#statistical analysis
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voraciousopolis.bsky.social
By my own statistical analysis this post is now funnier than anything Gervais has done in the last 20 years and it also didn't even directly come from him.
January 12, 2026 at 1:39 PM
sifu.tweety.fish
one of the things about statistical analysis of any modern big model is that there's SO MUCH potential statistical power and SO MUCH noise. The fact that they work at all without catastrophic overfitting is sorta of a mystery, as is the fact that they keep improving even with bad benchmark targets
January 9, 2026 at 1:27 PM
aabsurdity.bsky.social
Two bars in the graph. Statistical analysis president... Surprised they didn't give him crayons to colour it in.
January 9, 2026 at 5:23 PM
joreno95.bsky.social
Has anyone did any statistical analysis on how anti probable cause dhs actions in Minn are or we just letting them use the veneer of immigration enforcement to do other things that wouldn’t be allowed in the first place since that’s scary
January 12, 2026 at 4:39 PM
owlernook.bsky.social
Someone on Reddit has done a quick-and-dirty statistical analysis.

www.reddit.com/r/TheTraitor...
From the TheTraitors community on Reddit
Explore this post and more from the TheTraitors community
www.reddit.com
January 9, 2026 at 12:18 PM
mzloteanu.bsky.social
#statstab #460 Invalid Conclusions Built on Statistical Errors

Thoughts: It's easy to make analysis mistakes, providing code should be the norm.

#analysis #pseudoreplication #error #design #code #guide #educational

steveharoz.com/blog/2024/wr...
Invalid Conclusions Built on Statistical Errors
When you see p = 0.003 or a 95% confidence interval of , you might assume a certain clarity and definitiveness. A null effect is very unlikely to yield those results, right? But be careful! Such overl...
steveharoz.com
January 9, 2026 at 7:56 PM
rmcelreath.bsky.social
This is what research data analysis is like, and it's about time we started supporting it
slide titled "Real Dirty Bayesian Workflow" showing a complex statistical workflow with multiple causal models, statistical models, data sets, and post-sampling comparisons and constructions
January 5, 2026 at 6:14 PM
jama.com
Kendra D. Sims, PhD, postdoctoral associate in epidemiology, Boston University, discusses Tipping Point Analysis: Assessing the Potential Impact of Missing Data with JAMA Statistical Editor Roger J. Lewis, MD, PhD. ja.ma/3MUGztN
January 8, 2026 at 5:15 PM
michelnivard.bsky.social
For statistical analysis a good basic test is: simulate data with known relationships, then make sure the code retrieves those. Rerun the validation after code updates. If you use github, you can have it run the test every time you build the package or when you commit, print the test results.
paulgp.com Paul Goldsmith-Pinkham @paulgp.com · 5d
In answer to “how do you make sure LLMs don’t do stupid stuff”: write tests
January 7, 2026 at 10:39 PM
meteomabe.bsky.social
Are you interested in tornadoes in Germany (temporal+spatial distribution) you should read our recently published paper. It is the first detailed statistical analysis since the paper of Dotzek (2003). Would be happy to learn about statistics in other European countries!
doi.org/10.1127/metz...
January 6, 2026 at 9:53 AM
serisothikos.bsky.social
i ran a statistical analysis and it looks like you've consumed too much haterade
January 5, 2026 at 3:50 AM
ralfwittenbrink.bsky.social
klinische Studien durchgeführt werden sollten, in denen allgemein verfügbare und kostengünstige Medikamente, die die Mitochondrienfunktion fördern, zur Bekämpfung der Immunsuppression nach COVID durch Modulation des Immunstoffwechsels eingesetzt werden. Schließlich sind wir der
Figure 4: Metabolic analysis at the cell population level reveals post-COVID elevations in glycolytic enzymes but diminished OXPHOS enzyme levels in memory T cells. A.) Metabolic enzyme targets quantified in flow cytometry (MetFlow). Specific targets are in red boxes. B-C.) Post-COVID elevations in HK1 (glycolysis) and ACAC (fatty acid synthesis) and decreased expression of ATP5a (OXPHOS) in memory T cells after VZV antigen stimulation. D- E.) Higher HK1 expression in SA antigen-stimulated CD4 memory T cells post-COVID. F-G). Elevated HK1 expression and TKT expression (both glycolysis enzymes) in IAV-stimulated memory T cells after COVID. H-I.) Connectivity between metabolic pathways (% enzyme or activation marker positive memory T cells) is lost post-COVID in both CD4 (H) and CD8 (I) memory T cells. The loss of connectivity is more pronounced in CD4 memory T cells. Blue arcs: positive correlation; red arcs: negative correlation. J.) Eigenspectrum neural network analysis of statistical connections within CD4 and CD8 memory T cells finds a group-specific pre- vs. post-COVID signature. K.) Feature distribution map differentiates pre- vs. post-COVID memory T cell phenotypes. Blue: post-COVID; red: pre-COVID. The top 13 features explain the majority of statistical variation between pre- and post-COVID groups (overlay). Filled histograms: post-COVID; open histograms: pre-COVID. Graphs show mean +SEM. *p<0.05, **p<0.01 by paired Student's t test in n=24 samples. H, I: chord diagrams of Spearman correlations in % of memory T cells positive for the specified marker. J, K: data from B-I used to generate feature maps using Boltzmann Brain analysis. Feature maps show clear segregation of biomarkers differentiating pre-COVID (CD137°, HLA-DRhi, PD1o, GLUT1hi) from post-COVID (CD137hi, HLA-DRo, PD1hi, GLUT1'°) T cell states.
January 7, 2026 at 1:45 PM
danielemarinazzo.bsky.social
A hitchhiker’s guide to information theoretical measures in psychology

