A practical guide for Mentors and the IPMC
This guide summarises governance activity on incubator-general from 2015 to 2025 by analysing:
Participation is measured only by the number of unique email addresses per thread.
This guide explains what data from 2015 to 2025 shows about Incubator governance activity on the incubator-general list. It combines:
The main findings are:
This guide helps mentors and the IPMC interpret the list activity based on measured data rather than anecdote.
Governance activity closely follows podling population levels. Higher podling counts correspond to more governance threads, more votes, and more total traffic.
Lower counts reduce overall traffic, although governance threads make up a larger share of the list.
This reflects demographic changes, not shifts in expectations or culture.
Across 2015 to 2025 there were:
Most are release votes, with fewer graduation or retirement votes.
Release work exposes licensing, NOTICE, and packaging issues and is the clearest indicator of real progress.
Note: release vote counts include both successful and failed attempts (multiple release candidates).
When release votes per year are divided by the number of active podlings, we see:
Podlings are releasing more frequently relative to their number.
They tend to reach their first release sooner and maintain a steadier cadence.
The Incubator is smaller, but podlings appear more active in release work.
Repeated release votes with the same version number provide a proxy for revotes.
Most releases pass on the first attempt, but some versions appear multiple times in a single year. These repeated attempts decline sharply after 2020, even adjusting for a lower podling population.
This suggests improved release hygiene, clearer documentation, and better mentoring support.
Graduation vote counts vary by year. The clearest influence is intake timing:
Graduation timing depends on community maturity, release quality, and sustained engagement, not chronological cycles.
Retirements were more frequent early in the dataset, with a notable spike in 2023.
Lack of releases and list silence around month twelve remains the clearest early sign of trouble.
The data shows timing, not causes, so interpretation should remain cautious.
Median vote duration per year varies from 7 hours to 37 hours. Median vote duration is always under 72 hours. Faster years (2022–2025) align with lower podling counts and indicate high reviewer availability.
Higher podling populations tend to correlate with more variable vote durations.
Vote latency is a helpful indicator of system load, though not a precise function of podling count.
Patterns across 2015 to 2025 suggest that the fastest behaviour appears only once podling counts fall to the low forties. Above 60 podlings, vote durations are never that fast.
These are heuristic observations, not hard limits, but they suggest that maintaining podling counts below about 50 supports faster, more predictable voting behaviour.
The data does not provide causation but shows a strong association:
Faster releases appear to reduce retirement risk, or at least correlate strongly with podlings that continue to build community. This aligns with long-standing mentoring experience and is supported by the observed patterns.
Earlier years show higher overall message volume.
Later years show lower traffic but a higher share of governance threads (10–13 percent in most years after 2017).
The list carries less incidental noise and a higher proportion of structured governance activity.
Threads vary from low diversity (1–2 participants) to high diversity (6 or more).
Higher diversity indicates broad engagement; lower diversity indicates concentrated participation.
Consistently low diversity in a podling’s governance threads may signal concentrated governance and warrant mentor attention.
Most governance threads involve small groups and short discussions:
Longer or larger threads are uncommon and typically relate to graduations, retirements, naming issues, or problematic release candidates.
These patterns are stable and suggest predictable governance behaviour.
DISCUSS threads are always far fewer than VOTE threads, reflecting that:
DISCUSS counts decline after 2017, while VOTE counts remain stable.
Governance discussions appear more focused and predictable over time.
The analysis uses:
AI was used to help normalise subjects, summarise data, and draft narrative sections.
All numeric values come directly from the generated CSV files and podlings.xml, and all statements have been reviewed to ensure they align with the data.
From 2015 to 2025, incubator-general displays consistent governance behaviour. Governance activity follows podling population, release work dominates governance threads, release cadence per podling has increased, and vote durations provide a useful indicator of overall load.
Participation, diversity, and silence remain strong early-warning signals. The Incubator operates across a wide range of podling counts, but the data suggests that lower podling counts support faster and more predictable governance behaviour.
These findings help mentors and the IPMC interpret list activity using measured data rather than anecdote.