Denis Mongin

Makes sense.
I guess you should see the same in Spain, were similar crackdown occurred in 2010

My god, if the person who invented the pie chart curve starts looking into snake waffles ....

So what is it that is US specific then?

Ho wahou.
What happend 2001? Is it the same in other occidental countries ?

dear #Rstats #dataviz and #ggplot ninja, dear @coulmont.bsky.social , here is the next challenge

I want a ggspiralbars

The threat of analytic flexibility in using large language models to simulate human data: A call to attention Social scientists are now using large language models to create "silicon samples" - synthetic datasets intended to stand in for human respondents, aimed at revolutionising human subjects research. How...

@jamiecummins.bsky.social wrote some things about silicon samples that are worth reading:

arxiv.org/abs/2509.13397

Where things stand with the Department of War A statement from Dario Amodei

I think one of the most staggering industry shifts in my 16 years as a tech reporter is that it’s not become a question of “should our product help the government kill and/or surveil people?” but “to what extent?”

www.anthropic.com/news/where-s...

I am soooooo Happy that Dianna managed to start back making video. Her smile when speaking about physics is a gift.

For those who don't know her, she is a wonderfull physics communicator who suffered violent post-COVID, that got her in bed . During. 3 . years.

maybe ask chatGPT ?

Scientific datasets are riddled with copy-paste errors Initial results from scanning through Excel files belonging to 600 published scientific papers.

If you want to take your mind off awful politics and look at awful science stuff instead, this is a good read: www.sciencedetective.org/scientific-d...

This and gganotation are life savors

The canvas() function from the ggview R package is very useful for previewing/tweaking a ggplot into publication-ready format: it renders a plot "as it would appear if saved to a file with the specified dimensions".

cran.r-project.org/web/packages...

#RStats #ggplot #ggview

bsky.app/profile/hims...

1. A short thread on a Bluesky phenomenon that might be described as "They are a dead-eyed cultist who must be cast out lest the heresy take root!" OP has blocked me for mocking them - I'd usually obscure their name but since they themselves were quote-dunking to demand someone else be blocked ...

Thank you! Exacty that.
I had the same sensation with other posts, just argumenting "LLM just only predicts the next word it cannot think or plan anything", which so much contradicts people using them to code/build.

bsky.app/profile/deni...

Thinking about qwen3.5 ?

whaou, super nice, bravo

image from "Be Right Back" is the first episode of the second series of British science fiction anthology series Black Mirror. Martha Powell (Hayley Atwell) and Ash Starmer (Domhnall Gleeson) are a young couple who have moved to Ash's remote family house in the countryside. While unpacking, Ash mentions his mother moved photos of his father and brother to the attic after their deaths. The day after moving in, Ash is killed while returning the hired van. At the funeral, Martha's friend Sarah (Sinead Matthews) talks about a new online service which helped her in a similar situation. Martha yells at her, but Sarah signs Martha up anyway. After discovering she is pregnant, Martha reluctantly tries it out. Using all of Ash's past online communications and social media profiles, the service creates a new virtual "Ash". Starting out with instant messaging, Martha uploads more videos and photos and begins to talk with the artificial Ash over the phone. Martha takes it on countryside walks, talking to it constantly while neglecting her sister's messages and calls. At a checkup, Martha hears her child's heartbeat. She shows the artificial Ash the heartbeat but she accidentally drops her phone and temporarily loses contact with him. After consoling her, the artificial Ash tells her about the service's experimental stage. Following his instructions, Martha turns a blank, synthetic body into an android that looks almost identical to Ash.

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.

exact!
And it explains why a lot of ML studies do not do better than regression, see www.jclinepi.com/article/S089...

I had this fight with a colleague last year. Exactly that: XGboost on 30k patient to predict remission.
Didn't predict shit, as good as logistic regression performed properly. But the colleague wanted to go "look this giant step toward personalized medicine blablabla"

Generally because there is not enough info in the data to predict anything meaningful at the patient level.

☝️
Though o tend to avoid last hour, because of server crashes

Whaou so nice!
Do you have a github?

The moms eating placenta gummies and smoothies: ‘Celebrities made this mainstream’ Placenta encapsulation has become a mini-industry in the US, amid questions over its safety and benefits

www.theguardian.com/lifeandstyle...

yep.
But the richest man on earth, who owns the biggest and most influencial social network, helped him a lot.
So there is that

Violent and non-violent death tolls for the Gaza conflict: new primary evidence from a population-representative field survey This first independent population survey of mortality in the Gaza Strip shows that violent deaths have substantially exceeded official figures whereas the demographic composition of casualties aligns ...

The new Lancet study on the genocide in Gaza finds that total deaths were 1.71 times higher than reported by the Gaza Ministry of Health as of January 2025.

www.thelancet.com/journals/lan...

Data.table syntax is the best thing produced in #Rstats

Andrew Heiss’s blog | Andrew Heiss

Andrew Heiss @andrew.heiss.phd has a lot of quarto ressources, worth checking i think
www.andrewheiss.com/rss.html#cat...

I would do letter + pubpeer, I think it is worth it.

Philosophy #FAQ Ontology: what the fuck? Causality: why the fuck? Epistemology: how the why the fuck? Phenomenology: the fuck.