We don't write case studies on the hundreds of companies that failed while trying similar playbooks. We incorrectly attribute success to the visible strategies of survivors (like an org model) while ignoring luck, timing, and funding, which are often the real differentiators.

Success creates a "reinforcement learning" loop, codifying a firm's methods. When a paradigm shifts, like the move to AI, this reinforced playbook becomes a liability. The more successful a firm was in the prior era, the harder it is for them to adapt to new, foundational business assumptions.

Founders who achieve product-market fit often attribute success to surface-level features (e.g., "saves time") rather than the deep underlying physics. This flawed understanding leads them to build new products based on incorrect assumptions, dooming them to fail when they try to innovate again.

In the zero-to-one phase, founders develop a deep understanding of what causes success. As the company scales, new hires join with their own "best practice" frameworks. This makes it incredibly difficult for the founder to instill the original, hard-won causal logic into the growing team.

When evaluating others' success, ask if their strategy would work for most people who adopt it, or if it relied heavily on luck. If a strategy isn't reproducible and leaves many casualties behind, it's not a model to be learned from, regardless of the impressive outlier outcome.

The argument "it works for Google" is often used to shut down critiques of frameworks like OKRs. This appeal to authority—a "credential parade"—prevents companies from adding necessary guardrails or tailoring the system to their unique ethical and business context, promoting risky cargo-culting over critical thinking.

Nassim Taleb's "narrative fallacy" describes how we construct overly simple stories about the past. Focusing on Google's successful decisions exaggerates the founders' skill while ignoring the critical role of luck and the countless other companies that failed despite similar strategies.

Eric Ries argues that founder burnout and companies losing their values aren't inevitable costs of success. They are the direct result of widely accepted but value-destroying "best practices" for how companies should be built, structured, and governed, which founders have the power to change.

The perceived magic of early-stage startups isn't role ambiguity, but the rapid feedback and high trust that small teams enable. Founders who try to preserve ambiguity as "culture" during scaling are misdiagnosing their own success. This leads to chaos and burnout rather than maintaining the initial energy.