Vasco Brazão 🏳️‍🌈
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vascobrazao.bsky.social
Vasco Brazão 🏳️‍🌈
@vascobrazao.bsky.social
Recovering behavioral scientist, posing as a statistical consultant. Applied stats #RStats, neurodiversity, learning Ukrainian, writing things
calling all #AI haters (complimentary): I participated in a project evaluating LLM-supported math tutoring and would love some criticism/references/whatever you've got that might influence follow-up projects.

technical report here (abstract in picture): storage.googleapis.com/deepmind-med...
November 13, 2025 at 5:53 PM
Finally!

#AI #GenAI
October 21, 2025 at 11:28 AM
amazing. it appears google translate has hurt itself in its confusion, see:
October 9, 2025 at 4:58 PM
*shudders*
October 9, 2025 at 12:58 PM
just started reading, found a cute typo:
May 20, 2025 at 2:47 PM
hey google docs, this is #RStats erasure 😠
May 19, 2025 at 5:24 PM
se considerarmos direita vs esquerda parece que tem correlação: quanto mais à direita, menos confiança em cientistas
January 20, 2025 at 11:54 AM
#RStats puzzle. What happens after the third call, and why?

#DataScience #StatsSky
November 27, 2024 at 12:11 PM
citation desperately needed... And "the soon-to-be for-profit enterprise whose profitability depends on saying so said so" is less than evidentiary 🙄
November 15, 2024 at 2:46 PM
things i will never understand
October 22, 2024 at 10:23 AM
ironically, the feed seems to be down at the moment (ping: @steveharoz.com )
October 18, 2024 at 8:49 AM
!!!
October 18, 2024 at 8:22 AM
Bullshit, hard and soft.
October 15, 2024 at 3:28 PM
Finally reading "Is ChatGPT Bullshit?", which argues the falsehoods in the outputs of language models are not "hallucinations" but "bullshit", and explains why the distinction is useful.

link.springer.com/article/10.1...

#ScienceReading #ArtificialIntelligence #PhilSky #PhilTech #Psychology
October 15, 2024 at 2:58 PM
don't know if to laugh or cry
October 5, 2024 at 10:08 AM
it is always disheartnening to see leftists who don't recognize russia for the violent colonial empire that it is. a new podcast can help educate those who are open to it -- listen to Matryoshka of Lies wherever you get your podcasts! spotify link below

#UkrainianView #Russia
June 13, 2024 at 3:00 PM
the questions stare back at you
June 13, 2024 at 11:01 AM
Finally taking the time to learn how to create fully reproducible analyses -- many thanks to
@brodriguesco.bsky.social
for this phenomenal resource raps-with-r.dev
#rstats #stats #AcademicSky #PsychSciSky #sociology
June 13, 2024 at 10:43 AM
In the next section, the authors suggest psychologists start asking more questions amenable to predictive analysis. But I don't quite get why. E.g, in the example in the screenshot, what have we actually learned about human personality?
May 3, 2024 at 4:06 PM
In the section "Increasing interpretability", they cover 5 benefits of machine learning approaches, the last one being thath "a prediction-focused perspective can help gain a deeper understanding of the general structure of one’s data" (see also screenshot) but I'm suspicious. Now we're using >
May 3, 2024 at 3:58 PM
They give examples, like multilevel modelling, where introducing bias can be beneficial because the reduction in variance helps to reduce the total prediction error, and suggest that it's helpful to view p-hacking debates through this lens.
May 3, 2024 at 1:45 PM
Next they go into the difference between bias and variance (how much the mean of your estimates deviates from the true mean vs how spread out around their mean your estimates are), suggesting that decomposing error into both components can be more informative than just looking at mean square error.
May 3, 2024 at 1:31 PM
@devezer.bsky.social might appreciate this example of how replication can fail to add to our knowledge precisely because it sticks to rather than improves on the methodology of an earlier study
April 30, 2024 at 10:00 AM
The next section opens with an acknowledgement of increased calls to contrain analytic flexibility. But again, I've become convinced that the "exploratory-confirmatory" distinction is overblown and not really relevant for theory building. E.g., read "Paths in Strange Spaces" osf.io/preprints/ps...
April 18, 2024 at 5:56 PM
Here again, I've been more convinced by attempts to explicate the role of data and statistical evidence in the process of theory buildingm, but I'm interested in learning how the competing motivations Y&W describe (flexibility and robustness) can be balanced.
April 18, 2024 at 5:42 PM