Start with the line. In 2020, US adults 60 and older reported losing about $600 million to fraud. In 2024 they reported losing about $2.4 billion. The FTC’s own report does the arithmetic and names it without euphemism: “a 300% increase.” The agency adds, in the same breath, what drove it. The rise was “largely driven by reports of losses over $100,000, often to investment scams, romance scams, or impersonations.”
| Date | USD, billions | Basis | Note |
|---|---|---|---|
| Date 2020 | USD, billions 0.6 | Basis sourced | Note ~$600M aggregate reported fraud loss by adults 60+ (FTC Figure 1: $306M under $10K + $218M $10K–$100K + $76M over $100K). The base year of the 300% rise. |
| Date 2021 | USD, billions 1 | Basis sourced | Note ~$1.0B (FTC Figure 1: $584M + $341M + $100M). |
| Date 2022 | USD, billions 1.6 | Basis sourced | Note ~$1.6B (FTC Figure 1: $1.0B + $482M + $101M). |
| Date 2023 | USD, billions 1.9 | Basis sourced | Note ~$1.9B (FTC Figure 1: $1.3B + $566M + $105M). |
| Date 2024 | USD, billions 2.4 | Basis sourced | Note ~$2.4B reported by 109,580 of 421,031 age-tagged 60+ reports. FTC: "a 300% increase" over 2020. Driven by >$100K losses (up 351%, 5% of reports / 68% of dollars). FTC's own estimate of the TRUE cost, adjusting for underreporting, is $10.1B–$81.5B for 2024. |
Source: FTC, "Protecting Older Consumers 2024–2025" (annual report to Congress under the Elder Abuse Prevention and Prosecution Act), Figure 1, citing the Consumer Sentinel Network · latest 2.4 USD, billions (2024) · as of 2026-09-04
A second, separate tally points the same way. The FBI’s Internet Crime Complaint Center recorded more than 147,000 complaints from people 60 and over in 2024 and almost $4.9 billion in reported losses, a 43 percent rise on the year before, averaging some $83,000 per victim. Investment scams led at over $1.8 billion; confidence and romance scams accounted for $389 million. Two registers, kept by two agencies, counting overlapping but distinct pools of reports, and both arrive at the same two high-dollar categories: the fake investment and the false romance.
These are reported losses, and the FTC is explicit that they are a floor. Its own estimate of the true 2024 cost of fraud to older adults, adjusting for everyone who never files, runs from $10.1 billion to $81.5 billion. The headline is not the number. It is the edge of the number.
But the dollar figures are the easy part, and they are not the point of this page. The point is the machine that produces them, and the single quiet finding that explains who it is built for.
The machine is built for one customer
“Pig butchering” is the inelegant name for the most lucrative form. It comes from the Mandarin sha zhu pan, and the metaphor is exactly as cold as it sounds: the victim is the pig, and the scam fattens it before the slaughter. It fuses two scripts that the consumer-protection world used to keep in separate folders, the romance scam and the investment scam, into one long con.
The shape is consistent. A stranger arrives, usually through a message that pretends to be misdirected, the wrong-number text answered with unexpected warmth. A relationship is built, deliberately and patiently, over weeks or months. Then, once the trust is load-bearing, the new friend mentions an investment: a cryptocurrency platform, a private opportunity, returns that look real because the fabricated dashboard is good. The victim deposits. The numbers go up on the screen. They deposit more. And at the end, when there is nothing left to add, the platform and the person both vanish on the same day.
The FTC describes this without using the slang. Its 2024 data shows older adults’ highest aggregate losses were on investment scams, and that the victims “often described being lured to fake cryptocurrency investment platforms after being targeted on social media.” That sentence is the pig-butchering pattern under its statistical skin.
And the channels are not incidental — they are the design. The FTC found that far more investment-scam reports named social media as the method of first contact than any other, for older and younger adults alike. The costliest payment rails, measured in total dollars lost by older adults, were bank transfers and cryptocurrency. Aggregate losses by older adults to fraud that started on social media have risen nearly ninefold since 2020.
Read those three facts together and a portrait assembles itself. Contact comes through a screen. The money leaves by wire or by crypto. The whole transaction happens with no familiar face anywhere in the loop. The machine has a preferred customer, and the customer is a person who lives much of their life online, moves money digitally, and has no one standing at their shoulder.
Loneliness is not a vulnerability. It is the door.
Here is the finding that almost no consumer guide carries, because it is buried in a journal rather than a press release, and because it is more uncomfortable than the soft version everyone repeats.
Everyone says scammers prey on the lonely. It is true, and said that way it is harmless: a sympathy, not a mechanism. The hard version is a coefficient. In a 2024 study of 823 older adults (mean age 77.7), published in Innovation in Aging, loneliness was an independent predictor of how often a person was defrauded. Each one-unit rise on the standard UCLA loneliness scale raised victimization frequency by 46 percent: an exponentiated coefficient of 1.46, with a 95 percent confidence interval of 1.28 to 1.67, holding sociodemographics and the other measured risk factors constant. Financial fragility, the inability to cover a $2,000 emergency, added another 30 percent. The average victim in the sample reported 7.6 fraud incidents.
