João Guassi Moreira's Avatar

João Guassi Moreira

@jfguassimoreira.bsky.social

assistant professor UW Madison psych | studies neurodevelopment, emotion regulation, and decision-making | dumpster diving for psychic retrieval | views expressed my own

1,193 Followers  |  1,121 Following  |  213 Posts  |  Joined: 30.10.2023  |  2.6676

Latest posts by jfguassimoreira.bsky.social on Bluesky

Great way to term it. I was playing with “quiet quitting the union” myself but yours is better

04.10.2025 02:04 — 👍 1    🔁 0    💬 1    📌 0

His books also helped me get back into reading for pleasure, in general. Was hard to get motivated to fun-read after academic reading for 10+ years, but his books also helped!

02.10.2025 04:57 — 👍 0    🔁 0    💬 0    📌 0

Thanks for sharing

01.10.2025 05:57 — 👍 0    🔁 0    💬 0    📌 0

tl;dr

    Collinearity is a form of lack of information that is appropriately reflected in the output of your statistical model.
    When collinearity is associated with interpretational difficulties, these difficulties aren’t caused by the collinearity itself. Rather, they reveal that the model was poorly specified (in that it answers a question different to the one of interest), that the analyst overly focuses on significance rather than estimates and the uncertainty about them or that the analyst took a mental shortcut in interpreting the model that could’ve also led them astray in the absence of collinearity.
    If you do decide to “deal with” collinearity, make sure you can still answer the question of interest.

tl;dr Collinearity is a form of lack of information that is appropriately reflected in the output of your statistical model. When collinearity is associated with interpretational difficulties, these difficulties aren’t caused by the collinearity itself. Rather, they reveal that the model was poorly specified (in that it answers a question different to the one of interest), that the analyst overly focuses on significance rather than estimates and the uncertainty about them or that the analyst took a mental shortcut in interpreting the model that could’ve also led them astray in the absence of collinearity. If you do decide to “deal with” collinearity, make sure you can still answer the question of interest.

Was asked about collinearity again, so here's Vahove's 2019 post on why it isn't a problem that needs a solution. Design the model(s) to answer a formal question and free your mind janhove.github.io/posts/2019-0...

01.10.2025 05:29 — 👍 112    🔁 32    💬 3    📌 4

I think very few are knowingly champing at the bit for authoritarianism and, and I think many may not fully be engaged enough to know what he’s actually doing

01.10.2025 05:54 — 👍 5    🔁 0    💬 0    📌 0

Doesn’t necessarily mean all 42% agree the authoritarian tendencies of the admin

30.09.2025 18:23 — 👍 2    🔁 0    💬 1    📌 0

Excited to share my latest preprint, a study from my postdoc days on the social neuroscience of mental representational change! Leveraging two cohorts of first year high schoolers, we used RSA to show that spontaneously evoked mental representations of known others grow more idiosyncratic with time

26.09.2025 06:02 — 👍 4    🔁 0    💬 0    📌 0
Preview
Toward a unified taxonomy of information dynamics via Integrated Information Decomposition | PNAS Our ability to understand and control complex systems of many interacting parts remains limited. A key challenge is that we still do not know how b...

Finally published:
“Toward a unified taxonomy of information dynamics via Integrated Information Decomposition”
www.pnas.org/doi/10.1073/...

An information-theoretic framework to analyse complex multivariate dynamical processes ✨

24.09.2025 14:49 — 👍 28    🔁 6    💬 2    📌 0

Disney reverses course on Kimmel. Lessons:

-Trump's anti-Constitutional stances, anti-1A in this case, are unpopular
-Popular resistance via expression and spending choices can have an impact
-Many corporate leaders are weak, amoral people who'll bow to threats unless they face countervailing ones

22.09.2025 19:49 — 👍 2088    🔁 638    💬 48    📌 27

The New York Times piece today about US science is terrible and wrong—in many ways.

I could write a whole article about this, but as one example:

“To close observers, the original crisis began well before any of this…”
No. I’m a close observer of science, and this is incorrect.

22.09.2025 12:20 — 👍 921    🔁 227    💬 24    📌 31

It’s one game bruh

21.09.2025 22:27 — 👍 0    🔁 0    💬 0    📌 0

Excellent explainer on why private industry and venture capital can’t replace government funded basic science research.

21.09.2025 13:55 — 👍 110    🔁 40    💬 1    📌 0

I refuse to believe Jim Lookabaugh was a real person

20.09.2025 02:06 — 👍 10    🔁 0    💬 1    📌 0

Lol

19.09.2025 11:19 — 👍 4    🔁 0    💬 0    📌 0

This policy initiative is antithetical to the current consensus in developmental science, and has a very good shot of making crime worse in the long run.

18.09.2025 04:02 — 👍 2    🔁 0    💬 0    📌 0

By the way, you can in fact run a media business where people give you money for goods and services. 56k+ people give The Onion ~$100 and we give them a year of newspapers. This business didn’t exist last year in this way. People will pay for good shit. Now’s the time to break glass and go for it.

18.09.2025 01:10 — 👍 6850    🔁 882    💬 82    📌 52

🤞🏼

17.09.2025 04:27 — 👍 0    🔁 0    💬 0    📌 0

Super cool work, thanks for sharing

17.09.2025 03:24 — 👍 0    🔁 0    💬 0    📌 0

This is super, super cool, thank you for sharing!

17.09.2025 02:19 — 👍 2    🔁 0    💬 0    📌 0

Hopefully it’s a blip, but that I can’t say I’m not unnerved

17.09.2025 02:16 — 👍 1    🔁 0    💬 1    📌 0

Elite cultural reference

17.09.2025 02:12 — 👍 0    🔁 0    💬 0    📌 0

Ty!!

17.09.2025 02:00 — 👍 0    🔁 0    💬 0    📌 0

Thanks homie!

17.09.2025 02:00 — 👍 1    🔁 0    💬 0    📌 0

Many thanks!

17.09.2025 02:00 — 👍 0    🔁 0    💬 0    📌 0

Thank you!

17.09.2025 02:00 — 👍 1    🔁 0    💬 0    📌 0

Thank you!

17.09.2025 02:00 — 👍 0    🔁 0    💬 0    📌 0

😌

17.09.2025 01:59 — 👍 0    🔁 0    💬 0    📌 0

Thank you!

17.09.2025 01:59 — 👍 1    🔁 0    💬 0    📌 0

Thanks fam!

17.09.2025 01:59 — 👍 0    🔁 0    💬 0    📌 0

🎉 grateful to the BBRF for their continued investment in junior scientists! 🎉

16.09.2025 18:27 — 👍 32    🔁 0    💬 6    📌 0

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