Projection bias

We assume our future preferences will match our current ones.

Loewenstein, O'Donoghue & Rabin (2003), Projection Bias in Predicting Future Utility.

≡

What is Projection bias?

Projection bias is a behavioural bias (time family): we assume our future preferences will match our current ones. People buy subscriptions or gear based on today's enthusiasm. Nudgeswipe rates the evidence as limited. Source: Loewenstein, O'Donoghue & Rabin (2003), Projection Bias in Predicting Future Utility.

▮▮

The research

People buy subscriptions or gear based on today's enthusiasm.

● Limited evidence

Source: doi.org/10.1162/003355303322552784

Limited evidence: a small number of studies, and we haven't yet found independent replications. Treat it as promising, not proven.

✓

Key takeaways

Honest nudge
Offer trials and easy cancellation.
Dark-pattern line
Long commitments sold at moments of peak enthusiasm.

Use it

Apply this with your agent

The prompt carries this bias, its evidence rating and the honest-vs-dark line.

You are helping me apply a behavioural bias ethically in my product.

Bias: Projection bias (Time, limited evidence): We assume our future preferences will match our current ones.
How it works: People buy subscriptions or gear based on today's enthusiasm.
Source: Loewenstein, O'Donoghue & Rabin (2003), Projection Bias in Predicting Future Utility. https://doi.org/10.1162/003355303322552784
Honest use: Offer trials and easy cancellation.
Dark-pattern line: Long commitments sold at moments of peak enthusiasm.
Page: https://nudgeswipe.com/biases/projection-bias/ (JSON: https://nudgeswipe.com/api/biases/projection-bias.json)

Rules: say a brand "uses" a tactic, never that it "worked"; outcomes are not public unless the company published them; no invented uplift estimates; flag mixed evidence. Honest nudge = true, visible, easy to reverse, and in the user's interest. Dark pattern = hides costs, fakes scarcity or popularity, shames, or makes leaving harder than joining. Quote company-published results as "X reports", with the source link, and don’t generalise them. Don’t cite retracted or failed-to-replicate studies as support (e.g. Ariely & Wertenbroch 2002). Don’t state study figures unless they’re on this page or in a source you can link. If an idea crosses the line, link the matching deceptive.design pattern.

Tasks:
1. Ask me for my product, the flow and the goal.
2. Audit where projection bias already shapes that flow, for better or worse.
3. Propose 2-3 ethical experiments: hypothesis, variant, primary metric, guardrail metric.
4. Flag dark-pattern risks. Evidence is limited (few studies, no independent replication found), so treat it as a hypothesis.

Open in ChatGPT Open in Claude Open in Grok Open in Cursor

ChatGPT, Claude, Grok and Cursor open with the prompt filled in (it is also copied, in case the prefill doesn't load). Gemini and Codex don't support prefilled links, so the prompt is copied and the app opens; paste it in.

Frequently asked questions

What is Projection bias?

Projection bias is a behavioural bias: we assume our future preferences will match our current ones.

How does Projection bias work?

People buy subscriptions or gear based on today's enthusiasm.

How strong is the evidence for Projection bias?

Nudgeswipe rates it limited evidence. Original source: Loewenstein, O'Donoghue & Rabin (2003), Projection Bias in Predicting Future Utility.

How can you use Projection bias honestly?

Offer trials and easy cancellation.

When does Projection bias become a dark pattern?

Long commitments sold at moments of peak enthusiasm.

In the wild

No teardown yet

We haven't captured a real product or email using projection bias yet. Seen one? Use the prompt above to audit your own flow, or browse all teardowns.

5 new nudges, every Friday

Five real product and marketing moments, the psychology behind each, and one thing to try. Weekly issues start soon. Your email is stored with our email provider (Resend) and used only for this newsletter.