Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
lowest common appears in 22 chunks across 19 episodes, from 2024-01-16 to 2026-05-26.
Its densest episode is Bits and Bobs 11/4/25 (2025-11-04), with 3 observations on this topic.
Semantically it travels with extremely expensive, ben mathe, and perfectly bespoke, while by chunk count it sits between exponential cost and qualitative nuance; its yearly rank moved from #73 in 2024 to #73 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2024-01-16 to 2026-05-26Mean1.2 per episodePeak3 on 2025-11-04
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 22 observations sorted from latest to earliest.
...an anonymous swarm can't have your data; that would be terrifying!
So the slow, lowest common denominator aggregator wins today, by default.
Even though it's slow to find new use cases, it finds more than the swarm, because the swarm isn't via...
... just too small to prioritize.
The result is monoliths tend to optimize for the lowest common denominator.
My friend Ivan riffed on this idea in Tyranny of the Marginal User a few months ago.
Monoliths also mean that users have to trust a smal...