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title: The Perpetual "5-10 Years Away" Pattern description: This MicroSim visualizes one of the most telling patterns in quantum computing history: every five years or so, proponents predict that useful quantum computing is "just 5-10 years away." When the image: /sims/prediction-pattern/prediction-pattern.png og:image: /sims/prediction-pattern/prediction-pattern.png


The Perpetual "5-10 Years Away" Pattern

This MicroSim visualizes one of the most telling patterns in quantum computing history: every five years or so, proponents predict that useful quantum computing is "just 5-10 years away." When the predicted date arrives without a breakthrough, the goalpost quietly moves forward by another 5-10 years.

Each colored arrow represents a prediction, stretching from the year it was made to the year it claimed useful quantum computing would arrive. The red dashed line marks today. Notice how every arrow that has reached the present has been falsified, yet new predictions with the same time horizon keep appearing.

Prediction Pattern MicroSim

View Prediction Pattern MicroSim Fullscreen

Hover over any arrow to see who made the prediction, what was claimed, and whether it has been falsified. The pattern box in the upper right summarizes the key finding: zero out of six predictions have been fulfilled.

Key Takeaways

  • Perpetual horizon: The predicted arrival date of useful quantum computing has moved forward at roughly the same rate as time itself.
  • Zero fulfillment rate: Not a single prediction of commercially useful quantum computing has come true.
  • Consistent optimism bias: Despite repeated failures, each new prediction carries the same confidence as the last.
  • Compare to other technologies: This "always N years away" pattern also appears in controlled fusion and other technologies that face fundamental physics barriers, not just engineering challenges.

Questions for Investigation

  1. Why do prediction horizons cluster around 5-10 years? What incentive structures reward this specific timeframe?
  2. If predictions were calibrated, what fraction should have come true by now?
  3. How would you design a prediction that could actually be falsified in a meaningful timeframe?