Insight
What Makes Research Citable — by People and by Machines
Stable references, explicit dates, open licences and plain summaries determine whether research gets cited accurately, by readers and increasingly by AI systems.
Analysis
Insights
Shorter pieces on the craft of public evidence: how statistics are defined and misread, what separates correlation from causation, and what makes information trustworthy and reusable. The same sourcing standards apply as to our full research publications.
Insight
Five Questions to Ask Before Trusting a Statistic
A short checklist — source, definition, denominator, uncertainty, comparison — that catches most misleading numbers before they spread.
Insight
Why Definitions Decide Debates in Public Statistics
Unemployment, poverty, migration: in each case, the definitional choice — not the data collection — often determines the headline.
Insight
Correlation, Causation, and How Public Debate Confuses Them
Why associations mislead, the three classic mechanisms behind spurious findings, and what it actually takes to support a causal claim.
Insight
Open Data: The Promise and the Limits
Open publication makes verification and reuse possible — but openness alone guarantees neither quality nor privacy nor use.