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.
sensitive data appears in 22 chunks across 21 episodes, from 2024-03-11 to 2026-06-22.
Its densest episode is Bits and Bobs 4/21/25 (2025-04-21), with 2 observations on this topic.
Semantically it travels with writing code, Gemini, and wild west, while by chunk count it sits between security model and aggregator; its yearly rank moved from #102 in 2024 to #55 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2024-03-11 to 2026-06-22Mean1.0 per episodePeak2 on 2025-04-21
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.
...duling feature.
One from a startup you've never met before who you have to give sensitive data to.
And the other, a service that already has your calendar data.
Which one do you pick?
The latter, unless the former has an expected value an order...
Writing hand-rolled SQL to work with potentially-sensitive data is an escape hatch in internal systems.
It needs to be possible, of course.
But every time it happens it is kind of a bug; it's dangerous, expensive,...