csaid81

5 ms·

1.
by csaid81 1y ago
Yes, but not only did they improve the memory of mouse models of Alzheimer's, they also improved the memory of older wild-type mice, which seems impressive to me. https://www.nature.com/articles/s41586-025-09335-x&
2.
by csaid81 2y ago
I know a lot of legitimate research supports various versions of the amyloid hypothesis, but I don't buy that these likely fraudsters had minimal impact. You said that Lesné was "not that highly cited". But his main fraudulen
3.
by csaid81 2y ago
Sorry, here's the correct link https://chris-said.io/2024/06/17/the-case-for-criminalizing-...
4.
by csaid81 2y ago
He could be prosecuted under current fraud laws, but this hardly ever happens. I wrote a blog post on how to make this easier, including a new criminal statute specifically tailored for scientific fraud. https://news.ycombinator.
5.
by csaid81 2y ago
Blog post author here. The paper was the 4th most cited paper in Alzheimer's research since 2006. So I feel reasonably confident that if it had never been written, some researchers at the margin would have chosen to work on other hypot
6.
Why inaccurate antigen tests are better than slow PCR tests(chris-said.io)
5 points by csaid81 6y ago|0 comments
7.
by csaid81 6y ago
I think the answer is not "nope" but "probably nope". That video is perhaps overconfident in our ability to detect these storms. From the article: > One-third of major storms arrive unexpectedly, according to the SWPC
8.
Solar storm risk and EMP attacks(chris-said.io)
144 points by csaid81 6y ago|67 comments
9.
Religions as firms(chris-said.io)
4 points by csaid81 9y ago|0 comments
10.
by csaid81 9y ago
Thanks for the link! Good stuff. By the way, dplyr doesn't use multi-indexes. I actually think this one of the reasons (although not the biggest reason) dplyr is easier to use.
11.
by csaid81 9y ago
Pandas makes lots of backwards-incompatible changes. See for example these changes in the latest release http://pandas.pydata.org/pandas-docs/version/0.18.0/whatsnew... There have been a few independent attem
12.
by csaid81 9y ago
Here's some specific examples: https://twitter.com/Chris_Said/status/715249097326768128 https://twitter.com/Chris_Said/status/861244045535756290 I could be wrong, but I'm prett
13.
by csaid81 9y ago
Right, but I'm talking about the pandas API. Stuff like how easy it is to remember exactly how to do aggregations, transformations, etc.
14.
by csaid81 9y ago
It's great that the Moore Foundation provided funding for open source data science tools in Python. Good for them! That being said, I do wonder if numpy is the most appropriate recipient. In my experience with data science, the tool th
15.
Keyboard shortcuts I couldn't live without(chris-said.io)
4 points by csaid81 9y ago|0 comments
16.
Learning by flip-flopping(chris-said.io)
4 points by csaid81 9y ago|0 comments
17.
by csaid81 9y ago
Yup, I agree about throwing away rater information. The actual application at my company that motivated me to research this doesn't have rater information, which is why I didn't think to adjust for it. The movie case was just an e
18.
by csaid81 9y ago
Got it. Thanks for the clarification. In that case I would think that James-Stein / Buhlmann / BLUP is a better approach, since it is just as easy to implement and the amount of shrinkage is optimally chosen based on the data, rat
19.
by csaid81 9y ago
This seems different and a bit lacking in detail (although I don't dispute that it could be useful). How exactly does one choose m and C? And what are the conditions under which it would reduce to the James-Stein / Bulmannn /
20.
by csaid81 9y ago
Author here. Please see the section on mixed models in my post. As I mentioned there, I would love if an expert could expand on the relationship between mixed effects and Empirical Bayes. Regarding MCMC, one of the things I try to emphasize
21.
by csaid81 9y ago
It's an excellent blog post, although it's worth emphasizing that it is designed for the binomial case, where you wish to compute the fraction of occurrences within some events, such as batting averages. For continuous variables,
22.
Empirical Bayes for multiple sample sizes(chris-said.io)
104 points by csaid81 9y ago|17 comments
23.
Optimizing things in the USSR(chris-said.io)
11 points by csaid81 10y ago|0 comments
24.
How to make polished Jupyter presentations with optional code visibility(chris-said.io)
1 points by csaid81 11y ago|0 comments
25.
We're getting better at picking metrics to optimize(filedrawer.wordpress.com)
1 points by csaid81 11y ago|0 comments