How to Read a Meta-Analysis: What Pooling Studies Can and Cannot Fix
Meta-analyses sit at the top of the evidence pyramid, but pooling inherits every flaw of the studies it combines — heterogeneity, publication bias and garbage in.
Research
Research reads health studies properly: design, effect sizes, and the difference between a finding and a headline.
New discoveries and studies with professor/expert commentary — 'профессура и экспертность' vertical
Linked to Lower Risk: How to Read an Observational Study Before It Becomes a Headline
Most nutrition and lifestyle news comes from cohort data that can only report associations — here is how to extract what such studies honestly show.
Who Paid for the Study? How to Read Funding and Conflict-of-Interest Disclosures
Industry funding skews research results in measurable, documented ways — and the disclosures at the bottom of a paper tell you which way to lean your skepticism.
Retractions: How Scientific Papers Die and How to Check Before You Share
Thousands of papers are retracted every year, yet retracted studies keep circulating in news feeds and policy debates — a two-minute database check settles which.
Cohort Study or Randomized Trial? Why the Design Behind a Finding Changes the Claim
Observational cohorts can follow half a million people for decades; randomized trials can isolate a single variable — knowing which design produced a headline tells you what it can honestly say.
What a p-Value Can and Cannot Tell You About a Health Headline
A p-value measures how surprising the data would be if nothing were going on — it says nothing about size, importance, or whether the finding is true.