







Related: men underrate how much cognitive labor goes into skincare and how sophisticated women are about it. Getting into skincare (identifying unwanted skin conditions and fixing them) is one of the best ways to train empirical science skills. It's a practical science.… https://t.co/CMGPnzXDeB— toucan (@distributionat) September 15, 2025
r/SkincareAddiction
The place for all things related to skincare, with a science-based approach.
Learning How to Learn (And 20+ Studies) – Max's Two Cents
I have been interested in cognitive science and effective learning methods for years. I’ve read multiple books and articles and put many ideas to test. In this post, I aim to synthesize my notes and provide references to scientific studies.
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In this work, we present an approach to evaluate bias present in automated facial analysis algorithms and datasets with respect to phenotypic subgroups. Using the dermatologist approved Fitzpatrick Skin Type classification system, we characterize the gender and skin type distribution of two facial analysis benchmarks, IJB-A and Adience. We find that these datasets are overwhelmingly composed of lighter-skinned subjects (79.6% for IJB-A and 86.2% for Adience) and introduce a new facial analysis dataset which is balanced by gender and skin type. We evaluate 3 commercial gender classification systems using our dataset and show that darker-skinned females are the most misclassified group (with error rates of up to 34.7%). The maximum error rate for lighter-skinned males is 0.8%. The substantial disparities in the accuracy of classifying darker females, lighter females, darker males, and lighter males in gender classification systems require urgent attention if commercial companies are to build genuinely fair, transparent and accountable facial analysis algorithms.


How to be a wise optimist about science and technology?
I believe the central problem of the 21st century is how civilization co-evolves with science and technology. As our understanding of the world deepens, it enables technologies that confer ever more power to both improve and damage the world. There's currently much public discussion of this in the context of artificial superintelligence (ASI). However, it's a fundamental recurring challenge, affecting areas including climate change, genetic engineering, nanotechnology, geoengineering, brain-computer interfaces, and many more. How can we best benefit from science and technology, while supplying safety sufficient to ensure a healthy, flourishing civilization?
Learning Tantra: First Steps
Sex, science, and Tantra - how to have incredible orgasms and amazing sex, and a completely non-spiritual look at why Tantra has such amazing effects.
A Beginner's Guide to Culture Science
Also known as "memetics", it's the study of the narratives that shape human behavior, and how they propagate & evolve

Push-button science
Technological advances change not only what we can learn as scientists, but also how science is conducted. Here we explore how automation and outsourcing are affecting the act of doing science.

Math Academy
The Math Academy curriculum and pedagogy leverage cutting-edge cognitive learning theory. Why? Because it’s been studied extensively, backed up and proven to work. We aren’t providing edu-tainment. This isn’t enrichment. We teach math as if we were training a professional athlete or musician, or anyone looking to acquire a skill to the highest degree possible. This is real work for a student who is serious about learning math. We expect every student using our system to actually master the material, and do it efficiently and effectively.
Problems of Proliferation — LessWrong
Scientific progress and its perils. TLDR: The vulnerable world hypothesis is likely correct. Once enormous amounts of cognitive labor start getting a…
Trump’s Plan for Science: More Money for A.I., Less for Universities
Michael Kratsios, President Trump’s science adviser, proposed overhauling how the government funds research. Democrats said Mr. Trump’s actions had weakened science.

Trump’s Plan for Science: More Money for A.I., Less for Universities
Michael Kratsios, President Trump’s science adviser, proposed overhauling how the government funds research. Democrats said Mr. Trump’s actions had weakened science.

Trump’s Plan for Science: More Money for A.I., Less for Universities
Michael Kratsios, President Trump’s science adviser, proposed overhauling how the government funds research. Democrats said Mr. Trump’s actions had weakened science.

There is something to @benjaminjriley.bsky.social 's ways educators see the "science of learning". I think the SoL is a term more popular in the US. This post could have been the same in the UK as a way educators talk about "cognitive science". buildcognitiveresonance.substack.com/p/the-science-of-learning-tax…
The Science of Learning Taxonomy
buildcognitiveresonance.substack.com