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Owen Li

Commissioner, Oakland Planning Commission

We identified Li’s voice at seven meetings.

7 of 11transcribed meetings with their voice identified
Talk time, and Li’s other bodies
Neighborhoods Li named

2 places Li named in meetings

Lines where Li named the place, read by two AI readers that both agree it means that place. Each dot plays the newest one; brighter means named more often.

Oakland
  • Lake Merritt 1 time
  • Trestle Glen 1 time

Places are drawn at the centre of their own boundary in the city’s neighborhoods (CEDA) file (City of Oakland Open Data Portal); a well-known area with no boundary of its own sits at its OpenStreetMap point. A dot says the place was named, not where Li was or what was said about it.

Meetings

Every meeting where we identified Li’s voice

Seven, newest first. The date opens the meeting; the time plays the video at Li’s first remark.

  1. Sep 23, 2026Planning Commission2.5 min44:40
  2. Jul 15, 2026Planning Commission1.2 min40:12
  3. Jun 3, 2026Planning Commission0.6 min32:48
  4. May 20, 2026Planning Commission6.1 min31:18
  5. Apr 1, 2026Planning Commission1.1 min1:02:08
  6. Feb 18, 2026Planning Commission2.0 min2:01:04
  7. Feb 4, 2026Planning Commission1.9 min1:36:13
How we identify who is speaking · blind check, pooled across five cities: of 340 commission lines drawn, 260 right, 4 wrong, 1 unclear, 75 couldn’t be judged

A meeting missing here means we couldn’t attribute the voice, not that Li was absent. Claude and Gemini each read every transcript with that day’s roster. A voice gets Owen Li’s name only when both agree and a code check finds the name said on, or just before, their turn. Voices our transcripts merge with someone else’s are never attributed, so every count here undercounts what Li said. For commissions, of 340 lines drawn, 260 were right, 4 wrong and 1 unclear, and the checkers couldn’t judge 75. We have since removed the voices behind 64 of those lines (3 wrong, 0 unclear, the rest we had already held for other reasons). Of the 276 lines we still publish, the checkers could judge 228: 226 right, 1 wrong and 1 unclear (90% lower bound 0.97). They couldn’t judge the other 48. The check is one sample pooled across the five cities, not of Li or of Oakland alone.