🎓 Ages 15–18 · Grades 9–12 · Scientific Method
InquiryForge
Every study either holds up or it doesn’t — and you can reason your way to which. Here you read a real experiment, predict whether it’s sound, and see the reasoning worked out — no jargon, no lectures, nothing sent anywhere.
The Design Lab
Who you’ll meet
- Hattie — changes one variable at a time (a controlled experiment)
- Cal — spots the confound — a second factor sneaking in
- Fenn — untangles who-vs-what in human studies
- Ravi — builds a control group to compare against
- Corvo — catches the hidden variable in a clinical trial
- Sana — tells real signal from random wobble
- Opal — knows a tiny effect in big noise could be chance
- Nia — flags the borderline result that needs more data
- Argus — remembers correlation isn’t causation
- Sol — the mentor — sets a question, tests it, guides reflection
Check what you know
1. What Makes a Question Testable? 2. Variables 3. The Controlled Experiment 4. Confounding Variables 5. Operationalizing & Measurement 6. Sampling & Bias 7. Randomization & Fair Comparison 8. Correlation vs Causation 9. Signal vs Noise 10. Reading Graphs Honestly 11. Replication & Reproducibility 12. Claim, Evidence, Reasoning (CER) 13. Argumentation (ADI) 14. Experimental vs Observational 15. From Result to Conclusion 16. Design & Defend a Study