Why we think only gullible people get scammed
When we hear about a scam, we hear it from the end. We already know the caller was not a police officer and the job was not real, so every warning sign looks obvious. It is easy to conclude that the person who missed them must not have been paying attention.
That conclusion is also comforting. If scams only catch careless people, then careful people are safe. It is a belief that protects how we feel, not how we act.
What being clever protects against, and what it does not
What knowledge and intelligence help with
- Spotting a scam you have read about, when you are calm
- Noticing a clumsy message or an odd link
- Explaining afterwards exactly what went wrong
What they do not switch off
- Fear when someone says your family is in trouble
- Hope when an offer solves a real problem
- Loneliness when someone finally listens
- The pressure of a clock that someone else is running
A 2001 theory by Jeff Langenderfer and Terence Shimp puts it well. When an offer pulls on something you want badly, the emotional pull draws your attention to the promised outcome and away from the details that would give the scam away. Education can help people who read carefully but miss the signs. The emotional route is different: a frightened or hopeful person is not short of knowledge, they are not weighing the offer carefully at all.
Who actually loses money
If scams caught only the naive, losses would cluster in one kind of person. They do not. In the US Federal Trade Commission's reports for 2021, adults aged 18 to 59 were 34% more likely than those over 60 to report losing money to fraud. The scams differed by stage of life: younger adults lost more often to online shopping, fake jobs and investment schemes, older adults to tech support scams.
That pattern looks less like a type of person and more like a type of moment. A student looking for work gets a job offer. A shopper sees an advert for something they wanted. Someone worried about their computer gets a pop-up. The scam meets people where they already are.
The person replying here is not foolish. They are job-hunting, and the message arrived on the day it would mean most. That is the design. See how the task scam works.
Believing people is not a flaw
Timothy Levine's truth-default theory starts from an observation: people presume others are honest unless something triggers suspicion. He argues this is adaptive. It lets us work, shop and make friends without interrogating everyone. Its cost is that a good liar can use it.
Every scam leans on this. Thinking harder does not remove it, and nobody should want to remove it. What helps is a habit that does not depend on noticing anything at all.
One experiment shows how much the situation matters. In a 2019 study of 224 people judging emails, a measure of reflective thinking predicted who was fooled only modestly. Simply being asked to answer faster led people to make more mistakes. Read why urgency is the scam.
Shame is the scam's second win
In a 2023 UK survey for National Trading Standards, fewer than a third of people who realised they had been scammed reported it to an authority such as the police. Of those who did report, 47% said they were made to feel stupid or embarrassed.
Every unreported scam is one fewer warning for someone else. When we treat victims as foolish, we teach the next person to stay quiet, and the people running the scam keep their methods hidden a little longer.
What works instead
- Decide your checks while you are calm, before any stranger is involved: for example, never pay before you have seen the item or a verified profile.
- Treat a strong feeling, fear or excitement, as the signal to use those checks, not to skip them.
- Tell someone before you pay a stranger. The FTC's own advice is to stop and talk to someone you trust, because saying it out loud can show you the scam.
- When someone you know is scammed, ask what happened, not how they fell for it. Help them report it.
The goal is not to become someone who cannot be fooled. Nobody is. It is to have checks that still work on your worst day.
Questions
Aren't older people the main targets?
If I know about scams, am I safe?
Why report if the money is gone?
Realr does not ask you to be clever in the moment. Asking a stranger to show a verified profile before you pay is a rule you can set while you are calm, and keep on the day you are not.
Ask for proofSources
- FTC Data Spotlight: Who experiences scams? A story for all ages (Dec 2022)
- Levine, Truth-Default Theory (TDT), Journal of Language and Social Psychology (2014)
- Stanford Center on Longevity summary: Langenderfer and Shimp, Consumer vulnerability to scams, swindles, and fraud, Psychology and Marketing (2001)
- Jones, Towse, Race and Harrison, Email fraud: The search for psychological predictors of susceptibility, PLOS ONE (2019)
- National Trading Standards: 19 million lose money to scams but fewer than a third report (Oct 2023)
- FTC Consumer Advice: How to avoid a scam



