Attrition Burn-Rate Dashboard¶
Monitor — instantiates Attrition Contest Exit Design
Makes an endurance contest visible in real time — who is spending what per unit time, and how fast the prize itself is decaying — so "winning" can be checked against its shrinking payoff.
A war of attrition runs on things nobody is watching: the cash going out every week, and the value of the thing being fought over quietly eroding while the fight drags on. Attrition Burn-Rate Dashboard puts both on one panel. It tracks each side's running cost per unit time and, on the same timeline, the decaying value of the prize — so a team can see the moment cumulative cost is on track to overtake even the winner's payoff. Its whole distinguishing move is holding burn and prize-erosion side by side: an ordinary cost report tells you what you're spending, but only the paired view tells you that you are winning a race toward something worth less than the running.
Example¶
Two ride-hail apps are locked in a subsidy price war in a mid-size city, each discounting rides and paying driver bonuses to starve the other of supply. Leadership on both sides treats it as "hold the line until they crack." The dashboard reframes it. It plots each side's weekly burn — rider subsidies plus driver incentives, roughly $2.1M/week — against an estimate of the prize: the steady-state margin available once one competitor quits, which is itself decaying ≈8% a quarter as riders come to expect cut-rate fares and regulators start circling. The paired curves show a crossover roughly 11 months out, where cumulative burn exceeds the residual prize for the eventual winner. That single picture moves the conversation from "who blinks first" to "this contest destroys value for whoever wins it," and hands the decision over to the stop-loss and settlement machinery.
How it works¶
- Scope the contest. Name the parties, the prize, and the attritional actions being counted — the operating definition the rest of the panel measures against.
- Profile the burn. Track running cost per unit time, attributed by driver (what each dollar is actually buying), for your side and a best-estimate of the opponent's.
- Map the prize decay. Model the value of winning as a curve that erodes with time, not a fixed pot.
- Surface the crossover and runway. Show where cumulative cost overtakes the shrinking prize, and how long each side's resources last at current burn.
It is a visibility instrument, not a decision rule — it renders the economics; something else acts on them.
Tuning parameters¶
- Metric granularity — lump burn or itemize by driver. Finer attribution shows where the money actually goes but costs instrumentation effort.
- Opponent-burn confidence — how much to trust the estimate of the other side's spend, which they may be actively obscuring or bluffing.
- Prize-decay model — how aggressively the prize is assumed to erode; the softest, most consequential assumption on the panel.
- Refresh cadence — live vs weekly. Faster refresh catches inflection points but invites overreaction to noise.
- Runway horizon — how far ahead to project each side's exhaustion point.
When it helps, and when it misleads¶
Its strength is converting a vague "this is getting expensive" into a dated crossover and a runway — the difference between nerve and evidence in an endurance fight.[n1] It is the input the exit machinery needs.
Its failure modes come from what it must estimate. Opponent burn is inferred, not observed, and a canny rival will feed the inference a bluff — appearing flush to prolong the contest. Prize decay is the hardest quantity to model and the easiest to flatter, so an optimistic curve can hide the crossover entirely. And a dashboard measuring "who's ahead" can itself become a scoreboard that fuels the contest, turning visibility into a reason to hold on. The discipline that keeps it honest is to treat opponent figures as inference (not ground truth), carry the prize-decay uncertainty openly, and wire the panel to a pre-set stop-loss so that seeing the crossover triggers exit rather than pride.
How it implements the components¶
attrition_contest_definition— the panel's scope: who is in the contest, what the prize is, and which attritional actions are counted.prize_value_decay_map— the prize-erosion track, modelling the value of winning as a decaying curve rather than a fixed pot.running_cost_profile— the burn track, cost per unit time attributed by driver for each side.
It does not set the exit threshold — that is Contest Stop-Loss Rule — and it does not provide a settlement channel — that is Mediated Off-Ramp Protocol. This is the instrument that makes the contest visible; other mechanisms decide and exit on what it shows.
Related¶
- Instantiates: Attrition Contest Exit Design — supplies the real-time visibility the rest of the design acts on.
- Sibling mechanisms: Contest Stop-Loss Rule · Sunk-Cost Reset Review · Reservation-Value Disclosure Proxy · Face-Saving Exit Script · Mediated Off-Ramp Protocol · Mutual Standstill Agreement · Collateral-Harm Escalation Trigger · Post-Exit Non-Retaliation Commitment · Time-Boxed Contest Conversion
Editorial Notes¶
Form Classification¶
Form family: Monitoring, Sensing & Alerting
Rationale: Makes an endurance contest visible in real time — who is spending what per unit time, and how fast the prize itself is decaying — so 'winning' can be checked against its shrinking payoff, making its operative form repeated observation of actual state that emits measurements, status, or alerts.
Independent corroboration: The frozen evidence defines Attrition Burn-Rate Dashboard as 'Makes an endurance contest visible in real time — who is spending what per unit time, and how fast the prize itself is decaying — so 'winning' can be checked against its shrinking payoff', so its operative form is Monitoring, Sensing & Alerting.
Review outcome: Independent reviewer agreement; high confidence.
Origin Attribution¶
Primary origin: Military & Strategic Studies
Origin pattern: Cross-disciplinary synthesis
Present-day reach: Specialized
Rationale: Strategic studies treats contests of endurance as wars of attrition governed by relative staying power and prize erosion.
Related originating lineages:
- Economics & Finance — Game theory formalized war-of-attrition payoffs and accumulating participation costs.
- Operations Research — Operational dashboards supply time-indexed burn and remaining-capacity monitoring.
Review resolution: Military and strategic studies are the agreed primary lineage. Financial burn-rate concepts and operations-research forecasting materially structure the dashboard; despite cross-disciplinary inputs, its attrition-monitoring use remains specialized and the combined artifact is synthesized.
Encyclopedia synthesis: The exact catalogued form synthesizes established practice rather than reproducing a single standard historical label.
Review outcome: Reconciled after independent review; high confidence.
Notes¶
The opponent's burn figures are inference, not fact — a well-resourced rival can present a misleading picture of its own runway precisely to keep you spending. Read your own side's numbers as measurement and the other side's as a stress-tested guess, and never let the dashboard's "who's ahead" framing become the reason to continue.
[n1] In evolutionary game theory the war of attrition (Maynard Smith) models a contest decided purely by who is willing to keep paying a mounting cost the longest; its unstable feature is exactly that persistence signals resolve, which is what this dashboard is built to expose rather than reward. ↩