Topic: consistent bias

31 chunks · 20 episodes

Topic summary

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A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
  • consistent bias appears in 31 chunks across 20 episodes, from 2023-12-18 to 2025-11-24.
  • Its densest episode is Bits and Bobs 7/14/25 (2025-07-14), with 5 observations on this topic.
  • Semantically it travels with emergent phenomena, training data, and ChatGPT, while by chunk count it sits between capped downside and Facebook; its yearly rank moved from #51 in 2023 to #20 in 2025.

Over time

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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Mean 1.6 mentions per episode across the full range2023-12-18: 1 mention2024-08-26: 1 mention2024-09-03: 1 mention2025-02-03: 1 mention2025-03-10: 2 mentions2025-03-17: 1 mention2025-03-31: 1 mention2025-05-26: 1 mention2025-06-23: 2 mentions2025-06-30: 1 mention2025-07-07: 2 mentions2025-07-14: 5 mentions2025-08-11: 2 mentions2025-08-25: 1 mention2025-09-22: 1 mention2025-09-29: 3 mentions2025-10-27: 2 mentions2025-11-10: 1 mention2025-11-17: 1 mention2025-11-24: 1 mention2023-12-18: 12024-08-26: 12024-09-03: 12025-02-03: 12025-03-10: 22025-03-17: 12025-03-31: 12025-05-26: 12025-06-23: 22025-06-30: 12025-07-07: 22025-07-14: 52025-08-11: 22025-08-25: 12025-09-22: 12025-09-29: 32025-10-27: 22025-11-10: 12025-11-17: 12025-11-24: 12023-12-182025-11-24

Observations

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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.

The Atlantic: AI is a Mass-Delusion Event

from Bits and Bobs 8/25/25 ·

...: AI is a Mass-Delusion Event I've talked in the past about how a signal with a consistent bias across a population[bm] will stand out even amongst a ton of noise. That force powers evolution and other beneficial emergent phenomena. But it can a...

Terms have an "inferred definition."

from Bits and Bobs 7/7/25 ·

...iven term, and that bias will lead to what the term means, especially if it's a consistent bias many first-time hearers will share. Terms like "context engineering" are useful because they mean the thing that most experts hearing it for the firs...