Reported losses and real losses are two different numbers, and the distance between them is where most scam victims disappear from the record. The FBI logged $20.9 billion in fraud losses in 2025. The FTC estimates the true cost of US fraud could reach $261.5 billion, while only $15.9 billion was actually reported. That gap is not a rounding error. It means most people who lose money to fraud never tell an agency, never file a complaint, and never appear in any official tally.
ScamMarketCap was built around that gap. The site runs a live counter and a leaderboard of cases ranked by the amount on record, so a loss that would otherwise sit in one person's inbox becomes a visible data point. The full figures are at scammarketcap.com/data.
Why people stay silent
Shame is the most cited reason, but it is rarely the only one. Many victims assume nothing can be done, so reporting feels pointless. Others don't know where to report, or the scam happened across a border, through a platform that offers no obvious complaint channel, or in a currency that makes the amount seem too small to matter. A $600 loss feels like a personal mistake. Six hundred dollars taken from four hundred people is a case.
That last point is why aggregation matters. A single report rarely triggers a response. A pattern of similar reports, with matching payment addresses, similar wording, or the same fabricated company name, is much harder to dismiss. When unreported losses stay scattered, investigators have nothing to connect. When they are logged and comparable, the picture changes.
What the gap hides
Underreporting distorts more than statistics. It shapes where protection goes. Warning campaigns, law enforcement priorities, and bank fraud teams all respond to the losses they can see. If the visible numbers capture only a fraction of the real harm, the response will be calibrated to the fraction.
It also hides which scams are working. A fraud that takes modest sums from many people can run for years without triggering alarms, because no single victim crosses the threshold that prompts a complaint. Looking only at large reported cases misses the quiet operations that do the most total damage.
How to read a loss figure
When you see a number attached to a scam, ask what it measures. Is it reported losses, estimated losses, or total cases? Does it count the amount requested or the amount actually sent? Was it verified against records, or self-reported in a form? These distinctions matter. A leaderboard ranked by amount on record tells you what has been documented, which is a narrower claim than what occurred.
Treat any single figure, including ours, as a floor rather than a complete account. The honest position is that the documented losses are the part we can see, and the real total is larger.
Starting from the scale
If you have lost money to a scam, the size of the problem is a reason to report, not to stay quiet. Your case adds to a record that becomes harder to ignore as it grows. Start by writing down what happened, when, the payment method, and any identifiers such as a wallet address, website, phone number, or alias. Even an incomplete report is useful, because the details you cannot yet confirm may match another victim's.
The gap between reported and real losses will not close on its own. It narrows one documented case at a time.