
The hidden background noise that can catch criminals
About this video
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 it appears in the archive
The go-to short, accessible explainer for mains hum forensics, linked whenever recording authenticity or timestamps come up.
AI-generated summary and labels from the source dataset; verify important details against the video. Source & credits.
From the Hacker News discussion
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. [VIDEO]
Read original 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] [VIDEO]
Read original comment ↗A video on the same subject: [VIDEO] I really enjoy Tom Scott. Everything he puts out is wonderfully concise.
Read original comment ↗There are companies that already provide this kind of service so it might be interesting for you to combine efforts: [VIDEO]
Read original comment ↗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]: [VIDEO]
Read original comment ↗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: [VIDEO]
Read original comment ↗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. [VIDEO]
Read original comment ↗Reminds me of the 'mains hum' technique that was used to identify videos. Can also be done with light. [VIDEO] [LINK]
Read original comment ↗