Jeremy Wilmer

@showmydata.org

Founder of http://ShowMyData.org. Board member of http://ManyBrains.net. Graph interpretation research: https://www.sciencefriday.com/segments/bar-graph/. Faculty @Wellesley.

More people are attending Women's Super League football games. Yesterday, I was happily surprised to see 55,000 people attending a friendly football match between Brazil and USA women's national teams. That inspired this visualization. #dataviz #football

Bild

I built a website that tracks open source tools that provide automated checks for scientific manuscripts: lakens.github.io/automated_re... It provides a summary through RSS feed that you can subscribe to. It tracks 13 repositories - if you want your repo to be included, let me know!

WHAT IS BEING BUILT

Tools that perform automated checks have the potential to assist researchers. Just as a spelling check can warn users for possible misspellings, automated checks of statistical reporting, data and…

lakens.github.io

Recently, I got quite frustrated listening to a large group of economists discussing preregistration and pre analysis plans. So, I've channelled that into an argument for why they should be preregistering their work whenever performing confirmatory research kdoroc.substack.com/p/arguing-wi...

Arguing with economists: the case for preregistration

At a recent economics conference there was a long discussion on preregistration where we heard questions and comments from ~20 different people at varying levels of seniority.

kdoroc.substack.com

Important reminder why survey results examining the % of people who believe in conspiracies should not directly be interpreted as the % of people who believe in conspiracies. Respondents don't all answer seriously, so the news that 12 million people believe in lizard people is not accurate.

Robert Ross@robert-m-ross.bsky.social · 4mo ago

In a new study my collaborators and I focus on this alternative hypothesis. We asked participants if this statement is true or false: “The Canadian Armed Forces have been secretly developing an elite army of genetically engineered, super intelligent, giant raccoons to invade nearby countries”.

One year later: the depth of processing demo (unsurprisingly) replicated in my new intro psych cohort! The original thread contains instructions on how to implement this demo in your class—it's a crowd pleaser, and it can be a good grounding example for research methods and study designs.

A jitter plot showing results for a depth of processing demonstration. The y-axis has "number of words remembered," and the x-axis has "instructions given" with "font" and "house cat" as two groups. On average, students that had to note whether a word was larger or smaller than a house cat remembered more words than students who had to note whether a word was in black or blue font.
Janna Wennberg@jannawennberg.bsky.social · 2y ago

First day of teaching Intro to Psychology, and I'm so grateful for the depth of processing demo—it ALWAYS WORKS!

A grouped jitter plot. On the x-axis is "Which set of instructions did you get," with the options of "Black or blue font" and "Larger or smaller than a house cat" and on the y-axis is "How many words did you remember?" The group who got "larger or smaller than a house cat" remembered more words than the group who got "black or blue font."

NSF GRFP applicants (and mentors): Was your application Returned Without Review and deemed ineligible despite fitting in the allowed topics? 1) Write NSF 2) Write your Congressperson 3) CC us at grfp@grant-witness.us so we can compile + follow up Details and template at grant-witness.us/grfp-letter

Behavioral data can be very detailed but are usually aggregated and normalized in ways that smother the dynamics. Ben wrote a continuous-time Markov model to improve on this, and also wrote simulations for exploring and validating pipelines. All the code is here: github.com/BenKawam/ASN...

Ben Kawam@benkawam.bsky.social · 9mo ago

New paper! We propose a framework to empirically study animal social relationships by modelling social network (SN) data as time-series—that is, without the need to aggregate them over time. www.biorxiv.org/content/10.1...

Each dyad (a, b) moves through four discrete states over time, represented by coloured circles. The dyad remains in a given state for a certain duration, or "holding time", before transitioning to a new state according to state-specific transition probabilities, indicated by arrows showing all possible (non-zero) transitions. Paintings by Sofia M. Pereira & Judith von Nordheim.

MetaROR, a platform for reviews of research on research, is a success! We have published 24 sets of reviews and have 16 submissions in process. MetaROR now has 9 partners - these are journals that agree to use our reviews when authors submit to them. metaror.org #metascience #openaccess

Home - MetaROR

MetaResearch Open Review MetaResearch Open Review MetaResearch Open Review A new platform designed to transform how we review and share metaresearch A new platform designed to transform

metaror.org

Dot plot #dataviz comparison: ratings of FIDE chess Grand Masters via Tidy Tuesday. 1 Nearest stacks (Wilkinson) 2 Smoothed stacks 3 Smoothed hexagonal grid 4 Exact position (beeswarm) Smoothing trades delta-x for spikiness (deviation from kernel density estimate).

Dot plot of FIDE Grand Master chess ELO ratings. Most are between 2400 and 2600. Each dot is placed in the nearest stack.
Source data: https://github.com/rfordatascience/tidytuesday/blob/main/data/2025/2025-09-23/readme.mdDot plot of FIDE Grand Master chess ELO ratings. Most are between 2400 and 2600. Each dot is placed in the nearest stack or the next nearest if it helps avoid spikes.Dot plot of FIDE Grand Master chess ELO ratings. Most are between 2400 and 2600. Each dot is placed in the nearest cell of a hexagonal grid, or a nearby cell to avoid spikes in the profile.Dot plot of FIDE Grand Master chess ELO ratings. Most are between 2400 and 2600. Each dot is placed at its true x position, adjusted vertically to avoid overlap.