Behavioral Economics Quiz: Can You Beat the Biases?
Classical economics assumes you're a rational calculator. Behavioral economics spent fifty years proving you're not. All 12 scenarios below come from real experiments — guess what people actually did, and see whether you'd fall into the same traps.
0 / 12 answered
Q1
Tversky & Kahneman (1974) spun a rigged wheel of fortune (it only stopped at 10 or 65) in front of subjects, then asked: what percentage of UN members are African countries? The group whose wheel stopped at 65 gave far higher median estimates (45% vs 25%). This demonstrates —
Q2
Ariely, Loewenstein & Prelec (2003) had 55 MIT MBA students write down the last two digits of their Social Security number, then bid on wine and keyboards. Students with the highest digits bid roughly three times more than those with the lowest. The most uncomfortable conclusion:
Q3
Kahneman, Knetsch & Thaler (1990) randomly handed out coffee mugs to half a class. Mug owners then named their minimum selling price; non-owners named their maximum buying price. Same mug: sellers' median $5.25, buyers' median $2.75. Minutes of ownership nearly doubled the mug's value. This is —
Q4
Fitting prospect theory's value function to subjects' pricing data, Tversky & Kahneman (1992) estimated the loss-aversion coefficient λ ≈ 2.25. In plain English:
Q5
The Asian disease problem (Tversky & Kahneman, 1981): an outbreak is expected to kill 600. In the “saved” frame (save 200 for sure vs 1/3 chance to save all 600), 72% chose the sure option. In the “die” frame (400 die for sure vs 1/3 chance nobody dies), 78% chose the gamble. The options are mathematically identical. This shows —
Q6
Arkes & Blumer (1985) worked with a university theater to sell season tickets at three randomly assigned prices: full price ($15), $2 off, or $7 off. First-half attendance data showed —
Q7
Also from Arkes & Blumer: you paid $100 for a Michigan ski trip and $50 for a Wisconsin one — and you honestly expect Wisconsin to be more fun. The trips clash on the same weekend; neither is refundable. In the experiment, 54% chose Michigan. Their logic:
Q8
Thaler's classic: you're buying a $125 jacket and a $15 calculator. The calculator is $5 cheaper at a branch 20 minutes away — most people say they'd drive. Reframe it as the jacket being $5 cheaper there, and far fewer would go. Both cases are “drive 20 minutes to save $5.” What differs?
Q9
Johnson & Goldstein (2003) compared organ-donor registration across Europe: Germany ~12%, Austria over 99%. The countries are culturally similar. The main driver:
Q10
“$100 today” vs “$110 tomorrow” — many take the $100. But “$100 in 365 days” vs “$110 in 366 days” — the same people happily wait the extra day. This inconsistency is called —
Q11
By Thaler & Sunstein's definition in Nudge (2008), which of the following actually qualifies as a nudge?
Q12
The ultimatum game (Güth et al., 1982): A receives $100 and proposes a split with B. If B accepts, the split happens; if B rejects, both get nothing. “Rational agent” theory predicts B accepts any nonzero offer. In real experiments —
Answer all 12 questions to see your result 👆
Ten core concepts, one line each
- Anchoring
- The first number becomes a reference point that drags later judgments — even when you know it's random (wheel / SSN experiments).
- Loss aversion
- Equal-sized losses hurt ~2.25× more than gains please (λ≈2.25) — the core component of prospect theory.
- Endowment effect
- Once something is “mine,” its valuation roughly doubles (mug: $5.25 vs $2.75).
- Framing effect
- Identical facts, different wording (lives saved vs lives lost) — majority choice flips.
- Sunk cost fallacy
- Unrecoverable costs shouldn't drive future choices — yet full-price ticket holders attend more, and 54% pick the pricier, worse trip.
- Mental accounting
- The brain books savings in percentages, not dollars: $5 off $15 is worth a drive; $5 off $125 isn't.
- Default effect
- People stay where the default puts them: opt-out countries register 99%+ organ donors; opt-in countries under 15%.
