Statistics.
P-values, power and intervals — the tools that keep confident nonsense out.
Articles
0
Quick Takes
0
Videos
0Soon
Podcasts
0Soon
Clarity Index
—Soon
Followers
—Soon
Statistics is the discipline that tells you how wrong you might be. Skipping it is how confident nonsense gets published — in journals and in broadcasts.
What this field actually measures
- p-value
Probability of data this extreme if the null hypothesis were true.
ReferenceThe conventional 0.05 threshold is a convention, not a law of nature.
LimitIt is not the probability that the hypothesis is true. It never was.
- Statistical power
Chance of detecting an effect that genuinely exists.
ReferenceReviews across biomedical and social fields repeatedly find median power well below the 80% target.
- Confidence interval
Range of values compatible with the data.
ReferenceFar more informative than a point estimate, and far less frequently quoted.
Evidence & metrics
The published work behind the numbers above, and the public datasets you can open to check us. If a claim can’t be traced here, we don’t print it.
Citations
ASA statement on p-values: context, process, and purpose
Wasserstein & Lazar — The American Statistician · 2016
A p-value does not measure effect size or the probability the hypothesis is true, and thresholds should not drive conclusions.
Why most published research findings are false
Ioannidis — PLoS Medicine · 2005
Low prior probability, small samples, and flexible analysis make a large share of published positive findings unreliable.
Datasets
Global Change Data Lab / University of Oxford · free
Sourced, downloadable long-run series across health, energy, and economics.
US Census Bureau · free
Population, economic, and survey microdata with published margins of error.
Still open
- How much published sport science is underpowered?
- Should effect sizes and intervals be mandatory in public sports reporting?
- What replaces null-hypothesis testing in applied settings?
What we won’t say
We will not call a result 'significant' as though that meant 'important.' The word has a technical meaning and a marketing meaning.
- VO-1Evidence before wit
- VO-2Punch at claims, never at people
- VO-3Say the uncertainty out loud
Everything published on this topic.
No articles have been published for Statistics yet. New long-form pieces will land here.
Everything published on Statistics.
The permanent record of every piece we publish under this topic — grouped by year, oldest kept as history.
Short reactions, polls, and open questions.
Faster than the long form. Same standard.
No quick takes match this filter yet.
Evidence, counterpoints, patterns, and the standard.
Every entry links back to its source article. Nothing duplicated.
Framework entries appear here as articles publish.
Open questions and measurable predictions.
We log the question, the confidence, and the review date. When the evidence moves, so does our position.
No active predictions are currently being tracked for this topic.
Coverage on screen.
Long-form, shorts, and playlists connected back to the source articles.
Video coverage is coming soon.
Coming SoonWe haven't published video on Statistics yet. Playlists, chapters, and shorts will surface here as they roll out.
Long-form conversations.
No podcast episodes yet.
Coming SoonWhen we publish podcast episodes on Statistics, each will link back to its source article.
Connected hubs.
Where this topic overlaps with the rest of the 2CS knowledge graph.
Explore Statistics
Every surface connected to this topic.
One permanent home per topic — the whole 2CS library on Statistics, indexed for readers and search engines alike.
- All Statistics articlesLong-form analysis and film breakdowns tagged Statistics.
- Statistics quick takesShort reactions, polls, and open questions on the record.
- Statistics in the 2CS Analysis FrameworkEvidence, counterpoints, patterns, and the standard.
- Statistics Future WatchPredictions we're tracking with confidence and review dates.
- Video coverageLong-form, shorts, and playlists — filter for Statistics coverage.
- Podcast episodesLong-form conversations that reference Statistics.
- Community investigationsReader-led inquiries connected to Statistics.
- Claims & evidence lockerEvery claim we've logged, with the evidence behind it.
- Statistics in the Knowledge GraphHow this topic connects to people, teams, and events.
Related topics
Where Statistics overlaps.
Full index
Browse every topic.
Every permanent home in one place — grouped by league, discipline, and idea.
All topicsThe conversation, on the record.
Community discussion is coming soon.
Coming SoonA dedicated space for readers to discuss this topic will live here — moderated to the same standard as the editorial.
Follow Statistics.
One weekly dispatch. Signal over noise. No spam.
No spam. Unsubscribe anytime.