iiinova — where your digital self keeps evolving

But if it's poisonous despite being called a chocolate frog, someone might try to eat it and die! 😢

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And crabs aren't lizards!! (Or are they? Is this a tomato thing..)

I was hedging in case there were other important lizards but a quick search suggests they aren't on the same level 😂

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It's actually called Gila McGilaface

The one I'm holding is not real in case you were wondering

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Omg thanks to @dingdingpeng.the100.ci I'm now the proud sponsor of a Gila monster at the zoo 🦎 One of the most important lizards in medical history! There it is, sleeping on the right.

Me holding a Gila monster plushie in front of a Gila monster exhibit

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Reposted by Saloni

clinicaltrialsabundance.blog

New post and game by me! Some people claim that AI will cure all diseases in 10 years. Others are more skeptical, arguing that experimentation and clinical trials are the bottleneck. Who's right? I designed a game to find out.

The clinical trial bottlenecks game

Where’s the bottleneck in curing diseases? I designed a game to find out.

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Here's a link to the game: game.clinicaltrialsabundance.blog I promise it's fun, and some of my friends have gotten really competitive about it! There are leaderboards, and there's a bonus game you can unlock if you solve the challenge.

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No matter how effective a new drug is, it won't make it to the finish line without funding and clinical trial infrastructure to test it in the first place.

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In the end, you'll also learn that the same timeline can be sped up in multiple ways, but some levers matter much more than others. They also interact, and have diminishing returns. After a certain level, further improvements don't make much difference.

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In this game, your job is to speed up a phase three trial, by changing its design: You can recruit more participants, recruit them faster, increase drug efficacy, use surrogate endpoints and more. But as you'll notice, each faces diminishing returns...

clinicaltrialsabundance.blog

The clinical trial bottlenecks game

Where’s the bottleneck in curing diseases? I designed a game to find out.

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Reposted by Saloni

Happy Friday! Iʼve created a game for you to play! Will AI cure all diseases in 10 years? Inspired by bottlenecks discourse, I created a game to help build your intuitions. Play it here: game.clinicaltrialsabundance.blog Naturally, it’s bottle-themed with bubbles and there are leaderboards too.

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Very fun to see how many people have played already. Each line here represents a successful completion, and there were many different ways to solve the game!

A mysterious unlabelled chart of solutions to the game.

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If you complete the challenge, you'll unlock a bonus game where you can steer a raft down bottleneck river ⛵️

A little boat floating inside a champagne bottle

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clinicaltrialsabundance.blog

It comes with a companion blogpost where I describe the motivation behind it, some of my takeaways, and what it tells us about AI and medicine. You can read it here:

The clinical trial bottlenecks game

Where’s the bottleneck in curing diseases? I designed a game to find out.

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Her cheeks are comically chubby

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. @dingdingpeng.the100.ci's baby is so chubby, I had to find out how our face sizes compared, side by side. Unfortunately I still can't tell. It's debatable

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Yeah when I first saw a picture of it, I thought it would be ice cream with cheese and a tomato sauce taste and I was very confused

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My record so far is eating five ice cream scoops in one cone. In my defence, I didn't know that's what I had ordered, but I decided to eat it anyway.

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I have just eaten a mango-shaped mango ice cream. It was mangonificent

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Thank god my bug bounty is paused

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It tastes surprisingly like ice cream

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Dan Quintana @dsquintana.bsky.social · 19/09/2026

I have just eaten my first Spaghettieis. It felt very unnatural to eat it with a spoon.

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Reposted by Saloni

New preprint! 🎉 I analysed 1660 papers from 4 psychology journals and found materials sharing went from 9% of papers in 2015 to 82% in 2025, and these materials *do* get downloaded — a median of 135 times each. BUT shared code is often hard to run. doi.org/10.31234/osf... Let's walk through it 🧵

Two-panel figure. Panel a is a flow diagram tracking 1,611 empirical psychology articles from publication year (545 in 2015, 552 in 2020, 514 in 2025) to repository-link type: 785 link an OSF project, 85 link another platform, and 741 link no repository. Of those with an OSF link, download counts were retrieved for 670 and not retrieved for 115. Panel b is a line chart of the share of empirical papers linking OSF across 2015, 2020 and 2025. The overall rate, shown as a dashed black line, rises from 9% to 57% to 82%. All four journals rise steeply and end close together: Psychological Science 92%, JESP 89%, JML 83%, Cognition 76%, with Psychological Science highest throughout.

Three-panel figure. Panel a: ridgeline plot of downloads per file by material type on a log scale, with the percentage never downloaded labelled for each — archive 16% of 545 files, documents 20% of 2,970, code 12% of 3,471, other 17% of 1,646, data 21% of 10,051, media 35% of 2,120, images 35% of 4,102. Most files cluster between 1 and 10 downloads, with long right tails past 100. Panel b: ridgeline plot of downloads per paper by journal, log scale, with dashed median lines; Psychological Science is highest, then JESP, JML and Cognition. Panel c: stacked bars showing, for documents, data and code separately, the share of papers by download band (0, 1–10, 11–100, more than 100) in 2015, 2020 and 2025. The share exceeding 100 downloads falls sharply over time in all three types, from roughly two-thirds in 2015 to a quarter or less in 2025, as the 1–10 band grows.

Four-panel figure. Panel a: statistical languages detected among 333 papers with retrievable code — R 88%, SPSS 12%, Stata 4%, SAS 1%. Panel b: code red flags among those 333 papers — 34% hard-code an absolute path, 40% reference a missing file — above documentation among 672 OSF-linked papers — 21% have a README, 30% are documented by README, description or wiki. Panel c: among 562 Elsevier papers with no repository link, 44% (245) host at least one journal supplementary file but only 14% (77) host data, code or an archive. Panel d: composition of those 448 hosted files — documents 52%, data 21%, media 9%, other 7%, archive 6%, code 3%, images 1%. The code panels are green, the journal-supplement panels blue.

Coefficient plot (download predictors)

Dot-and-whisker plot of three standardised predictors of OSF download volume, each with a 95% confidence interval. Repository size (number of files) has the largest effect at about 0.76, citations about 0.38, and altmetric attention about 0.12. All three intervals sit entirely above zero, so each predicts more downloads, with repository size roughly twice the effect of citations and six times that of attention. X-axis: standardised effect, −0.2 to 1.0.

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Reposted by Saloni

Julia M. Rohrer @dingdingpeng.the100.ci · 18/09/2026

Cluster analysis can be applied to these, and clusters will be found. But that doesn’t mean those clusters are meaningful.>

man to computer: Find clusters
computer: >CLUSTERS FOUND
man: oh my god.

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Reposted by Saloni

Julia M. Rohrer @dingdingpeng.the100.ci · 18/09/2026

This is an *excellent* post on cluster analysis. If you ever thought about applying cluster, latent class or latent profile analysis to psychological scales, you absolutely should read this!>

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The questions here were too specific to potatoes; this was basically trying to figure out what kind of potato was my favourite. While the other one was trying to match me with a type of potato based on my interests and personality

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They could roast you, fry you, or even boil you

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And I didn't want to be any of these, so I clicked I Don't Care.

What do you want to be when you grow up?

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This question was hard by the way. My favourite subject at school was English, which wasn't an option here, but break time ranked higher than the others.

What's your favourite subject at school? Drama, I don't mind, PE, Science, Break time, Art and design, Maths