- Present bias
- “Now” gets special weight — today-vs-tomorrow and next-year's today-vs-tomorrow produce opposite choices. The math shape of procrastination.
- Nudge
- Change behavior without banning options or moving prices — pure choice architecture (fruit at eye level).
- Fairness preferences
- In the ultimatum game, people take zero to punish unfair splits — a real variable Homo economicus can't model.
What is behavioral economics?
| Dimension | Classical assumption | Behavioral finding |
|---|---|---|
| Decision-maker | Fully rational Homo economicus | Boundedly rational humans running on heuristics |
| Preferences | Stable, consistent, transitive | Drift with frames, reference points, and defaults |
| Losses vs gains | Valued symmetrically | Losses hurt ~2.25× more than equal gains |
| Time preference | Exponential discounting, consistent | Hyperbolic discounting — “now” is special, preferences reverse |
| Other people | Care only about own payoff | Care about fairness; will pay to punish unfairness |
| Policy tools | Prices and incentives | Defaults and choice architecture (nudges) work too |
Behavioral economics studies how real people actually make economic decisions — as opposed to the textbook Homo economicus with unlimited rationality, unlimited willpower, and purely selfish preferences. Its two milestones both won Nobel Prizes: psychologist Daniel Kahneman (2002, prospect theory) and Richard Thaler (2017, mental accounting and nudges).
None of the 12 questions above is an invented anecdote. The rigged wheel, the SSN auction, the coffee mugs, the theater season tickets, the organ-donation registries — all are real experiments published in top journals and replicated for decades. That's also the most effective way to learn the field: remember the experiment's famous scene, and the concept sticks to it.
These biases aren't other people's stupidity — they're factory-installed cognitive hardware. Retailers anchor you with crossed-out prices, keep you subscribed with defaults, and manufacture loss with countdown timers. You use sunk cost to justify finishing a bad series, and mental accounting to wave through the “small” add-ons inside a big purchase. Understanding the mechanism is step one of manipulation-proofing yourself.
If you're studying for A-Level or AP Economics, taking an intro university course, or working in product, marketing, or pricing — behavioral economics is required equipment. Framing lives in every landing page, defaults decide subscription retention, and loss aversion powers every “limited time offer” ever written.
Want the full owner's manual for human decision-making? PurrLearn's Money & Economics and Thinking Traps courses take these experiments apart one by one, in plain language, with instant-feedback questions — free to start, no sign-up.
FAQ
What's the core difference between behavioral and classical economics?
Classical economics derives predictions from the axiom that people are rational; behavioral economics builds models from experimental evidence of what people actually do. They're complements, not rivals — findings like loss aversion and hyperbolic discounting are steadily being absorbed into mainstream models.
Who are the key figures in behavioral economics?
Daniel Kahneman and Amos Tversky (prospect theory; the heuristics-and-biases program), Richard Thaler (mental accounting, endowment effect, nudges), and Dan Ariely (Predictably Irrational). Kahneman won the Nobel in 2002, Thaler in 2017; Tversky died too early to share one.
Is behavioral economics on A-Level or AP Economics?
Yes. A-Level Economics (Edexcel/AQA/OCR) added behavioral economics after the 2015 reform — bounded rationality, anchoring, defaults, nudges. AP Microeconomics touches related concepts. The experiments in this quiz are precisely the cases those syllabi cite most.
Where does the 2.25 loss-aversion number come from?
Tversky & Kahneman (1992) fitted prospect theory's value function to subjects' gamble-pricing data and estimated a median λ≈2.25. Later studies put the range around 1.5–2.5 depending on context and method — “losses hurt about twice as much” is robust; don't worship the exact decimal.
Does knowing these biases make you immune?
Partially. Attention-capture biases like anchoring survive awareness (real-estate agents get anchored in experiments too). But process defenses work against others: ask “what would I pay if I didn't own it?” to fight the endowment effect, and manually flip important defaults instead of accepting them.