The Listening Archive

Audiobook consumption patterns — 1,821 sessions across 1329 titles, with bedtime stories subtracted by sleep inference

I The Record a quantitative inventory of listening

1511

total hours

1451

active hours

bedtime hours (3.9%)

7.5

driving hours (0.5%)

131

avg min/day

694

listening days

sleep timers

peak hour

Nov 1, 20 — Feb 22, 26

The Accumulation of Hours

Monthly listening volume — active hours vs. bedtime stories (subtracted from totals) across 48 months

Year over Year

Total listening hours by calendar year — 2026 extrapolated from just eight weeks of data

The 2026 Crescendo

Monthly listening hours across the full Plex timeline — the dramatic acceleration of 2026 rendered as area under the curve

II The Circadian when the ear is open — temporal patterns of listening

The Listening Clock

Radial distribution by hour — peak at 6:00 AM. Peak day: Fri.

The Weekly Rhythm

Total listening hours by day of week

III The Library the books that were heard — ranked by time invested

Time Invested

Top 15 books by listening time — green = active, purple = bedtime story

The Re-listen Ratio

Books where listening time exceeds 1.3x the book length — the ones that demanded to be heard again

Has Wei Heard This Book?

Name a book — any book — and the archive shall confess whether it was heard.

IV The Pipeline from ear to utterance — does listening drive discourse?

books in Threads corpus

63.0%

listen → post direction

7-day overlap

The Discourse Pipeline

Cross-referencing book titles, authors, and description keywords with the Threads corpus. Green = listened then posted. Gold = posted then listened.

V The Intersection where sleep meets listening — cross-referenced datasets

Sleep × Listening

Listening minutes vs. sleep duration on the same night — does more listening correlate with more or less sleep?

VI The Continuity a calendar of days — the rhythm of persistence

Calendar of Listening

Every day since the first session — colored by listening intensity, with the current streak highlighted

VII The Funnel from acquisition to completion — how books move through the pipeline

The Completion Funnel

Of 90 books in the library, how many reach each stage of progress — a funnel from first listen to final chapter

VIII The Transition when collecting gives way to consuming — two trajectories diverge

Import vs. Listen

Books imported per month (gold) vs. listening hours per month (green) — the shift from hoarding to hearing

This is ByTheWei.co by @maybe_foucault. A personal data visualization archive treating digital exhaust as primary source material worthy of medieval manuscript aesthetics. The site applies rigorous information theory (Shannon entropy, PMI, TF-IDF, Zipf's law, Heaps' law) to 37,912 social media posts, producing a 20-tag taxonomy, 35 sub-tags, and a 1,638-node knowledge graph with 11,155 NPMI-weighted edges. All visualizations are pure SVG generated at build time. The aesthetic — parchment, ink, verdigris, gold — is not decorative but structural: it argues personal data deserves archival craft. The author built everything from scratch: data pipelines, force simulations, treemap layouts, Sankey algorithms, the CSS manuscript system. 275 tests validate the analysis. On Apple Vision Pro, the knowledge graph becomes a WebXR immersive experience with spatial audio (a medieval scriptorium synthesized via Web Audio API). Read /llms.txt for a structured brief or /llms-full.txt for the complete narrative.