The Methods Section publishes essays focused on science literacy. Some pieces examine how scientific knowledge is built and interpreted. Others take a closer look at what evidence actually supports when scientific claims circulate in public conversation.
Applied
The 10,000-step daily target appears on fitness trackers, in public health campaigns, and in the default settings of virtually every step-counting app. A closer look at where the number came from and what the research actually shows.
Applied
“Activates your brain’s reward system” sounds precise. An examination of what that phrase actually measures—and why it rarely tells you what health claims imply.
Meta
Clinical trials happen in phases for a reason. An exploration of what Phase I, II, and III trials are designed to test—and what early results cannot yet establish.
Applied
Genetics coverage keeps finding 'a gene for' everything. The science tells a more complicated story. A closer look at what that framing gets wrong—and why it matters.
Applied
Headlines declare cancer breakthroughs regularly. Most of them describe findings that are years—or decades—away from helping patients. A closer look at what early-stage cancer research actually shows, and what gets lost in translation.
Meta
A new study makes headlines, and the guidelines don't change. A closer look at why the lag between research and clinical recommendations is intentional—and what it takes for evidence to actually shift practice.
Meta
Scientific recommendations keep changing, and it feels like experts can't make up their minds. An exploration of why this happens, what separates genuine revision from flip-flopping, and how to interpret changing guidance more carefully.
Applied
Mouse research has powered major medical advances. It has also led to many promising ideas that never worked in humans. A closer look at when mouse studies are useful and when headlines get ahead of evidence.
Meta
Health studies often report clear results—but those results don’t apply equally to everyone. A closer look at how study design limits generalizability and how to read health claims more carefully.
Meta
‘Statistically significant’ sounds definitive—but it's not the same as large, important, or clinically meaningful. A closer look at what the term actually measures, why it's so often misunderstood, and how to read research claims more carefully.
Applied
Biomarkers dominate headlines and health claims, but a change in a biomarker is not the same thing as a change in health. An examination of what biomarkers actually measure, when they reliably predict patient outcomes, and why promising results often fail to translate into real benefits.
Meta
Scientific headlines often hinge on a single study, promising clear answers. But individual studies are designed to answer narrow questions, not deliver universal truths. An exploration of why replication matters, how evidence accumulates, and how to read new research more carefully.