Simon had recently become a widower — his wife had died after 43 years of marriage — when he decided to look for a little companionship online. He found it quickly, in the form of a charming, attentive woman, always available, named Emily. What Simon didn't know was that Emily didn't exist anywhere except in a crowded office inside a scam compound in Myanmar — the kind of operation that, according to the Associated Press and FRONTLINE investigation, runs like an assembly line, with operators (often themselves victims of human trafficking) simultaneously managing hundreds of fake identities, each one built to feel unique to the person on the other end of the conversation. Whoever was actually behind the "Emily" profile, the relationship developed quickly and lasted for months — long enough to drain Simon's retirement savings.

The tragic irony of the story runs on several levels. Simon lost $800,000, but that was only the first blow: he was left with a $185,000 debt he had borrowed to "invest" in the relationship, plus additional taxes on the retirement funds he had withdrawn. When he finally found the courage to report it all to local police and the FBI, the response was predictably unhelpful — nothing. And then, in a cruel twist of fate, he was contacted by another scammer, who offered him access to the Secret Service to recover his money... for a fee, according to the full investigation published by PBS FRONTLINE. The kind of plot twist that would be comic in a movie, if it weren't about a real person's lifetime savings.

Simon's case perfectly illustrates what experts call "pig butchering" (literally, "slaughtering the pig" or "fattening the pig before the slaughter") — a fraud technique in which the victim is first "fattened up" emotionally and financially, through weeks or months of attention, affection, and small apparent gains, before being "slaughtered" through a massive request for money. The term comes from the Chinese Sha Zhu Pan and describes the industrialized operations of Southeast Asia: thousands of "operators" running hundreds of simultaneous conversations, aided by AI tools for instant translation, generating replies, and maintaining convincing personas in more than 100 languages, as shown by the AP/FRONTLINE report on the technological infrastructure behind these networks.

Simon isn't an exception — he's a symptom of a much wider epidemic: 98% of Americans suspect they have been targeted by scammers, and reported losses in the US hit a record $15.9 billion in 2025, according to the same AP/FRONTLINE investigation. Of the 58 victims interviewed by journalists, only one recovered any money — and not from the scammer, but through a lawsuit won against her own bank. The rest, like Simon, were left with drained accounts, fresh debt, and, often, the shame of having to tell anyone what happened to them.

It wasn't only naivety that cost Simon a lifetime of savings — it was a technology built specifically to exploit loneliness at industrial scale. That's why any online relationship that quickly escalates toward requests for money — investments, "medical emergencies,""unlocking fees" — deserves the same suspicion no matter how human the person on the other side seems, and a simple check (a spontaneous video call, a reverse image search, a conversation with someone outside the relationship) can stop everything before it escalates. And perhaps most importantly, the most vulnerable moment comes right after you've already been fooled once: anyone who shows up out of nowhere promising to "recover your money" for an upfront fee is, almost certainly, a second scammer.

Sources:

●       Mendoza, M., Linderman, J., Kinetz, E. — "Scams in the US Are at a Record High. Yet Most Victims Get No Help and Some End Up Losing Even More," AP/FRONTLINE, September 2, 2026: https://www.pbs.org/wgbh/frontline/article/scam-victims-lose-more-money/

AP/FRONTLINE — "Four Days To Make Victims Fall in Love: How Global Scammers Use US Tech to Fleece People," June 30, 2026: https://www.pbs.org/wgbh/frontline/article/global-scammers-us-tech/