by @nielsvs.bsky.social with me and Yves Rosseel

authors.elsevier.com/c/1mOwr53na-...

osf.io/preprints/ps...
A hitchhiker’s guide to information theoretical measures in psychology Niels van Santen, Yves Rosseel, Daniele Marinazzo https://doi.org/10.1016/j.jmp.2025.102969 Highlights • Information theory and psychology have a rich history • Information theoretical measures can be disconnected from information theory • These measures complement variance-based measures of variability and association • They are more general with respect to interpretation and possible data types • There are many extensions towards the investigation of higher-order interactions. Abstract In psychology, as in other sciences, information theory can be used as a tool to complement more standard regression-based methods of data analysis. It is important to see the potential of information theoretical measures as statistical tools without implying a connection to their origins in communication theory and engineering. The use of these measures may provide us with additional insights due to their sensitivity to non-linear relationships, their flexibility to the mixing of data types, and their more straightforward generalization towards investigating higher-order interactions. We briefly reintroduce information theory and compare several measures such as mutual information and co-information with correlation and regression-based methods for the investigation of variable dependence.
January 7, 2026 at 9:02 AM
jack.quartztz.com
FINALLY DONE OH MY GOD

somehow, doing statistical data analysis on bad data is worse than building verified rust for the linux kernel. crazy but true.
jack.quartztz.com Γ ⊢ quartztz : bnuy @jack.quartztz.com · 8d
funnily enough, the "free credits" class i took for fun and curiosity turned out to be
- not fun
- uncurious
- not free credits

what a way to end a degree
January 6, 2026 at 10:03 PM
byrdnick.com
If a statistical test always gets produces the same result and if its results are often (usually?) described fallaciously, should the test be abandoned?

If so, we may need to abandon p-curve analysis:

replicationindex.com...

#stats #psychology #philSci #metascience #sciComm
What a Decade of P-Curve Tells Us About False-Positive Psychology - Replicability-Index
The File-Drawer Problem A single study is rarely enough to provide sufficient evidence for a theoretically derived hypothesis. To make sense of inconsistent results across multiple studies, psychologists began to conduct meta-analysis. The key contribution of meta-analyses is that pooling evidence from multiple studies reduces sampling error and allows for more precise estimation of effect
replicationindex.com
January 7, 2026 at 12:33 PM
compbiologist.bsky.social
I'm looking forward to re-teaching:
Rethinking Data Analysis — A researcher’s guide to avoiding missteps and misuse

This is an advanced short course on developing a mental toolkit for rigorous practice & critical consumption of statistical data analyses. 🧵 1/4
HMGP 7622 Rethinking Data Analysis — A researcher’s guide to avoiding missteps and misuse Feb 3 – May 5, 2026 | Tue 2–3:30p OVERVIEW This is a short (1-credit) course designed to: 1) Discuss common misunderstandings & typical errors in the practice of statistical data analysis. 2) Provide a mental toolkit for critically thinking about statistical methods and results. TOPICS Estimating error, uncertainty • Underpowered statistics • Multiple testing • P-hacking • Pseudoreplication • Regression to the mean • Double dipping • Spurious associations • Visualization challenges • Reproducibility, replicability PREREQUISITES 1) Introductory knowledge of statistics & probability 2) Introductory experience with data wrangling, analysis, & visualization using R/Python. INSTRUCTOR Arjun Krishnan Associate Professor, Department of Biomedical Informatics University of Colorado Anschutz Medical Campus arjun.krishnan@cuanschutz.edu | @compbiologist | thekrishnanlab.org
January 8, 2026 at 5:29 PM
animalculum.bsky.social
Shelled #amoeba crawls like an octopus, shifting tactics on the go phys.org/news/2026-01...

