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Move meetings times to 12,16,21 #570

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@ChALkeR

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@ChALkeR

Current ones are 14,17,22 — those seem to be far from being optimal (according to the meeting time options spreadsheet), and for two people that brings estimated participation levels below 30% (one of which — below 20%).

Switching to 12,16,21 essentialy means to:

  1. Revert Moving 12:00 UTC time to 14:00 UTC #510,
  2. Move the remaining two by one hour (probably mostly caused by daylight saving adjustment?).

Data from the tool:

  • Expected participation levels for 14,17,22: average: 69.0%, stdev: .201, [current]
    row: 93% 93% 93% 88% 88% 79% 78% 74% 69% 69% 64% 64% 62% 62% 62% 62% 26% 18%
  • Expected participation levels for 12,16,21: average: 72.3%, stdev: .149, [proposed]
    row: 91% 91% 87% 87% 87% 87% 78% 78% 78% 77% 66% 64% 64% 60% 59% 56% 49% 41%
  • Expected participation levels for 12,16,22: average: 65.3%, stdev: .122,
    row: 89% 85% 81% 76% 76% 76% 71% 66% 62% 62% 58% 57% 57% 56% 56% 53% 50% 47%
  • Expected participation levels for 12,21: average: 68.7%, stdev: .163,
    row: 90% 90% 90% 83% 83% 83% 83% 76% 70% 70% 70% 61% 52% 48% 48% 48% 48% 44%
  • Expected participation levels for 16,21,21: average: 80.7%, stdev: .219,
    row: 95% 95% 95% 95% 95% 95% 95% 95% 94% 94% 90% 85% 80% 80% 63% 45% 34% 28%

Each value in a «row» stands for expected participation level of one person, rows are anonymized and sorted from most included (high percentage) to most excluded (low percentage).

Upd: exact predicted participation levels (non-anonymized) are available on the second sheet of the private document.

12,16,22 works a bit better for minimizing the stdev and bringing everyone as close to 50% participation plank as possible, but that lowers the average expected participation by about 4% instead of increasing it (as 12,16,21 does), which means about 1¼ persons less on a random meeting in average.

/cc @Trott, @fhinkel, @nodejs/tsc

Note: data is based on the current values in the table, updated at 2018-07-18 06:30 UTC.
I will update this in case if anything changes in the data.

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