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Scams and Social Engineering: Tricks and Manipulation

Published · 12 min

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A scam is not a technical trick against a computer. It is a very old confidence trick, aimed at a person, now sent to millions of targets at once because sending it costs almost nothing - so even a response rate near zero still pays.

This video explains what a scam and a fraud actually are, and what social engineering means: hacking the person in front of the screen using trust, urgency and fear, rather than hacking the machine behind it. It traces the trick back to the 1840s American 'confidence man', then forward to America Online in the 1990s, where a Usenet post about stealing AOL passwords gave the internet the word 'phishing' in January 1996.

It shows how scammers borrow the trust already built into familiar brands - Microsoft was the most impersonated brand in phishing attempts in both the Q4 2025 and Q2 2026 Check Point Brand Phishing Reports, named in roughly one in five attempts each time - and how they hook targets with money (a prize, an inheritance, a large payment) or with fear (a fake tax, court or bank warning).

The video sets out the actual scale: US reported fraud losses reached $20.9 billion in 2025, up 26% on 2024, according to the FBI's Internet Crime Complaint Center; Americans aged 60 and over alone reported $7.7 billion of that, roughly 60% higher than 2024. Imposter scams were the single most-reported US fraud category for a fifth straight year, with $3.5 billion in reported losses and a $700 median loss among those who lost money, per the FTC.

It then walks through the three channels in turn - phishing by email, smishing by text, vishing by phone - showing what a real fake-brand email, a fake delivery text and a fake bank call actually look like, including the newest twist: an AI-cloned voice, built from as little as three seconds of real audio to roughly 85% accuracy, per McAfee research.

It ends with the checklist every version shares - unexpected contact, urgency, a request for money or a code, a mismatched link - and the practical response: don't click, verify through a number you already trust, and report it.

Educational documentary. Not financial or investment advice.

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Chapters

  1. What a scam actually is
  2. What social engineering means
  3. Where the con began
  4. Borrowing a brand's trust
  5. Money as the hook
  6. Fear and urgency as the lever
  7. Why they send millions
  8. Phishing: the email con
  9. Smishing: the text con
  10. Vishing: the phone con
  11. How to spot any version
  12. What to do when it lands

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Sources and credits

Photo credits (Wikimedia Commons)

Primary sources

  • FBI Internet Crime Complaint Center (IC3), 2025 Internet Crime Report, published 2026 - $20.9bn (1,008,597 complaints, up 26% on 2024) total US reported fraud losses, and $7.7bn / ~60% increase for the 60+ age group.
  • US Federal Trade Commission, press release 'FTC Data Show People Reported Losing $3.5 Billion to Imposter Scams', published 15 June 2026 - $3.5bn imposter-scam losses, fifth straight year as the top category.
  • FTC Consumer Sentinel Network data spotlight, June 2026, as reported 26 June 2026 - the $700 median loss among imposter-scam victims who lost money.
  • Check Point Research, Brand Phishing Report, Q4 2025 and Q2 2026 editions - Microsoft as most-impersonated brand, 22% and 23% of brand-phishing attempts respectively.
  • UK Office for National Statistics, 'Nature of fraud and computer misuse in England and Wales', year ending March 2025.
  • Kaseya, 'The History of Phishing', 2025 - the AOL/AOHell account of the word's coining; does not itself give an exact day, which is why the video states only 'January 1996'.
  • deepstrike.io, 'Vishing Statistics 2025', citing McAfee voice-cloning research - three seconds of audio producing a voice clone matching the real voice at about 85% accuracy.

Not regulated financial advice.