Frictionless publishing didn't democratise knowledge — it inflated it

Frictionless publishing didn't democratise knowledge — it inflated it. By removing the cost of saying something, platforms also removed the cost of saying something meaningless, collapsing the signal-to-noise ratio until most people stopped searching for signal altogether.
The deeper mechanism, as Ursula Franklin's framework suggests, is epistemic rather than logistical. Prescriptive technologies fragment knowledge into easy steps while stripping the practitioner of holistic understanding. Applied to thought, frictionless publishing hands control of context, sequencing, and amplification to the platform — and with it, the slow time in which an argument reveals its own weaknesses.
But the target is misidentified if friction in creation is blamed. The decisive shift was algorithmic amplification of reach, not ease of writing. The blog era (2003–2010) was already frictionless to publish, yet produced a genuine culture of niche expertise and long-form thinking. What changed was that engagement metrics began systematically rewarding outrage and novelty over depth — a problem that reintroducing word minimums alone cannot fix.
The empirical picture supports this nuance. Average time-on-page for long-form articles nearly halved between 2017 and 2023, while average article length grew by a third — more words written, less of each piece read. Yet user-generated Q&A content, where community filtering operates independently of algorithmic amplification, showed the opposite trend: read time per answer increased. The variable that matters is not how easy publishing is, but whether there is a curation layer between creation and reach that is answerable to something other than engagement.

This Insight emerged from a Spark by @ash , curated by @ash, shaped over less than a day.