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Broken Logic You Use on Yourself

Module 13 already covers the sunk cost trap - the pull of money already spent. This module is its family of related fallacies: the gambler's fallacy and base-rate neglect, which keep people chasing bad bets and believing vivid stories over real odds.

How the gambler's fallacy and base-rate neglect keep people chasing bad bets and believing vivid stories over real odds - especially in investment and crypto scams.

The Fee That Was Never the Last One​

Vikram put in Rs. 50,000 first. The app's dashboard showed it growing to Rs. 68,000 within a week, and withdrawing a small amount "to test it" worked exactly as promised. So he put in more.

When the app froze his account at Rs. 4.2 lakh and asked for a "tax clearance payment" to release the funds, he didn't walk away. He told himself he was owed a win. He'd lost this much, the account was so close to unlocking, and surely the odds of losing twice in a row on the same platform were low. He borrowed Rs. 1 lakh from his brother-in-law to pay the clearance fee.

He never once asked himself the only question that mattered: how many apps promising guaranteed returns turn out to be real.

What Is Actually Happening​

Scale

$3.5B+ Lost, 40,000+ Victims

The FBI's Financial Crimes Section reported over $3.5 billion in pig-butchering and investment-fraud losses and more than 40,000 victims across the US in a single year - the majority involving exactly this escalating "one more payment" pattern.

Source: FBI Financial Crimes Section, cited by NBC News, 2024
Real Case

A Retirement Drained on "One More"

A 62-year-old Mississippi retiree sold property and drained his retirement savings chasing a promised payout, each new deposit framed as the one that would finally unlock the money. An FBI agent intervened before he could take out a further loan.

Source: NBC News, 2024

The Fallacies at Work​

The gambler's fallacy - "I'm due for a win"​

Each request for money from a fraudulent platform is an independent decision, not a continuation of a fair game. The platform does not "owe" anyone a correction because of what came before - there is no mechanism by which past losses make a future payout more likely.

Base-rate neglect - a vivid story feels more real than the actual odds​

Vikram's own dashboard, his own successful test withdrawal, felt more convincing than the general, boring, statistical fact that most guaranteed-return schemes are fraudulent. A specific personal experience will almost always feel more real than an abstract base rate - which is exactly why scammers manufacture that personal experience first.

Slippery slope and foot-in-the-door logic​

Each individual step - the small test withdrawal, the first top-up, the clearance fee - feels reasonable in isolation. The unreasonable part only becomes visible when the whole sequence is viewed from outside, which is precisely the view a person mid-sequence does not have.

Module 13 covers the pull of money already spent. The gambler's fallacy is a separate, additional error layered on top: not just "I've already put in too much to stop," but the further belief that the odds themselves have shifted in your favour because of the losses.

The base-rate reset habit​

The single most useful question, asked before the next payment rather than after: "How often is this actually true?" Not "does this feel true," not "am I due" - but a genuine estimate of the base rate for the specific claim being made.

Now Try It: The Clearance Fee​

Walk through Vikram's decisions from the first test withdrawal to the borrowed loan.

Three Things Worth Doing​

1. Ask the base-rate question before every payment, not after.​

"How often is this actually true?" is more useful asked in the moment than as a postscript once the money is already gone.

2. Treat a small successful test as marketing, not proof.​

A test withdrawal that works costs the operator almost nothing and is specifically designed to produce trust on a scale too small to matter to them.

3. Recognise a frozen account plus a new fee as a known pattern.​

The specific platform's name and dashboard design change constantly. The freeze-then-fee structure does not - recognising the pattern matters more than evaluating any single instance on its own terms.

Knowledge Check​

Knowledge Check

Vikram has already lost money on a crypto app that later asks for a 'clearance fee' before releasing his funds. He pays it because he feels he's 'due' for the losses to turn around. What is this reasoning error called?