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THE VIDEO SHELF · motorcycle visibility

Invisibility Training for Motorcyclists

FortNine's tongue-in-cheek guide to why drivers fail to see motorcyclists and how riders can make themselves more visible. It touches on perception psychology, including the role of saccades.

Why HN readers recommended it

Cited in threads on motorcycle and cyclist safety to explain why drivers look and still miss them.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
FortNine
Topic
motorcycle visibility
Format
explainer
Level
general
HN recommenders in dataset
4
HN mentions in dataset
7
Recommendation years in dataset
2019–2026

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.

  • There's a great, if a bit cheesy video from FortNine [1] on why motorcyclists can be basically invisible to even cautious drivers due to the way our brain processes information, and I think the same thing would apply for bicyclists. When I'm on my bike …

    pdovy on Hacker News · 2019-02
    In US Cities Are Becoming More Dangerous for Cyclists and Pedestrians
  • Also an excellent video here [VIDEO] - tongue-in-cheek but highly relevant "invisibility training for motorcyclists" by FortNine

    alosarv on Hacker News · 2019-10
    In Lethal memory fail: Why drivers see, and then forget motorcyclists
  • As a motorcyclist -- and lifelong learner w/ a degree in cognitive psychology -- I really appreciate demonstrations like this one^1 from Daniel Simons. It's a short video (< 90s), but for many first-time viewers, it's an eye-opening experience. ^1. [LINK] Edit: just saw @elosarv's …

    chrisweekly on Hacker News · 2019-10
    In Lethal memory fail: Why drivers see, and then forget motorcyclists

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.