Keto made easy

Observational Studies vs Randomized Trials

An observational study shows that two things tend to go together; a randomized trial assigns people to a treatment by chance, so it can test whether one thing causes the other.

On this page

The difference in one table

Observational (cohort) study Randomized controlled trial (RCT)
Who decides what people eat or take The people themselves Chance (randomization)
Typical size Tens of thousands Dozens to a few thousand
Typical length Years to decades Weeks to a few years
How intake is measured Questionnaires, sometimes one urine sample Assigned, sometimes provided
What it can show Association ("linked to") Cause, for the outcome measured
Main weakness Other differences between groups Short, narrow, hard to stick to

Why observational studies can mislead

People who choose a habit often differ in other ways. Someone who takes a vitamin every day may also see a doctor more, smoke less or already be ill and trying to help themselves. These hidden differences are called confounders.

Researchers adjust for the confounders they know about. They cannot adjust for the ones they did not measure.

Measurement is the other weak point. O'Donnell et al., 2014 (PURE) followed 101,945 people in 17 countries, but estimated sodium intake from a single morning urine sample. See the PURE sodium study explained and sodium on keto.

Why trials can miss things too

Randomization balances the groups, so a difference at the end is likely due to the treatment. But trials have their own limits:

Example 1: multivitamins, where the two disagreed

Study Type Who Finding
Mursu et al., 2011 Observational (Iowa Women's Health Study) 38,772 older women Multivitamin use associated with slightly higher total mortality (HR 1.06)
Gaziano et al., 2012 RCT (PHS II) 14,641 male physicians 50+, median 11.2 years Daily multivitamin gave a modest reduction in total cancer (HR 0.92)
Sesso et al., 2012 RCT (PHS II) Same trial No reduction in major cardiovascular events (HR 1.01)
Khan et al., 2019 Umbrella review of 277 trials Many trials pooled Most supplements, multivitamins included, had no significant effect on mortality or cardiovascular outcomes

How to read this: the cohort found slightly higher risk among women who took multivitamins. The trial in men found a small cancer benefit and no heart benefit. They studied different people, measured different outcomes and used different designs, so they are not direct contradictions.

The cohort cannot say whether the vitamins caused anything; the women who took them may have differed in other ways. The trial cannot say what happens in women. Taken together with the umbrella review, the overall picture is no clear effect on death or heart disease. More in vitamins on keto and do multivitamins work?.

Example 2: fiber, where they point the same way

Study Type Finding
Reynolds et al., 2019 Comparison of highest vs lowest fiber intake 15–30% lower all-cause and cardiovascular mortality, heart disease, stroke, type 2 diabetes and colorectal cancer; largest reductions at 25–29 g/day
Aune et al., 2011 Prospective studies Each 10 g/day of total fiber associated with about 10% lower colorectal cancer risk
Threapleton et al., 2013 Prospective cohorts Each 7 g/day of total fiber associated with 9% lower cardiovascular and heart disease risk
Brown et al., 1999 67 controlled trials 2–10 g/day of soluble fiber gave small, significant falls in total and LDL cholesterol
Zhao et al., 2018 Randomized trial in type 2 diabetes A high-fiber diet promoted certain gut bacteria; HbA1c improvement tracked their increase

How to read this: the large cohort studies link more fiber with lower disease risk. The trials cannot run long enough to count heart attacks or cancers, but they do show fiber changing cholesterol and blood sugar markers in the expected direction. When cohorts and trials agree like this, confidence is higher than either gives alone.

The percentages here are relative. "15–30% lower" compares the highest and lowest fiber groups, not your own odds. See relative vs absolute risk, fiber on keto and soluble vs insoluble fiber.

How to weigh them

  1. One cohort study alone: a reason to look closer, not a reason to change your diet.
  2. One trial alone: strong evidence for that population, that dose and that time span.
  3. Cohorts and trials agree: the strongest case available for most diet questions.
  4. They disagree: check whether they studied the same people, the same dose and the same outcome before deciding one is wrong.

KetoDick on this: he warns against confirmation bias, saying a keto forum will answer every question with keto, and suggests some forum weight loss may come from tracking, meal prep and paying attention rather than from keto itself (video 1m1hPgaRIg4). That is a confounder in plain terms: something other than the diet that changed at the same time. He also says the research stands apart from the personalities who promote it (video 1JbK1_ClDmY).

If a study leads you toward a supplement and you take blood pressure medication or have kidney disease, check with your doctor first, especially for potassium or magnesium.

Guide: Chapter 12: Reading nutrition news and studies · How to read an abstract · Diet headlines · Red flags in diet advice · Fiber on keto · Vitamins on keto · Sodium

Blog: Do multivitamins work? · The multivitamin memory study · The PURE sodium study explained · Soluble vs insoluble fiber · Relative vs absolute risk

Videos: Keto is dangerous and warnings from friends · Men's Health hack job on keto

Last verified: 2026-10-31