That’s exactly what was done here. Ai wrote the code. Not everyone who teaches stats in high school knows how to code in R. Now they can code simple things like this using their native language.

In a coin toss, the probability of heads is taught to be half. Is it really? In this preprint, I argue that helping students understand statistics better entails explicit and sustained inclusion of the observer-relative reality of randomness in your pedagogy. #education #STEM doi.org/10.35542/osf...

Autism, Bayesian probability, and why we do what we do - Significance magazine Statisticians can apply their trade anywhere it’s needed, bringing benefits to friends, family and the wider world. Find out how one statistician and father used his training to help improve...

Sharing this essay I wrote that's just been published in @significancemag.bsky.social about loving the things we do, especially when those things involve the people we love. I hope you enjoy it. significancemagazine.com/autism-bayes...

YES! #stat #statsky #research #researchsky #statistics #pvalues #science #sciencesky

Absence of evidence is not evidence of absence – and that affects what scientific journals choose to publish Researchers design studies that might disprove what’s called their null hypothesis – the opposite of the claim they’re interested in exploring.

"Absence of evidence is not evidence of absence." Comprehending this one statement can clear up a host of misunderstandings about how null hypothesis testing works and why failure to reject the null hypothesis does say less than rejecting it. doi.org/10.64628/AAI...

The idea of "Wisdom of the Crowd" may seem strange at first glance, until you realize that the historical foundations of the Gaussian distribution is based on observations of human measurement error. Then, the idea becomes quite... Normal. #Statsky #statistics #edusky

He-Man gives advice. "Causal relationships CAN'T be proven using observational data. Acting on association as causal is ALWAYS a leave of faith. Be skeptical, but not too skeptical. Until next time!"

"Association does not imply causation" is the truth and continues to be an important mantra in the practice of statistics. What does it actually mean? Can we prove causal relationships using observational data? If no, does it mean that detected associations are useless? #statssky #causalinference

#141 Balanced Examination of Positive Publication Bias, Sat, Oct 18, 2025, 8:30 AM | Meetup Dr. Mark Ramos will examine the conventional view that positive publication bias, favoring statistically significant findings, is inherently detrimental to research quality

Join me on 10/18/25 as I talk about ubiquitous bias for publishing statistically significant results in peer-reviewed journals and why it's not the boogeyman it is made out to be. The event is virtual, free and hosted by the R Users Group - PH. Register now! #science www.meetup.com/r-user-group...

Happy to share that one of my most enduring insights from over two decades of teaching statistics and mathematics subjects is now published in Statistics Teacher by @amstatnews.bsky.social. #statsky #STEM #STEAM #education #mathed #iteachmath
www.statisticsteacher.org/2025/09/25/p...

What parents need to know about Tylenol, autism and the difference between finding a link and finding a cause in scientific research Trump’s definitive statements that Tylenol use during pregnancy causes autism suggest certainty that the science does not support.

All parents want the best for their child. Thus, the issue on Tylenol use & autism risk is so consequential. It's important to communicate the science objectively, thoroughly & compassionately. Put yourself in the shoes of the pregnant mom suffering from a fever. theconversation.com/what-parents...

Our latest paper on drivers of HPV vaccination rates is now published in Vaccine. #science #sciencesky #research #researchsky #hpv #vaccine doi.org/10.1016/j.va...

That weakness may have been inherited from the training data. What proportion of people that you meet have the ability to admit that they don't know? I don't know.

For my fellow Dungeons and Dragons fans who may taking a #statistics course this semester. This will come in handy when the time comes to learn hypothesis testing. #DnD #D&D

They say MTG has been dying since 1995. :D

Just finished Eyes of Wakanda and can say that it soundly makes up for both What if...? Season 3 and Season 2.

A screenshot of the August Time Series article

There are many “statistically significant” birthdays in August, including the term “artificial intelligence,” coined in August 1955. Read about more historical happenings in August’s This Month in Statistics History: magazine.amstat.org/...

Balanced examination of positive publication bias impact Positive publication bias is the tendency to favor studies that reject null hypotheses for publication and is widely regarded as detrimental to research enterprise quality. However, this view overs...

For more information, read our #openaccess paper in @accountabilityair.bsky.social here: www.tandfonline.com/doi/full/10....

Curious how #publicationbias shapes scientific record? This Shiny app shows hypothetical distributions of published papers across levels of bias. Play with assumptions on the research landscape and how researchers behave to see what happens. #science #statsky #bias levelalpha005.shinyapps.io/shiny1/

Clinical trial biostatisticians do hypothesis testing differently than what you learned in Stats 101 - and you should pay attention! | Justin Bélair posted on the topic | LinkedIn Clinical trial biostatisticians do hypothesis testing differently than what you learned in Stats 101 - and you should pay attention! You see, there is so much discussion around the idea that statisti...

For sure. Sample size does get larger the smaller the effect assumed. I think your paper can benefit from including more context on how expensive clinical trials get wrt sample size. Small world, I saw Adrian's graphic on linkedin and discussed suggestions with him. www.linkedin.com/feed/update/...

Thank you. Yes, it is an easy mistake to make. I like to say the problem with statistics isn’t that it is hard to understand, but rather that it is so easy to misunderstand.

"On the other hand, if researchers and publishers are competent, good faith actors and the only risk in positive publication bias comes from inflation of type 1 error rate by chance, ....(we) show that the negative impact is outweighed by the much larger improvement in true positive rates."

Plus, people are free to propose other frameworks. Bayesian inference is one example. It isn't strictly better than a frequentist approach, but neither is it strictly worse. As always, context is key. Whatever you propose, it must be open to scrutiny on such matters as t1 & t2 error rate control.

Statistical evidence is not the only piece of evidence. Your sample mean, odds ratio, etc. do not change if a hypothesis test fails to reject Ho. We only offer a reasonable framework backed by ways to control type 1 error rate and power in the context of uncertainty and sample variability.

That's why clinical trials have different stages. Earlier stages may be looking for any effect, but later stages (as mentioned in the paper) set standards for clinical relevance using various, non-statistical bases (i.e. they test that the effect is at least larger than this or it does not pass).

pvalues and ci's are two parts of the same inference. Both are taught, used, and often misunderstood. The truth value of hypotheses are typically unknown even after one has made a decision. Best we can hope for is to have some control over our error rates, which is why we set alpha for t1 error.

In this paper, I discuss an often misunderstood aspect of inference that can trip up even seasoned researchers. If you wonder what "practical significance" means in #statistics, I guarantee you that reading this will make you a better scientist. #statsky #StatsSky #science doi.org/10.1093/jrss...

Had a lot of fun doing this talk at #JSM2025. The transformed and relative Lorenz curves are available for use in the glorenz R package. #statsky #StatsSky #datascience #dataliteracy #jsm cran.r-project.org/web/packages...

Today I will be presenting our recently published paper on New Graphical Displays and Related Statistical Measures of Health Disparities Among Groups. Hope to see you there! (CC-210, 2pm-3:50pm). #JSM #JSM2025 #statsky #StatsSky #statistics. academic.oup.com/jrsssa/advan...

#jsm2025 kicks into high gear! So many exciting sessions to watch. What session are you looking forward to? Let’s gooooo! #jsm #statsky #statssky

Awesome estimathon game by #janestreet at #jsm. #jsm2025 #statssky. We were team two sided XD.