It does not. You only notice the times it does, because losing to the other lane hurts more than winning feels good.
The number came from a Japanese pedometer marketing campaign in 1965. It is still the number, because round numbers become goals whether they deserve to or not.
Forty minutes in, you know it is terrible. You stay anyway, because leaving would waste the forty minutes. It would not. They are already gone.
The card machine turns to face you with three buttons and a queue behind you. Twenty percent suddenly seems reasonable. Nothing about the coffee changed.
Small $5, medium $8, large $8.50. Nobody buys the medium. That is exactly the point of the medium.
The first bite of anything is the best one you will get. Economists have a dull name for this and a surprisingly useful lesson inside it.
You lose a $50 ticket on the way to the theatre. Do you buy another? Now imagine you lose $50 cash instead. Most people answer the two questions differently.
You are not lazy. You were sold a version of yourself that does not exist yet, and the pricing was designed around the gap.
Ten minutes not knowing feels like twenty. Ten minutes with a number and a screen feels like five. The clinic can change the second without touching the first.
Thousands of options, thirty minutes of scrolling, and you watch the thing you have already seen. Too much choice does not free you. It stalls you.
Two treatments, same survival odds, different side effects. There is no medical answer to which is better, and that is not a failure of medicine.
The same portion looks small on a large plate and generous on a small one. Your eyes decide how full you are before your stomach gets a say.
You added a $14 item you did not want to avoid a $6 delivery fee. Everyone does it. Here is the switch in your head that got flipped.
There were four this morning. There will be four tomorrow. Scarcity is the oldest trick in the shop, and it still works on you.
It took about eight weeks for your last raise to become invisible. That is not ingratitude. It is how reference points work, and you can use it.
Survey answers are not read off a preference sitting in your head. They are constructed on the spot, and the way you ask changes what gets built.
Why ‘free’ is not just a low price. It changes how we decide, sometimes against our own interest.
The option you never chose is often the one you end up with. Defaults quietly shape huge decisions.
The attention economy is built on removing tiny frictions and adding them where it wants you to stay.
Why behavioural economics starts with rational choice rather than replacing it.
A tiny change in a number can produce a large change in how it feels. Blame the left-most digit.
I assumed opposition ran along a single line from pro to anti. The data said otherwise, and the design implications were not what I expected.
A plain guide to what a DCE can tell you, and what it cannot.
The same person often buys insurance and a lottery ticket. Probability weighting explains how both can be attractive at once.
Why preference heterogeneity, not the average, is often the real finding.
Losses tend to loom larger than equivalent gains. That simple asymmetry reshapes how people value treatments, prices, and policies.
Using eye tracking to see how people read a choice task, and why it matters.
Risk is when the odds are known. Ambiguity is when they are not. People treat the two very differently, and it matters for new health technologies.
Giving respondents feedback in a preference task can guide them, or mislead them.
A famous pair of choices that most people get ‘wrong’ by the standard model. The Allais paradox shows why the independence axiom is hard to keep.
Mandates are usually argued in absolutes. Preference research shows the trade-offs.
People prefer a bet with known odds to an equivalent bet with unknown odds. The Ellsberg paradox shows why, and why it matters for new technologies.
A small experiment you can run on yourself in under a minute, and what it reveals about how you actually value your own time.
Turning preference studies into tools that decision-makers can actually use.
The certainty effect: why eliminating the last sliver of risk is worth more than removing an equivalent sliver in the middle, and what that does to health decisions.