomedical research going.

It's hard to overstate the disruption this causes.
All NIH study sections canceled indefinitely. This will halt science and devastate research budgets in universities.
January 22, 2025 at 11:20 PM
Reposted by Gibraan Rahman
if you're a tech journalist in the present climate, it's incumbent upon you to ask why big tech is pursuing dead ends like AI when they could just start using the number 2. ones and zeroes have taken us as far as they can. either chuck a few 2s in there or cede the future of tech to those who will
December 6, 2024 at 5:43 PM
One of my favorite papers on Bayesian workflows!
Since it is inefficient to attempt to educate every reviewer individually, I am yeeting into your feed this clear paper from Gelman, Hill, and Yajima on how Bayesians can do even better than correcting for multiple comparisons. arxiv.org/abs/0907.2478
Why we (usually) don't have to worry about multiple comparisons
Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies t...
arxiv.org
November 26, 2024 at 2:39 PM
Reposted by Gibraan Rahman
Optimist: The cup is half full
Pessimist: The cup is half empty
Reviewer 2: Do one more single cell RNA seq experiment, validate it by qPCR, make sure your UMAP fits my expectations
November 24, 2024 at 12:40 AM