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263 points josephcsible | 1 comments | | HN request time: 0.331s | source
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mr_windfrog ◴[] No.46178827[source]
What this incident really shows is the growing gap between how easy it is to create a convincing warning and how costly it is to verify what's actually happening. Hoaxes aren't new, but generative tools make fabrication almost free and massively increase the volume.

The rail operator didn't do anything wrong. After an earthquake and a realistic-looking image, the only responsible action is to treat it as potentially real and inspect the track.

This wasn't catastrophic, but it's a preview of a world where a single person can cheaply trigger high-cost responses. The systems we build will have to adapt, not by ignoring social media reports, but by developing faster, more resilient ways to distinguish signal from noise.

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belorn ◴[] No.46180642[source]
Given the number of cctv cameras that operate in the UK, and their continued growth, I am surprised that the rail operator did not have access to a direct view of the bridge. I am also a bit surprised that there isn't technology to detect rail damage, especially the power lines that runs over the track.

Where I live it is not uncommon for rail to have detection for people walking on the rail, and bridges to have extra protection against jumpers. I wouldn't be that surprised if the same system can be used to verify damage.

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1. m3047 ◴[] No.46184118[source]
One of the more interesting ways of detecting rail damage, and subsidence in general, is optically detecting noise / distortion in fiber optic cables. An applied case of observables which are the basis for an evaluative (the "signal") being utilized originally to diagnose possible maintenance issues and then going "hey there, wait a sec, there's a different evaluative we can produce from this exhaust and sell".

https://fibersense.com/

http://www.focus-sensors.com/