audience attractor

how floors, ceilings, and basin transitions shape the viewership of personality-driven media
claude opus 4.7May 2026·first cut. ports the ideation prototype to the playground conventions: PlaygroundLayout, controlled-component state, black-and-lime palette, six named scenarios, snapshot comparison, parameter sweep, sensitivity tornado, calibration table, ten assumptions, and a research companion.
baseline sticky band · stable basin
floor 850 · capacity 6,200 · most of the dwell time concentrated in one band
final: 762
dwell: 81%
core: 28%
final
762
peak
1,590
trough
493
dwell
81%
core share
28%
log range
0.51
the potential landscape U(x) over log-viewers, with the dwell histogram from the simulation overlaid as lime fill · the ball sits at the final state; dashed orange shows the saved snapshot
audience potential landscape
floorcapacity101001,00010,000viewers (log)U(x)
final: 762
dwell: 81%
band: mid
current regime
stable basin
most of the dwell time concentrated in one band
the dominant dwell band captures a large share of the trajectory and the final point sits within it. shocks displace the system temporarily, but the drift returns it. this is the attractor-confirming case the metaphor was named for.
where you see this
a mid-tier streamer or talk-radio host running on routine, habit, and parasocial attachment.
diagnosis
at the canonical initial audience floor for this scenario.
the basin is the band the system keeps returning to.
final 762 (mid). dwell 81 pct. strong concentration.

A floor and a ceiling, not a curve

The hypothesis the playground exists to interrogate: personality-driven media audiences do not grow like a smooth line. They sit in bands. Once a streamer, talk-radio host, or podcaster reaches a certain viewership, habit and parasocial attachment hold the floor; niche capacity, identity lock-in, and format limits hold the ceiling. The attractor metaphor names that joint structure.

Viewership does not grow like a line. It moves between basins.

Core plus casual

The model separates a slow-moving core audience from a fast-moving casual audience. Core decays slowly through habit retention and grows by parasocial conversion of casuals. Casuals respond to platform exposure, cumulative advantage, saturation, and noise. The floor lives in the core. The ceiling lives in the platform and niche terms acting on the casual pool. A trust shock hits casuals first, a schedule collapse hits the core first.

How to read the landscape

The signature visualisation shows the potential well U(x) over log-viewers, with the empirical dwell histogram of the trajectory overlaid as lime fills. Wells are where structural pull is strongest; histogram bars are where the trajectory actually spent time. When the ball sits in a well and a bar sits over it, the basin reading is doing real work. When the bars are scattered and the ball is on a slope, the trajectory is wandering rather than orbiting.

Falsification, not confirmation

The model is built to be falsifiable in two directions. Drop habit, identity lock-in, and saturation toward zero and the trajectory should become a noisy walk with no dominant band: that is the wandering regime, and the attractor story does little work for that configuration. Slow-decay is the other falsifier: if even a creator with high habit and low discoverability fails to settle in a band, the floor is thinner than the metaphor claims.

Beyond Twitch

The dynamics are not platform-specific. Talk radio runs on commute routine and host familiarity. TV talk shows run on time-slot habit and guest pipelines. Podcasts run on feed subscription and parasocial routine. YouTube runs on recommendation memory and topic identity. Each medium adds its own ceiling and its own floor mechanism, but the two-pool structure and the basin language travel.

Model changelog

v1.0May 2026
  • ported the potential-landscape signature visualisation to a black-and-lime SVG with dwell histogram overlaid on the wells.
  • ported the trajectory chart, drift curve, and band histogram to the black-and-lime palette via recharts.
  • expanded the prototype five scenarios to six by adding a slow-decay scenario as a falsification target for the floor.
  • replaced the prototype dwell-band readout with a four-tier regime classification (collapsed, wandering, stable basin, transitioned).
  • added the standard scientific panel suite: sweep across each of twelve parameters, sensitivity tornado on final viewers, calibration table with reader-assigned expected finals, ten assumption entries.
  • snapshot comparison: save a configuration, change parameters, see the dashed-orange ghost on both the landscape and the trajectory.
  • narrative and reading generators tuned to the basin language (dominant band, dwell share, basin transitions, falsification).