Tom Wallis
@tsawallis.bsky.social
Vision scientist. Professor at the Centre for Cognitive Science, Technical University of Darmstadt, Germany. 🇦🇺🇩🇪. pronoun.is/he
https://www.psychologie.tu-darmstadt.de/perception
https://www.psychologie.tu-darmstadt.de/perception
This is called “stereo blindness” and it is quite common: about 7% of people under 60. Multiple distinct mechanisms can cause stereo blindness.
pubmed.ncbi.nlm.nih.gov/30776852/
pubmed.ncbi.nlm.nih.gov/30776852/
The prevalence and diagnosis of 'stereoblindness' in adults less than 60 years of age: a best evidence synthesis - PubMed
We identify four different approaches that all converge toward a prevalence of stereoblindness of 7% (median approach: 7%; unambiguous-stereoblindness-criteria approach: 7%; visual-defect-included approach: 7%; multiple-criteria approach: 7%). We note that these estimates were derived considering ad …
pubmed.ncbi.nlm.nih.gov
November 8, 2025 at 6:50 AM
This is called “stereo blindness” and it is quite common: about 7% of people under 60. Multiple distinct mechanisms can cause stereo blindness.
pubmed.ncbi.nlm.nih.gov/30776852/
pubmed.ncbi.nlm.nih.gov/30776852/
Reposted by Tom Wallis
You also get the added benefit of being able to apply a continuous decision function rather than a step function like you get with an sesoi. Maybe not huge in psych but in contexts where you can map the effect to cost benefit it goes a long way to push forward uncertainty into decisions.
October 31, 2025 at 10:26 PM
You also get the added benefit of being able to apply a continuous decision function rather than a step function like you get with an sesoi. Maybe not huge in psych but in contexts where you can map the effect to cost benefit it goes a long way to push forward uncertainty into decisions.
Reposted by Tom Wallis
But here's, the thing, p values and significance become useless at such large sample sizes. When you're dividing the coefficient by the SE and the sample size is in the tens of thousands, EVERYTHING IS SIGNIFICANT. All you're testing is whether the coefficient is different than zero.
October 30, 2025 at 6:59 PM
But here's, the thing, p values and significance become useless at such large sample sizes. When you're dividing the coefficient by the SE and the sample size is in the tens of thousands, EVERYTHING IS SIGNIFICANT. All you're testing is whether the coefficient is different than zero.
Ok thanks for the tips!
October 29, 2025 at 10:35 AM
Ok thanks for the tips!
I’m wondering about the heat level for the finishing. Should the sauce be near boiling and the heat medium-high?
October 29, 2025 at 6:41 AM
I’m wondering about the heat level for the finishing. Should the sauce be near boiling and the heat medium-high?