McCluster

The Behavior Lab · a working paper, published where the subjects can read it

The Grind:
a staged behavioral market.

TL;DR · 6 min full read
Series Equity Uprise Behavior Lab Model grind_v2 Status live in production July 2026

Abstract. The Grind is a live behavioral experiment running inside Equity Uprise's market: a two-model pricing engine in which a member's staged ticker price responds to daily interaction while the true book — priced on money and the record — is never altered. The design pairs a visible task board built on well-studied motivational mechanics (bounded daily reward, streak reinforcement, loss on silence) with a shadow instrument board: nine covert behavioral markers that pay no visible reward and exist purely as measurement. Every signal leaves the device as tagged telemetry and becomes training data for the deep worth model. This paper documents the full mechanics, the anti-gaming walls, what is and is not collected, and the ethical frame: the experiment is disclosed here, in public, in plain language, to the people inside it.

1 · Why stage a market at all

Every platform you use runs behavioral experiments on you. Almost none of them tell you. The feed reorders itself to hold your eyes, the notification fires at the hour you're weakest, and the results are read in rooms you will never enter. The Behavior Lab's position is the opposite: run the experiments in the open, publish the instrument designs, and let the subjects read the paper.

The Grind exists to answer a real pricing problem. A member's dollar worth (deals closed, money moved) is the honest number, but it moves slowly and arrives late — a photographer six weeks from their first booking shows a flat line no matter how alive they are. Engagement is the leading indicator: the member who walks Our Street daily, reads deep, and speaks inside deal threads is statistically becoming the member who closes. The Grind makes that leading indicator visible — carefully, inside a hard band, and never at the expense of the truth.

The mechanics borrow from the literature deliberately: bounded daily rewards and streaks lean on operant reinforcement schedules (fixed daily ratios, not slot-machine variable ones — a deliberate ethical choice), the idle penalty leans on loss aversion (losses weigh roughly twice as much as equivalent gains, so a small daily bleed outworks a large occasional bonus), and the always-fuller-than-cashable task board uses the goal-gradient effect — effort accelerates near a visible goal that renews daily.

2 · The two-model architecture

The engine's honesty invariant is structural, not aspirational — the two numbers live in different models and only one of them can be bent:

ModelPrices onCan the Grind move it?Who sees it
M-GRIND (staged)Interaction: tasks, streaks, silenceYes — clamped to [−10%, +8%]The public floor, in points
M-WORTH (true book)Money and the record: deals, dollars, ratingsNeverEach member sees only their own

Money keeps roughly ten times the weight by construction: the staged boost lives inside a hard ±band while labor dollars have no cap. Our Street's public prices are staged and say so; the private worth number is computed only from RLS-locked inputs and is never theatrically adjusted. We call this the dark-not-fake law: a number may be withheld, styled, or staged within a disclosed band — it may never be invented.

3 · The visible board — the part the player is shown

Six tasks are offered daily; only three can pay. The arithmetic, exactly as it runs:

4 · The shadow instrument board — the part the player is not shown (until now)

Nine markers fire on behavior nobody is asked to perform. They pay no boost — only E, the training signal — because a measurement that pays visibly stops measuring and starts incentivizing. Publication of this table is the disclosure:

MarkerFires whenWhat it reads
dwell_60A full minute on one pageAttention span
scroll_deepRead past 80% of a long pageDepth of reading
wandererWalked 4+ rooms in a dayBreadth of curiosity
night_owlMoved between midnight and 5amChronotype
early_birdMoved between 5 and 8amChronotype
vr_pilotEntered the 360° cabinNovelty seeking
listenerPlayed 3 different songs in a dayCatalogue engagement
closerSpoke inside a deal threadDeal sociality — the strongest predictor we watch
scholarRead the fine rooms — docs, amenities, markersDiligence

Together the markers sketch a behavioral profile: when a member moves, how deep they read, how wide they roam, and whether they talk where money is decided. The operator's desk aggregates them into per-player grades (S/A/B/C) and, in the People room, into named archetypes — The Closer, The Grinder, The Watcher, The Ghost — labels computed from the numbers in the open, so they can be argued with.

5 · The exhaust is the product

Every grind event leaves the device tagged model:grind_v2 with the hour, the day of week, the page, the streak, and the instrument id, and lands in the platform's own first-party events table (never a third-party broker). This exhaust has one job: teaching the deep model which behaviors predict real deal flow. When M-WORTH graduates, it will weigh a member's history knowing, from data, that closer behavior at 2pm predicts bookings and wanderer behavior at 3am predicts churn — or whatever the data actually says, which is the point of running the experiment instead of guessing.

6 · Ethics — the rules the lab runs by

7 · Live and upcoming experiments

Reproducibility note. The engine described here ships in the site's own JavaScript, unminified, in public view — the rare psychology experiment whose full source is the publication.

8 · Limitations

Device-keyed instruments undercount multi-device players and overcount shared devices. Chronotype markers read local clock, not sleep. E and boost are proxies with known ceilings, chosen for legibility over sensitivity. Archetype labels are heuristics on small-n data and are presented as conversation, not verdict. The lab's honest posture: publish the design, watch the data, revise in public.