Reading the evidence

Who funded the study? That single question can change how you read almost any cannabinoid or phytomedicine research. Here's how to spot funding bias.

Confounding variables are the reason a convincing study can still be wrong. Here's how to spot them — and why it matters in plant-based medicine research.

How clinical trials move from the lab to patients: preclinical work, the phases, regulator review and why the process takes time, in plain language.

Meta-analyses pool data from dozens of studies — but the method has real limits. Here's how to read one without being misled by the headline.

Observational studies vs RCTs answer different questions. Knowing which is which changes how much weight you should give any headline claim.

Placebo, blinding and bias shape how every trial result reads. Learn how study design can inflate findings and what to check in a methods section.

Preclinical research and clinical trials are not the same thing. Here's how to tell them apart — and why that gap matters more than most headlines let on.

Publication bias shapes what science "knows". Here's how pre-registration works, why it matters, and how to spot studies that may have moved the goalposts.

RCTs are the gold standard for testing whether something works — but they have real limits. Here's how to read them without being fooled.

Systematic reviews sit at the top of the evidence pyramid — but only when done well. Here's how to read one without being misled by headlines.

RCT data and real-world evidence each tell a different story. Here's how to read both without getting fooled — and why the gap between them matters.

Sample size and statistical power shape whether a study's results mean anything at all. Here's how to spot the difference between signal and noise.

Surrogate endpoints sound rigorous — but they often aren't. Here's how to tell whether a study measured something that actually matters.

A plain-language introduction to the endocannabinoid system, the body's internal signalling network and the reason cannabinoids interact with us at all.

Not all studies are created equal. Here's how to read the hierarchy of evidence without getting fooled by headlines, hype, or a single promising trial.

Clinical trials run in phases for good reason. Here's what each one actually tests, why they take so long, and how to read the evidence without being misled.

Statistical significance explained: what p-values, sample sizes and confidence intervals mean, and how to read study headlines more honestly.

What investigational means in drug regulation: a plain guide to phases, TGA pathways and how to read the word in cannabinoid and peptide research.

Anecdotes feel compelling, but they're not evidence. Here's how to spot the difference — and why it matters when you're reading cannabinoid or phytomedicine research.