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Use the shape of a dataset to explain how a famous honesty study was exposed as fake — and explain why faking data is a serious ethics violation even when no participant is harmed.
Full screen, one move at a time. Use ← → to move, Space to start, Esc to leave.
Students read these before the video and use them all period.
Students scan with a phone camera to open the video. It links to youtu.be/Q3tSG8h_O3A. The same code is printed on the worksheet and shown on the student answer page.
The handout gives only a total — about 45 minutes plus the video — so the bars show each part’s relative weight, not minutes.
When one researcher breaks the rules, who pays the price?
How can the shape of a dataset give a lie away?
The first question is the hook and the last word. Put it on the board before the video and come back to it in Part 4’s ripple chart.
| Criteria | 2 points | 1 point | 0 points |
|---|---|---|---|
| Answers the prompt | Fully addresses every part | Addresses some parts | Off topic |
| Specific example | Concrete, detailed example | Vague example | None |
| Connects to the case | Clear link to the Ariely case or research ethics | Brief mention | No link |
| Reasoning | Considers more than one side or consequence | One-sided | Restates only |