Profile avatar
goringennady.bsky.social
🦠🧬📊bioinformatics, statistics, and stochastic processes.
262 posts 277 followers 93 following
Regular Contributor
Active Commenter
Posts 16 Comments 34

Google has heard my criticisms! The YouTube app no longer works on my phone, so I can no longer cast, so the Chromecast is now just a screensaver

submitted 7 days ago • 0 comments

🗿

submitted 9 days ago • 0 comments

I wrote a review of a recent paper on false discovery and multiple testing correction. liorpachter.wordpress.com/2025/06/16/r...

submitted 11 days ago • 7 comments

This is how I discovered Chromecast has been discontinued. Chromecast may have been the last good product Google made. You plug it in, you set it up, it simply works forever and never asks for an update, like an alarm clock. Far better than today's offerings, such as "dangerous unsolicited ...

submitted 13 days ago • 1 comment

This is incredible. The deployed AI models have finally managed the impossible: becoming utterly worse at image recognition than anything from the past 15 years.

submitted 14 days ago • 3 comments

Finally, a good poetry collection (featuring James Hogg of Confessions of a Justified Sinner, of all people)

submitted 13 days ago • 0 comments

I sometimes overhear conversations about tool choice in bioinformatics, where implementation language is stated as the primary criterion. Such thinking stands in the way of scientific quality and productivity. It is a form of self-harm. What should one really care about? (1/5)

submitted 14 days ago • 1 comment

A statistical error known as pseudoreplication appears in more than half of recent mouse studies on neurological disorders, according to a new study. Peter Kind and Constantino Elfetheriou tell Lauren Schenkman why researchers should pay attention. www.thetransmitter.org/pseudoreplic...

submitted 15 days ago • 1 comment

Someday Apple will solve the harder problems like "making a calculator app," "moving a photograph from a phone to a computer using a wire," and "not deleting every single one of my books the moment I get on an airplane"

submitted 16 days ago • 0 comments

It’s quite hard to systematise where models can go wrong but here is an attempt: 1. Wrong math 2. Wrong mapping of math to code (or vice versa) 3. Correct math and code but wrong interpretation given in text: code solves one task but paper presents it as another task 4. Poorly understood tasks 5. …

submitted 17 days ago • 1 comment

This phrase was coined in 1976 when the models were a lot simpler than the models published now. Linear mixed models and PCA can be described this way because as general methods they are wrong in less complex ways. Specialised models can be wrong in quite misleading ways as well as useless.

submitted 17 days ago • 1 comment

The rebuttal hits three points. 1. Multiple comparison correction is optional, and even if we do it, we only really have to do FDR for the few dozen genes that hit a log2FC threshold (because those are the ones from which we are picking the significant ones, and we ignore all others), vs. all 20k.

submitted 23 days ago • 1 comment

having an idea is beyond easy because it is the same idea every time: manipulate data by hook or by crook until a graph can be constructed from it, then query that graph

submitted 23 days ago • 2 comments

you can say the authors of <BLEND: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages> were dedicated by looking at Table 1.

submitted 25 days ago • 1 comment

mitochondrial function, stress response, apoptosis, and autophagy experts, is this right

submitted 24 days ago • 0 comments

John left Ringo (3)

submitted 25 days ago • 1 comment