Statistical and mechanical analysis of multi-pseudopodial locomotion in a testate amoeba, #Arcella sp. www.jstage.jst.go.jp/article/pjab...

#Protists #Microbes #Amoebae
microscopic photos of a moving amoeba in a hemispherical shell
January 7, 2026 at 7:26 AM
kylerudy.com
For sure. I want better language to describe the difference between passionate work, like performing statistical analysis on these volunteered datasets for informative purposes, and extractive work, like charging people 50k if you find them a long-term partner with your digital phrenology.
January 7, 2026 at 1:56 AM
stephenjacobsmith.com
“I went back to my statistical analysis of building violation data, and saw distinct patterns: areas with greater numbers of owner-occupied properties receive fewer violations per 311 request than those with more rental properties.“
do so. The truth is, Malcolm had no idea who was to blame for the sharp fence, nor who would be responsible for fixing it. But out of concern that the owner of the single-family home would face negative consequences he decided not to take the matter further. Malcolm's effort to protect this single-family building was a stab at justice. As we saw in chapter 3, stabs at justice comprise small and immediate acts of leniency or punishment that are motivated by perceptions of the stacked deck. Like his colleagues, Malcolm tries to help out owner-occupied properties when he can by protecting them from the costs and hassle of repairs. This has been the case for at least ten years, and across the city. I went back to my statistical analysis of building violation data, and saw distinct patterns: areas with greater numbers of owner-occupied properties receive fewer violations per 311 request than those with more rental properties.' This means that even if two neighborhoods get the same number of 311 requests about buildings, the one with more owner-occupied housing-from single-family homes to condos-would have fewer recorded building violations. In contrast to rental buildings, building inspectors go easy on owner-occupied properties, shielding them from the headache of recorded violations. Inspectors' decisions to protect property owners align with historical and sociological accounts that document the valorization of homeownership in US society.? For many, homeownership is the crowning point in achieving the American Dream-something that the media, cultural rhetoric, government policy, and even the tax system teach us to aspire to and protect. But inspectors do not treat all owner-occupied properties equally. As this chapter demonstrates, inspectors show the most leniency to owner-occupied buildings whose owners they believe struggle with upkeep. The chapter also takes us to changing neighborhoods to see how these contexts-and the precarity in which inspectors believe they …
January 7, 2026 at 4:47 PM
carolynurban.bsky.social
then there's this - a statistical analysis of election results - about 25 - 30 minutes, well worth watching. Bottom line: swing state voting patterns do not look like human activity - they look like graphs of machine activity.
youtu.be/AWSWqn7UHYM?...
Election Discrepancies: Unveiling the Truth, Nathan Taylor from Election Truth Alliance
YouTube video by The Mark Thompson Show
youtu.be
January 5, 2026 at 2:18 AM
nathanielforde.bsky.social
New tutorial: Bayesian Dynamic Path Analysis in @pymc.io

Why do New Year's resolutions fail so reliably? The statistical answer involves time-varying causal effects and masked mediation.

Full tutorial (code + math + Odyssey metaphor): nathanielf.github.io/posts/post-w...

🧵 Thread Below
January 4, 2026 at 11:00 PM
tinydimlight.bsky.social
I am currently in lesson 22 out of 27, and it is perfect.
The app teaches you programming from the very zero with very basic stuff.
I am not a complete 0, since I learned some statistical analysis with Python and R back in my college days, but I was very bad at it, and it was a long time ago.
January 6, 2026 at 7:50 PM
pookleblinky.bsky.social
That helpful chatbot, drawing on the statistical analysis of a quarter century of online jokes about buying serial killer paraphernalia at Home Depot, will regurgitate output statistically similar to those jokes about buying serial killer paraphernalia at Home Depot.
January 2, 2026 at 5:45 PM
nathanfavero.com
My latest post: Why old school regression diagnostics are probably worth running... we really should check our variables for outliers, skew, multicollinearity, etc. open.substack.com/pub/nathanfa...
Brittleness: A new concept for statistical modeling Factors like small samples, multicollinearity, and outliers may not themselves break our models, but they create conditions where a break can be dramatic When learning statistical tools for empirical analysis, many of us were... nathanfavero.substack.com
January 5, 2026 at 12:53 PM
jorin.se
Kinda curious if the same principles as LLMs could be used for classification of music, or for other kinds of statistical media analysis/classification? I'm not at all well versed in how they work, but it seems to me there could be a parallel there.
January 5, 2026 at 1:56 PM