So far this only confirms the cliché with a decimal point. The part that changes the meaning is what the same study found when it measured the obvious antidote. It assessed the frequency of social contact separately (how often a person actually saw or spoke to friends and family), and that frequency was not protective. The coefficient did not reach significance; the p-value was .190. Being around people did not measurably reduce how often a person was defrauded.
Sit with the gap between those two results. The variable that predicts repeat victimization is the subjective feeling of loneliness — feeling left out, lacking companionship, feeling isolated. The variable that does not protect is the objective count of human contact. A person can have a full calendar and a populated house and still carry the internal state the fraud is tuned to, and the populated house does not save them. The thing the scam reaches for is not a shortage of people. It is a hunger that other people, present in the room, were not filling.
That is the philosophical turn this page rests on, and it is the only one it will make. We are accustomed to treating loneliness as a deficit, an absence, something missing that company would supply. The data says it is not an absence the scammer fills. It is an opening the scammer enters. The lonely retiree is not defrauded because they are alone in the trivial sense of having too few visitors. They are defrauded because the unmet want is a standing aperture, and company does not close it. The relationship the scammer offers is not a substitute for the friends who failed to call. It answers a need those friends were never reaching either.
Why the expat is the designed-for target
Now lay the two halves together, because the join is the whole argument.
The fraud is a system optimised for two inputs: a lonely person, and money that moves online without a familiar observer. Hold that against what relocation actually does.
This site documents, elsewhere and at length, the structural loneliness the move tends to produce: the geographic cure that is a lie, the cognitive decline faced alone abroad, the family who are statistically more likely than the stranger to be the ones who take the money. The pitch sells companionship and, for a large share of those who buy it, delivers the opposite: a thinner network, a language barrier, a circle that shrinks to one partner or to none, in a country where the old observers (the lifelong friends, the longstanding bank, the adult children down the road) are all several time zones away. The move supplies, reliably, the precise variable the study names as the frequency-multiplier.
And it supplies the second input by simple necessity. A pension drawn abroad, savings managed from another continent, remittances sent home or received from home: all of it runs on exactly the rails the FTC names as costliest, the cross-border bank transfer and, increasingly, the crypto account, transacted through a screen, with no branch manager who has known the customer for thirty years to glance up and ask why this transfer is different. The expat’s ordinary financial posture is the scam’s preferred payment method, configured by the conditions of living overseas, not by any error.
This is not bad luck visited on an average person. It is the average person placed, by the act of moving, into the configuration the machine is searching for. If you set out to design the ideal victim, you would isolate them from the people who would notice, route their money onto digital cross-border rails, remove the longitudinal observers, and leave intact a subjective loneliness that no amount of local socialising reliably touches. The relocation pitch does four of those four, and calls it a fresh start.
A discipline is owed here, the same one this site owes on every page. None of the measured numbers is an expat number. The loss tallies are US reports; the loneliness coefficient is a US sample. There is no study anywhere that measures the fraud-loss rate of Western retirees in Thailand or the Philippines, and none is invented here. What transfers across the border is not the statistic. It is the structure — the two inputs, and the fact that the move supplies both.
The honest statement
The reading is description, not instruction, so this is what the evidence supports rather than a directive to anyone. The mechanism the data describes is conditional severity: not that the isolated retiree is fooled more often in some cosmic sense, but that when the long con lands, it lands large, on bank-transfer or crypto rails, with a lonely person at the keyboard and no familiar face in the loop. The defences that follow from that are structural, and they share one property: none of them requires being able to spot the scam in the moment, which is the exact faculty the loneliness erodes.
They are the boring ones. A transfer limit and an out-of-band confirmation on the cross-border account. A mandatory cooling-off, or a second signer, for any movement above a threshold. A trusted monitor who sees the account alerts, someone other than the person making the transfers. A power of attorney documented while capacity is whole. Each adds friction at the one point the fraud needs to be frictionless: the moment the fattened pig is asked to send the money. The common feature is that no single, lonely, unobserved person can move the whole sum on the strength of a relationship that exists only on a screen.
And the timing is the rest of it. Every one of those safeguards has to be installed before it is needed, because the state in which it is needed (deep isolation, advanced grooming, a relationship that now feels more real than the children who do not call) is precisely the state in which the person will not build it. The window to add friction closes at the same moment the friction becomes necessary. The decision is structural, and it is early, or it is not a decision at all.
The pitch sells a threat model in which the danger is a cartoon stranger you would obviously refuse, and the cheaper country is safe as long as you keep your wits. The data describes a different model, and a colder one. The danger is not that you are foolish. It is that you will be made lonely, and that being lonely is, in the literature, not a sad fact about your social life but a measured opening into your accounts. One that company does not close, that the move reliably widens, and that the dream you were sold was, in its structure, built to walk through. The stranger with the misdirected text was never really the predator. The predator was the absence the move created, and patiently mistook for love.