Talks to Watch

The hidden background noise that can catch criminals

5.9M views · Dec 20, 2021 · 5:31 · 3 HN recommenders · 8 mentions · discussed 2022–2025

Tom Scott explains Electrical Network Frequency analysis, where hum from the power grid in a recording is matched against grid logs to date and place it. He talks to a researcher and sets them a challenge.

Why Hacker News points people here: The go-to short, accessible explainer for mains hum forensics, linked whenever recording authenticity or timestamps come up.

“less detailed but pretty accessible video [1] explaining how mains hum forensics work”HN comment, 2023

What Hacker News said 8

RecommendsAnotherGoodNameAug 2022

“background noise giving the location of a recording due to power line frequencies being subtly different I recommend it.”

Background power-line frequency reveals recording location and time

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If you haven't already seen tom Scott's video on background noise giving the location of a recording due to power line frequencies being subtly different I recommend it. this video

in “Extracting Audio from Visual Information” · view on HN
RecommendssubparFeb 2023

“less detailed but pretty accessible video [1] explaining how mains hum forensics work”

Accessible explanation of how mains hum forensics work

Full comment

If this is interesting to you or your kids, here's a less detailed but pretty accessible video [1] explaining how mains hum forensics work, complete with British accent. [1] this video

in “How to date a recording using background electrical noise” · view on HN
RecommendsGroxxFeb 2023

“I really enjoy Tom Scott. Everything he puts out is wonderfully concise.”

Concise video on the same subject

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A video on the same subject: this video I really enjoy Tom Scott. Everything he puts out is wonderfully concise.

in “How to date a recording using background electrical noise” · view on HN
Cites itspuzMar 2022

“There are companies that already provide this kind of service”

Points to existing companies offering similar service

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There are companies that already provide this kind of service so it might be interesting for you to combine efforts: this video

in “Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform” · view on HN
Cites itLimeLimestoneJun 2023

“you can use background noise emitted by electricity to prove that a recording has been taken at a certain time and place.”

Background electrical noise can prove when and where a recording was made

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According to a Tom Scott's video[1], you can use background noise emitted by electricity to prove that a recording has been taken at a certain time and place. [1]: this video

in “Wearable device that records your voice for legal defense” · view on HN
Cites itraphaeljAug 2023

“Tom Scott made a video about the idea”

Video about the idea behind commenter's own project

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I'm writing a open-source library ( link ) and a webapp ( link ) that detects the Utility Grid noise emitted by electrical devices (A/C, motors, appliances ...) from Video/Audio recording. It then tries to date the recording by matching it to historical data. The signal processing part is getting decent. I'm still trying to collect more reference signals in RU, UK, China and Japan. Tom Scott made a video about the idea: this video

in “Ask HN: Tell us about your project that's not done yet but you want feedback on” · view on HN
Cites itsschuellerNov 2024

“there was an interesting video by Tom Scott where investigators used the electrical hum background noise to determine when something was recorded.”

Electrical hum used to determine when something was recorded

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Probably not practical but there was an interesting video by Tom Scott where investigators used the electrical hum background noise to determine when something was recorded. Maybe there is a way to audio record something to prove location. this video

in “Ask HN: Are there strategies for content creators to prove their location?” · view on HN
Cites itthewanderer1983Aug 2025

“Reminds me of the 'mains hum' technique that was used to identify videos.”

Mains hum technique for identifying videos

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Reminds me of the 'mains hum' technique that was used to identify videos. Can also be done with light. this video link

in “Hiding secret codes in light protects against fake videos” · view on HN