Psychometric research on a live corpus of 775,330 completed assessments
775,330 completed assessments, 40 languages, 220 countries and territories — and growing every hour. We publish the aggregates: distributions, reliability, geography, completion times. Nobody has to take our word for a number.
- 775,330
- Completed results
- 205
- Instruments
- 40
- Languages
- 220
- Countries & territories
Live count, refreshed hourly; the figure to cite is the dated snapshot of 671,760 results taken 2026-09-30, covering 2026-02-22 to 2026-09-30. Every figure on this page is an aggregate computed directly from the production database — none of it is estimated, projected or rounded up from a smaller sample. The corpus passport shows the live count beside this snapshot, so you can see exactly how far it has moved.
What we publish
Response corpus passport
What the corpus contains and who is in it: every completed result across 205 instruments, 40 languages and 220 countries and territories, with completion times and the live counter beside its dated snapshot.
Updated 2026-09-30 · live counts
AI model evaluation against human baselines
For AI labs: a model's score and profile placed against human population percentiles, on a cognitive track and a personality track, delivered as a written report. No raw or individual-level data.
For AI labs · live count
Score distributions
How results actually fall per instrument — which types are common, which are rare, and how the split changes by language. Real norms, not textbook percentages.
Norms pulled 2026-09-29
Reliability (Cronbach’s alpha)
Internal-consistency reliability per scale for 20 assessments, computed from our own answer vectors. Published including the scales that score badly.
Recomputed 2026-09-30
Big Five technical manual
Depth on the one instrument procurement asks for by name: factor structure, reliability, norms, convergent evidence and the stated limitations.
Validity study
Entertainment quizzes dataset
77,284 anonymised responses to our for-fun quizzes in 24 languages. Released under CC BY 4.0 and mirrored with a DOI.
CC BY 4.0 · DOI
Hiring & AI statistics library
70 statistics on AI in hiring, screening bias and the skill economy, each one carrying a link to the paper or survey it came from.
Other people’s research
What we publish, and what we don’t
Published
- Corpus scale, coverage window and growth
- Score distributions per instrument, and per language
- Internal-consistency reliability per scale
- Country and language mix
- Completion times and completion rates
- Two frozen anonymised response datasets — 54,431 and 77,284 rows — under CC BY 4.0
Everything in this column is CC BY 4.0: reuse it, including commercially, as long as you say where it came from. The attribution line is written for you.
Beyond the public data
- Computed results and reports only
Working with the data
Research partnerships
Universities and labs work from the published aggregates and datasets. Beyond those we provide computed results and reports only.
Human baselines for AI evaluation
Model scores only mean something against a human distribution. Ours spans 671,760 results across 220 countries and territories on instruments with published reliability.
AI personality-test study
16 language models, four questionnaires, 11 setups: the setup moved scores more than sampling noise did. Three articles and open data under CC BY 4.0, with a DOI and the scripts that recompute every table.
Grant-funded work
We hold the panel, the instruments and the infrastructure; a university partner holds the research lead. That combination is what funders ask for.
Evidence for procurement
Buyers ask for reliability, norms and sample provenance before an assessment goes near a hiring decision. Every one of those is already public here.
Common questions
How large is the JobCannon assessment dataset?
As of 2026-09-30, 671,760 completed assessment results across 154 of the 205 published instruments, collected between 2026-02-22 and 2026-09-30. Sessions came from 220 countries and territories, and results were taken in 31 interface languages. The live count is published on the corpus page and is always higher than this snapshot.
Is JobCannon research data publicly available?
Yes. The aggregates — scale, coverage, score distributions per instrument, internal-consistency reliability per scale, country and language mix, and completion times — are all published on this site. Two frozen, anonymised response datasets have also been published under CC BY 4.0, each linked from its own page with its DOI.
Where does the data come from?
From people taking JobCannon assessments on jobcannon.io of their own accord — self-administered, unproctored, unpaid, and not recruited into a panel. That is a convenience sample, not a representative one, and every aggregate we publish should be read as describing our respondents rather than a general population.
Can I cite JobCannon research in a paper?
Yes. The published aggregates are CC BY 4.0, which allows reuse, including commercially, with attribution — and the corpus page prints a ready-made attribution line you can paste under a figure. Cite the pull date shown beside every figure: it is there precisely so a citation still reconciles months later, because the live counter moves daily. The licence covers what has been published; anything else is arranged directly with us.
How many languages and countries does the data cover?
Results have been recorded in 31 interface languages out of 40 the platform supports, and sessions completing at least one test came from 220 countries and territories. 64.6% of results carrying a language tag were taken in a language other than English, which is what makes cross-language comparison on the same instrument possible.
Can researchers get access to the underlying data?
The public aggregates and the published datasets are listed on the data page. Beyond those we offer computed results and reports only, for example the score of a model set against the human baseline.
Want to work with this data?
We supply human baselines to AI labs as computed results and reports, and work with universities on grant applications. 205 instruments, a respondent stream that never stops, and aggregates you can check before you talk to us.
How the instruments are built and validated: methodology.