Freakonomics Radio Episode #667: Here’s Why You Are Constantly Fighting Off Scammers

Aired: March 13, 2026
Host: Stephen J. Dubner

Episode Overview

This episode explores the ever-evolving and industrialized world of scamming, examining why scams are so prevalent, how they function, who becomes a victim, and the profound consequences on individuals and society. Host Stephen Dubner interviews experts, victims, and regulators, delving into the economics, psychology, and technology behind modern scams, and what might be done to fight back.

Key Discussion Points & Insights

1. The Industrialization of Scamming

• Scamming is established as a complex, competitive industry with global reach. (02:37)

  • Quote: "It is absolutely an industry. A very complex, always evolving, very competitive industry." – Katie Daffin (02:37)

• Criminal organizations leverage mass data leaks, AI, and marketing techniques to maximize profit and efficiency.

  • Quote: "You can send a message now to 100 million people and if you get 0.01%, that's still 10,000 people who will maybe send you $1,000, and all of a sudden you've got $10 million." – Mark Frank (02:57, 25:59)

2. Scope and Scale of the Problem

• Between 10–20% of Americans report some type of scam victimization annually, with actual numbers likely higher due to underreporting. (04:01)

  • Quote: "Fraud affects 10% to potentially 20% of Americans per year." – Marty De Lima (04:01)

• Scam losses in the US for 2024 are estimated at between $31.3 billion and $195.9 billion, depending on assumptions about underreporting. (14:29)

  • Quote: “...between 31.3 billion and 195.9 billion was lost to fraud.” – Katie Daffin (14:29)

3. Victim Demographics and Psychologies

• Age Differences:

  • Middle-aged adults report the most scam victimization; older adults lose more money per incident. (05:53)
  • Different scams target different age groups (e.g., fake job and shopping scams hit the young; tech support and romance scams more often hit older adults).

• Psychological Impact:

  • Scams can lead to severe trauma, even contributing to cases of suicide. Victims often suffer a profound loss of trust in others and themselves. (05:14)
  • Quote: "Victimization often leads to suicide." – Marty De Lima (05:14)

4. Scamming Techniques and Tactics

• Traditional and Evolving Techniques:

  • Scams range from old-fashioned in-person cons to highly sophisticated, AI-assisted digital operations.
  • Examples include lottery scams, romance-to-crypto scams (also known as "pig butchering"), and appeals exploiting urgency or fear. (10:12, 18:08)

• Romance-to-Crypto ("Pig Butchering") Scam:

  • Victims develop relationships over weeks or months, are convinced to invest in fake crypto platforms, and lose all access when they try to withdraw. (18:08)
  • Quote: “…these scam centers also have app developers, so they can make really legitimate looking investment apps ... when you actually try to take out that cash, you realize it’s all smoke and mirrors and the money is gone." – Marty De Lima (18:16)

• AI’s Role in Scamming:

  • AI-generated voices and content have made even previously "safe" advice (like watching for typos or video-calling a stranger) obsolete. (35:23)
  • Quote: “All of our old consumer education rules of thumb, we’ve had to throw out the window ... things like look for spelling errors in the email. Gone. Do a video call ... gone.” – Marty De Lima (35:23)

5. Structural and Systemic Facilitators

• Global and Systemic Nature:

  • Major scam operations often run out of countries with weak law enforcement or conflicted political environments (Cambodia, Myanmar, Ghana, etc.). (17:11, 43:38)
  • Most scams impacting Americans originate with transnational criminal organizations. (16:43)

• Platforms as Enablers:

  • Social media platforms like Meta (Facebook/Instagram) host an enormous number of scam ads, possibly incentivized by ad revenue.
  • Quote: “Meta and Facebook is a pretty big platform ... They reportedly show their users about 15 billion scam ads a day.” – Stephen Dubner (46:36)

• Corporate Indifference:

  • Victims’ complaints often don’t result in timely takedowns of scam profiles or ads. (47:11)
  • Quote: “...they're making a calculated choice to either show and host known false and fraudulent ads or not.” – Marty De Lima (47:11)

6. Societal Consequences

• Erosion of Trust:

  • Scamming undermines social trust, making everyday communication and connection more fraught. (15:26)
  • Quote: “They erode our trust in legitimate communication, in systems that we need to rely on, and in each other.” – Marty De Lima (15:14)

