THE VIDEO SHELF · motorcycle safety
Crash Course - The SMIDSY
A motorcycle safety video on the SMIDSY (sorry mate, I didn't see you) accident, explaining the perception and optical illusion that makes drivers fail to see riders, and how riders can spot the signs and avoid it.
Why HN readers recommended it
HN considers it an outstanding explanation of why drivers miss motorcycles and cyclists, linked in threads on visibility and junction crashes.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- lbtv
- Topic
- motorcycle safety
- Format
- tutorial
- Level
- general
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 5
- Recommendation years in dataset
- 2018–2023
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
This is also of high interest to motorcyclists who even have a name for the phenomena: SMIDSY (Sorry, Mate I Didn't See You). OP was focused on the A pillar and some other effects, while this excellent video goes a little further into some perception …
imglorp on Hacker News · 2018-01
In A Type of Road Junction that Kills CyclistsThere's a second factor at work beyond memory - it's the human visual perceptive system. Bikes are not always moving across the visual field, and they aren't fitting the pattern of a bigger single-color smooth object so it's effectively camouflage. This is an outstanding vid …
imglorp on Hacker News · 2019-10
In Lethal memory fail: Why drivers see, and then forget motorcyclists>it's always "Sorry mate I didn't see you". Ah, the SMIDSY: [VIDEO] That video covers the optical illusion that leads to it and what motorcycles can do.
kingaillas on Hacker News · 2020-09
In Airline pilots landing at LAX report “a guy in jetpack” flying alongside them
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.