Comment by smugglerFlynn

I wish we would start paying proportional attention to business news, instead of treating AI (or any other "cutting edge") companies as economy-defining and giving these 50+% of the attention.

It is especially telling if we try to list out all the psychological biases at play:

  - Availability & salience bias - vivid, memorable things feel more important than they are
  - Narrative bias - humans tend to think in stories, and AI tells plenty
  - Recency and novelty bias — new things feel more consequential than established ones (this one already drives like 80% of all HN content btw)
  - Proportionality neglect - people are bad at intuitively grasping what percentages mean, even if they see the stats
  - Social proof and reflexivity - coverage signals importance, and drives more coverage
  - Status quo invisibility - things that work reliably become invisible (surprisingly, HN is really good in terms of working against this bias, I feel like at least 5% of all posts are some niche "inner daily workings" topics)
  - Speculation premium in attention - uncertainty generates more discussion than certainty
  - In-group signaling - cutting-edge things are status markers among influencers