• Victim Blaming:

  • Victims tend to blame themselves rather than the structures enabling scams. (48:03)
  • Quote: "...when I talk to people who've been victims of scams, ... After the scammers... They blame themselves. They do not blame the structures that have allowed the crime to happen." – Marty De Lima (48:03)

7. Fighting Back: Regulatory and Technological Solutions

• FTC and Enforcement:

  • The FTC investigates, freezes assets, and tries to return money to scam victims, but must be perpetually adaptive. (39:05, 40:42)

  • New efforts target both scammers and the enablers in the payment ecosystem. (44:22)

  • Quote: “We have authority to issue civil investigative demands ... build up evidence ... go to court ... and freeze all the assets because otherwise they might get hidden away.” – Katie Daffin (40:46)

• Industry and Legislative Responsibilities:

  • Experts urge legislation and platform accountability, alongside consumer education, for real progress. UK and Australia pursue platform liability; US efforts are slower. (46:36, 47:07, 43:06)

  • Quote: "We need to do more at the legislative level so that companies like social media companies, telecoms, ... take more action in preventing the scam messages from getting to us in the first place." – Marty De Lima (46:36)

• Tech Solutions – “AIs Fighting AIs”:

  • Anti-scam AIs screen calls and interact with scammers, with a future predicted where AIs battle both sides. (22:41, 36:03)

  • Quote: "I think that we're going to have AIs fighting AIs very soon." – Marty De Lima (22:41)

Notable Quotes & Memorable Moments (with Timestamps)

• On Victim Profiles:
  • "Investment fraud victims ... tend to be male, upper middle class. They have higher levels of confidence. They actually have better financial literacy than the general US adult population." – Marty De Lima (29:37)
• On the Social Cost:
  • "They erode our trust in legitimate communication, in systems that we need to rely on, and in each other." – Marty De Lima (15:14)
• On the Futility of Some Advice:
  • “All of our old consumer education rules of thumb, we've had to throw out the window.” – Marty De Lima (35:23)
• On Personal Experience as a Professional:
  • “I was supposed to take some cybersecurity training, and I just kept missing the deadline until I got a call from my supervisor... And I'm like, are you kidding me? That looked just like a scam.” – Marty De Lima (49:25)

Key Segment Timestamps

• Chen Xi and the Pig Butchering Scam/Intro: 00:01 – 03:28
• Scope and Effects of Scamming (Marty De Lima): 03:51 – 07:44
• Gerontology and Victim Trauma: 04:55 – 05:47
• In-Person vs. Digital Scamming Evolution: 08:36 – 09:43
• The Piano Scam Example: 10:34 – 13:04
• FTC’s Role and National Statistics (Katie Daffin): 13:07 – 15:11
• Social Trust and Scamming: 15:14 – 16:11
• Where Scams Originate and the Industry Landscape: 16:34 – 18:08
• Romance-to-Crypto/Pig Butchering: 18:08 – 19:22
• How Sophisticated are the Best Scams?: 20:08 – 22:34
• AIs Fighting AIs; Tech’s Role: 22:41 – 22:45, 35:11 – 36:27, 36:03
• Historical Perspective on Scamming (Mark Frank): 25:39 – 27:14
• Scam Tactics: Emotional, Scarcity, Urgency: 30:30 – 34:10
• Personal and Societal Vulnerabilities: 34:29 – 34:52
• AI’s Changing the Scamming Landscape: 35:11 – 36:27
• FTC Enforcement Process: 39:05 – 42:08
• Global Government Actions: 43:05 – 44:12
• Platform Accountability and the Meta Leak: 46:06 – 47:59
• Advice and Real-Life Example of Mistaken Legitimate Message: 49:01 – 49:43

Actionable Takeaways and Final Thoughts

• Be Skeptical: Treat every unsolicited communication with caution and independently verify before responding or following instructions.
• Report Attempts: Use email/reporting tools and official government channels, even if you weren't a victim.
• Advocate for Accountability: Societal change must include pressures on tech platforms, payment processors, and telecoms to minimize scam exposure on a systemic level.

For Listeners:

If you have a scam story or thoughts about this episode, you can email the show at radio@freakonomics.com.

Note:
This summary omits all advertisements and non-content sections. The tone reflects the conversational, insightful, and occasionally wry style of the original episode.