Deciding Early: The 70% Information Rule
Most decisions should be made with about 70% of the information you wish you had. - Jeff Bezos
—What lingers after this line?
Why Waiting for Certainty Backfires
Jeff Bezos’s observation challenges a common instinct: to delay decisions until we feel fully informed. Yet in fast-moving environments, the pursuit of perfect clarity often becomes a hidden cost—opportunities close, competitors act, and conditions change while you’re still gathering data. In that sense, indecision isn’t neutral; it’s a choice to accept drift. From this starting point, the “70%” idea reframes readiness as a threshold rather than a finish line. Instead of asking, “Do I know everything?” you ask, “Do I know enough to act without being reckless?” That shift makes momentum a strategic advantage rather than a sign of impatience.
The Logic Behind the 70% Threshold
The number itself is less a mathematical law than a practical guardrail. If you wait for 90–100% of the information, you’re usually optimizing for comfort, not outcomes—because the final increments of certainty tend to be expensive, slow, and sometimes impossible to obtain. By contrast, acting at roughly 70% often captures most of the value of being informed while preserving the benefits of speed. This connects to decision theory’s emphasis on opportunity cost: every day spent perfecting a choice is a day not spent learning from execution. Bezos’s rule implies that the missing 30% can often be recovered through iteration—provided the initial move is reversible enough to adjust later.
Type 1 vs. Type 2 Decisions
Building on the idea of reversibility, Amazon has famously distinguished between decisions that are hard to undo and those that can be changed. Bezos described “Type 1” decisions as one-way doors—high stakes and difficult to reverse—while “Type 2” decisions are two-way doors that can be revisited (Bezos, Amazon shareholder letters, 2015–2016 era discussions of decision velocity). Seen through this lens, the 70% rule applies most naturally to Type 2 decisions: hiring experiments, product tweaks, marketing tests, and process changes where feedback arrives quickly. For Type 1 choices—major acquisitions, safety-critical systems, irreversible reputational bets—the threshold for action rises, and the process shifts toward deeper diligence.
Speed as a Learning Strategy
Once you accept that not all knowledge is available upfront, speed becomes a way to convert uncertainty into information. A decision made at 70% isn’t meant to be final; it’s meant to create real-world feedback that no spreadsheet can fully provide. This is the logic behind iterative product development: shipping reveals what users actually do, not what they claim they’ll do. A simple anecdote captures the point: teams often debate for weeks about a feature’s value, then learn more in 48 hours from a limited A/B test than from months of internal argument. In that flow, the “missing 30%” isn’t ignored—it’s discovered through action.
Guardrails That Prevent Recklessness
Still, acting earlier only works if you pair it with constraints. Transitioning from speed to safety, good decision-makers define what must be true before acting: clear success metrics, a downside cap, and a rollback plan. In other words, you don’t need complete information, but you do need controlled exposure to risk. This is where pre-mortems help: imagining how the decision could fail and adding protections before launching (Gary Klein’s pre-mortem method, popularized in business contexts). The result aligns with Bezos’s intent—move quickly, but don’t confuse velocity with impulsiveness.
Where the Rule Can Mislead
To complete the picture, it’s important to note when 70% is not enough. In domains like medicine, aviation, security, or compliance, the costs of being wrong can be catastrophic, and information gaps may represent unacceptable hazard rather than tolerable uncertainty. In these cases, the decision process must prioritize robustness over speed. Even in business, the rule can be misused to justify underthinking. The spirit of the quote is not “decide with little evidence,” but “decide before the evidence is perfect, once the decision is sufficiently informed and you can still adapt.” The discipline lies in knowing which situation you’re in.
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