── ── Cognitive bias
Status Quo Bias
Status quo bias is the systematic preference for the current state over available alternatives — even when alternatives are objectively superior by the person's own values. "Doing nothing" is an active decision to accept the current state with real opportunity costs, not a non-choice. Coined by Samuelson & Zeckhauser (1988). Organ donation consent rates of 4–99% across European countries differ…
Run Status Quo Bias on a real problem
Bring something you're actually deciding — free, in the browser.
How it works
Step 1 — Identify default: Current state · who controls it · how established · how long without re-evaluation. Step 2 — Identify alternatives: List alternatives · why not adopted · substantive cost vs. inertia? Step 3 — Fresh-choice test: Which option would you choose starting from scratch today? Gap from status quo? Switching cost estimate · net value of better alternative minus switching cost. Step 4 — Cost of inaction: Annual cost of status quo over optimal · over 3 years · break-even switching point · is the status quo deteriorating? Step 5 — Direction: Design (what default serves average user?) or Audit (override / accept with justification / redesign)? Step 6 — Implement: Change plan · timeline · ownership · review date.
When to use it
- user says 'we've always done it this way', 'changing now would be too disruptive', or 'no one is complaining so why change'
- a team is slow to adopt a clearly better option
- someone frames inaction as safe when omission carries real costs
- you are designing enrollment/default settings and need to choose opt-in vs opt-out
When not to use it
When the decision is routine and reversible, applying a formal method costs more than it returns.
Worked example
Enterprise AI Adoption and the Incumbent-Vendor Default (2023–2026)
From late 2022 onward, generative AI made a class of new, AI-native tools broadly available to enterprises — coding assistants, retrieval-and-chat layers over internal documents, AI-first customer-support and analytics products. Yet across 2023 and into 2026 many organizations kept routing work through incumbent SaaS suites and existing manual workflows, waiting for their established vendors to ship AI features rather than evaluating AI-native challengers on the merits. The recurring justification — "let's wait and see, switching now is risky" — is a textbook instance of inertia…
Install this skill (free, MIT)
npx skills add deciqAI/knowledge-skillsUseful? Star the repo — stars help other builders find it.
Related mental models
Most communication failure is a failure of sequence and mode — not information.
Survivorship bias is drawing conclusions from a sample pre-filtered by survival — treating survivor traits as the cause of survival when non-survivors (absent from data by…
The voltage effect is John A. List's name for what happens to most promising ideas when they scale: they lose voltage — they fail, shrink, or…
Wu wei (无为) — Daoist principle (Daodejing, ~4th century BCE): act without forcing, not without acting.