Courses
Science & nature Ideas & discovery

How to read scientific claims and studies with confidence

Make sense of science in the news without a science degree.

Match the conclusion to the study design, population, comparison and uncertainty. A result can be informative without proving a cause, and a large sample does not repair a biased comparison. Start by reconstructing what was actually measured.

Want new features first?

Start with three things you can do today

A starting goal

I want to understand how scientific studies support a claim. Teach me about experiments, correlation, uncertainty, and replication so I can make better sense of science in the news.

Change any word so it fits your situation. The course is built from what you type and a few setup questions.

Start today

Three things you can do before the course exists.

Useful on their own. The course is for when you want the whole skill, not just the first move.

  1. Calculate an invented result

    In a fictional study, sixteen of twenty people who chose a study app passed a quiz, compared with twelve of twenty who did not choose it. The observed rates are 80% and 60%, a difference of twenty percentage points. These are teaching numbers, not Cadence results.

  2. Test the causal headline

    Does this prove the app caused the difference? No. The groups chose differently and may already differ in prior knowledge, study time or motivation. The numbers describe an association in these groups. They do not tell us what would have happened to the same learners without the app.

  3. Ask what a stronger account would report

    Look for how people entered groups, their starting points, missing outcomes, the exact quiz and uncertainty. Random assignment can strengthen a causal comparison, but execution still matters. Observational research can also contribute to causal reasoning with appropriate designs and assumptions. Repetition adds useful evidence only when the methods and findings withstand scrutiny.

Best for
Science & nature
Prerequisites
None. Bring the situation you have.
Course length
7 to 30 lessons
Pace
Yours. One lesson at a time, as often as you like.
Format
Read it, or play the audio
Access
Available on the App Store and Google Play, with an optional early testing list

Before the course is built

Setup asks about your situation first.

Lesson 1 opens on the moment you describe, and the examples use your role. For this request, expect questions like these.

  1. Where do you meet science claims: health news, nutrition, psychology, climate, technology?
  2. Have you changed your behavior because of a study that later reversed?
  3. How comfortable are you with basic statistics like averages and percentages?

Right for now

If any of this sounds familiar, start here.

Coffee is good, then bad, then good

Every week reverses the last and you have stopped believing any of it.

You cannot judge a study

Sample size, control group and p-value are words without weight.

You want to trust science without being credulous

Some findings deserve belief and some do not, and you would like to tell which.

Course arc

Where the course goes, in order.

Cadence writes the lessons for you, so the exact path follows your answers. This is the ground a course built from this sentence covers.

01 / 06

How science reasons

Hypotheses, evidence and provisional conclusions.

Kinds of study

Compare experiments, cohorts and surveys, including the assumptions each conclusion needs.

Correlation and cause

Why they differ, and the ways researchers try to bridge them.

Uncertainty and significance

Sample size, error bars and what significant does and does not mean.

Replication

Examine whether a repeated finding survives suitable methods and different contexts.

From headline to finding

Tracing a news claim back to the study and judging it.

What changes

What you will be able to do, and what you will stop believing.

You will be able to

Understand how a study supports a claim

Know what an experiment, a survey and an observational study can each establish.

Read correlation and uncertainty

Tell association from cause, and know what an error bar is telling you.

Ask the right questions

Evaluate a headline with a short checklist.

Ideas this course corrects

A control group automatically proves causation

The comparison must address plausible alternative explanations. Selection, measurement problems and missing data can still matter.

Many agreeing studies create absolute proof

Quality, independence, consistency and applicability matter. Confidence can increase while limitations and uncertainty remain.

Course questions

What to know before you start.

How to read scientific claims and studies with confidence: what can I do today?

Calculate an invented result. In a fictional study, sixteen of twenty people who chose a study app passed a quiz, compared with twelve of twenty who did not choose it. The observed rates are 80% and 60%, a difference of twenty percentage points. These are teaching numbers, not Cadence results. Test the causal headline. Does this prove the app caused the difference? No. The groups chose differently and may already differ in prior knowledge, study time or motivation. The numbers describe an association in these groups. They do not tell us what would have happened to the same learners without the app. Ask what a stronger account would report. Look for how people entered groups, their starting points, missing outcomes, the exact quiz and uncertainty. Random assignment can strengthen a causal comparison, but execution still matters. Observational research can also contribute to causal reasoning with appropriate designs and assumptions. Repetition adds useful evidence only when the methods and findings withstand scrutiny.

Is this a fixed course?

No. Cadence builds the course when you type the sentence and answer a few setup questions, so the lessons follow your situation. This page describes what a course built from this request covers. You see the whole path before Lesson 1.

Who is this course for?

Match the conclusion to the study design, population, comparison and uncertainty. A result can be informative without proving a cause, and a large sample does not repair a biased comparison. Start by reconstructing what was actually measured. It sits under Science & nature in the Ideas & discovery part of the library.

Do I need any prior experience?

No. Setup asks what you already know and where you want to use it, and the course starts from there. Bring a real situation if you have one; the examples are built around it.

How long does it take?

Most courses run 7 to 30 lessons. The course length is sized to what you asked for. You set the pace: one lesson at a time, as often as you like. Lessons can be read or played as audio.

Does this course award a certificate or degree?

No. Cadence is for practical self-learning and does not award accredited degrees or professional certification.

Start today

Type it, answer a few questions, open Lesson 1.

A starting goal

I want to understand how scientific studies support a claim. Teach me about experiments, correlation, uncertainty, and replication so I can make better sense of science in the news.

Want new features first?