Get-Rich-Quick & Scams
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Get-Rich-Quick & Scams

The promise never changes: fast, easy, certain money. The attention machine made the pitch personal, socially endorsed, and one tap from your bank account.

How to read this page. Tap any underlined word to see the precise term and a short definition. Expand any "Deeper" box for the evidence and contested points. The main text works on its own — you can skip both and still get the whole argument.

The pitch is old. The delivery is new.

Get-rich-quick is not an internet invention. Chain letters, pyramid schemes, boiler-room stock fraud, and "send money to a stranger abroad" letters all predate the web by decades. What changed is the delivery. The same machinery the rest of this site describes — behavioural targeting, manufactured social endorsement, and the removal of every pause between wanting and paying — turned an old pitch into a precision instrument.

From the spam folder to the feed

In the early 2000s, the get-rich-quick pitch arrived as broadcast spam: the same email to millions, easy to ignore. Social platforms changed three things. They let a scammer target the most receptive people using the same tools a legitimate advertiser uses. They wrapped the pitch in social proof — a friend, an influencer, a celebrity, a WhatsApp group of "successful investors." And they collapsed the distance from "I want this" to "I have paid" to nearly zero.

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Social proof

The tendency to treat other people's behaviour as evidence of what is safe or smart — strongest under uncertainty, and strongest when those people are admired or seem similar to us. A scam delivered as an ad is easy to dismiss; the same scam delivered as a tip from someone you follow, or as a crowd of strangers all "winning," bypasses the scepticism an ad would trigger. The endorsement does the persuading.

Sources

  • Cialdini, R. (1984), Influence: The Psychology of Persuasion, Harper Business.

The numbers track the shift. The US Federal Trade Commission reports that money lost to scams that began on social media rose roughly eightfold between 2020 and 2025 — from about $261 million to $2.1 billion a year — making social media the costliest way for scammers to reach people. Investment scams were the single largest category, accounting for more than half of those losses, and social media is now the most common place people first encounter an investment scam.

Pig butchering and the romance-to-investment pipeline

Not all of this is a stranger asking for money. The fastest-growing investment fraud builds a relationship first. A "pig-butchering" scam opens with a wrong-number text, a dating-app match, or a friendly message, develops trust over weeks, then introduces a "can't-lose" investment — usually crypto, on a fake platform that shows fictional profits until the victim tries to withdraw. The FTC reported $5.7 billion lost to investment scams in 2024 alone, up nearly a quarter on the year before.

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Pig-butchering scam

A slang term (from "fattening the pig before slaughter") for a long-game investment fraud: the scammer invests weeks building a genuine-feeling relationship before introducing a fake, high-return investment platform. The trust is the product; the "investment" is the slaughter. Naming the structure matters because, once you know the relationship is the setup, the later pitch loses its power.

The finfluencer

Between outright fraud and honest advice sits a large grey zone: the financial influencer, or "finfluencer." The UK's Financial Conduct Authority found that 62% of 18-to-29-year-olds follow finfluencers and 74% of those followers trust the advice — advice that is often an unauthorised, and sometimes illegal, financial promotion. The FCA has issued guidance, charged finfluencers over an unauthorised foreign-exchange scheme, and in 2025 led a nine-country week of action producing hundreds of takedown requests. Celebrity endorsement carries the same risk: in 2022 the US Securities and Exchange Commission fined Kim Kardashian $1.26 million for promoting a crypto token to her followers without disclosing the $250,000 she was paid to do it.

Why the machine is fertile ground

No conspiracy is required. Get-rich-quick content is unusually engaging because it pulls two of the strongest levers there are — greed and the fear of missing out. The platforms' advertising systems let a fraudster buy precision targeting as easily as a shoe company can. The recommendation engine surfaces whatever holds attention, and a confident "how I made $10,000 this month" holds attention. And the payment is frictionless. The platform profits from the ad spend and the engagement; the scammer exploits the same tools; the harm emerges from the incentives, not from a plot.

How we know — what the fraud numbers do and don't show, and where fraud ends and hype begins

On the numbers. The FTC figures are reported losses — built from complaints people choose to file. Most fraud goes unreported (out of shame, or because the victim never realises), so the true totals are almost certainly higher, not lower. "Contact method" attribution also depends on victims correctly recalling where a scam began. The figures are best read as a clear, consistent trend — social media's share of fraud rising sharply — rather than a precise tally.

On the spectrum. This page deliberately spans three different things, and they are not equally culpable. Outright fraud (pig butchering, fake platforms) is criminal. Unauthorised financial promotion (many finfluencers, the undisclosed celebrity plug) is often illegal but not always fraudulent — the product may be real, just mis-sold. And legal-but-harmful hype (meme-stock mania, "this coin will 100x," dropshipping courses) breaks no law yet reliably transfers money from the many to the few. The common thread is not criminality; it is that engagement-optimised feeds reward the confident promise of easy money and have no mechanism to reward the boring truth that it usually is not.