Which risky choices should (and do) we study as behavioral scientists? In two related articles, we recently examined the current "ecology of risk" (i.e., laypersons' reports on what risky choices they face in real life) and how these choices differ from those typically studied in the lab. See https://journals.sagepub.com/doi/10.1177/09567976251384975 and https://psycnet.apa.org/record/2027-13320-001 With @oliviafischer and @aaronlob #risk #decisions #cbdr_lab

Modern life confronts us with a uniquely large and diverse set of risks.

@renatofrey & Fischer mapped 100 of them using a large Swiss survey, collectively a rich, comprehensive inventory across life domains, superior to conventional selections:

https://journals.sagepub.com/doi/full/10.1177/09567976251384975

People sometimes say they do not have time to do open science. But they can use the time they would have needed 40 years ago to send and request paper copies of articles to read the literature.

Somehow we never acknowledge where we gained time that we can invest in open science.

These days, everyone is talking about #polarization. But how best to measure it? Olivia Fischer and I have a new paper that empirically compares various operationalizations of polarization (e.g., on people's risk perceptions), including a shiny app to simulate and analyze different kinds of polarization. https://dx.doi.org/10.1002/bdm.70041 #CBDR_lab @oliviafischer

Planning an online study and wondering how much it will cost? I designed a Shiny app to help with this tedious task. Just input the number of participants, study duration, and hourly pay for up to three studies, and get a cost breakdown for each platform.This and other apps are available here: https://www.psychology.uzh.ch/en/areas/nec/cogres/services.html
#CBDR_lab

Has fMRI peaked?

the outcry on Bluesky over the 1 million Bluesky post Huggingface data set for ML training seems like a perfect illustration of how people’s desires regarding privacy and consent are not just at odds with what platforms give them, but also with *their own actions* (e.g., the consent to terms/conditions they regularly give).

This book makes a strong case for why the current consent-based approach to privacy and data harms is fundamentally inadequate, and we need very different legal tools

last comment on the Bluesky post Hugginface ML training set issue. For those querying whether this has “the consent of the Bluesky team and Jay Garber”, the Bluesky preprint from the beginning of the year explicitly mentioned network wide *sentiment analysis by companies* as a use for Bluesky data…

sentiment analysis *is* machine learning/AI.

…Bluesky is designed for this

Congratulations to Maué Pantoja (https://cbdr-lab.net/pantoja/) for the 2nd place of the student poster award (Society for Judgment & Decision Making #SJDM / New York) 🚀🚀 🚀 #CBDR_lab

@markrubin.bsky.social Awesome, can I join this starter pack with my bridged Mastodon account?

@aaronlob Congratulations :-)

Read the paper here: https://arxiv.org/abs/2310.04153
Watch the Ig Nobel prize ceremony here: https://improbable.com/ig/archive/2024-ceremony/

What do we (a group of 50 scientists) and B. F. Skinner have in common? Of course winning an Ig Nobel prize! 🎉

In a study led by František Bartoš where we performed 350,757 coin flips, we showed that when flipping a fair coin, it tends to land on the same side it started on (probability = 50.8%). Last week, we received the Ig Nobel prize for probability for this breath-taking finding. 🙂

Links to paper and prize ceremony below👇🏼

#CBDR_lab flips coins

Some quantitative psychology (longitudinal emphasis) positions available with me at Uni Zurich from September on, boosts appreciated!

Postdoc:
https://jobs.uzh.ch/offene-stellen/postdoc-in-quantitative-methods-for-psychology/959aeb6b-97bd-4fe0-961c-1fe4994ce344

PhD:
https://jobs.uzh.ch/offene-stellen/phd-doctoral-candidate-in-quantitative-methods-for-psychology/9564ae0f-108f-4265-95d8-bf135ccde571

new preprint on the use of #LLMs as cognitive models, that is, as models of human cognition:

pretraining Arithmetic-GTP with environmentally plausible distributions of probabilities and values leads to embeddings for expected values that in turn can be used to predict between 65% and 95% of human choices in 4 extant datasets of risky choice and inter-temporal choice

1/2

https://arxiv.org/pdf/2405.19313

@cogsci #decision_making

Congratulations to @oliviafischer and @aaronlob who won the 1st an 2nd prizes at our institute's local student conference yesterday 🍾 💪 😀 #CBDR_lab

Do you already know the #CBDR_lab color palette for R? Particularly well-suited for barplots up to four bars.

@lakens Interesting! But I'm not sure if it's a good idea to stop teaching things that are being misused, like p-values and confidence intervals https://doi.org/10.3758/s13423-013-0572-3

#CBDR_lab goes to a (rainy) x-mas dinner!! Happy holidays everyone ❄️ 🎄 🍾 ⭐

Congratulations @oliviafischer to the 2nd place of the best student poster award (Society for Judgment & Decision Making #SJDM / San Francisco) #CBDR_lab