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Quiz: Cognitive Biases in Quantum Computing Investment

Test your understanding of the psychological biases sustaining quantum computing investment and how they compound to distort decision-making with these review questions.


1. Which cognitive bias occurs when past irrecoverable expenditures influence decisions about future spending?

  1. Anchoring bias
  2. Sunk cost fallacy
  3. Bandwagon effect
  4. Optimism bias
Show Answer

The correct answer is B. The sunk cost fallacy occurs when money, time, or effort already spent — which cannot be recovered — influences decisions about whether to continue investing. Rationally, only future costs and benefits should matter. In quantum computing, the sunk cost fallacy operates at every level: governments that committed billions, corporations that hired hundreds of PhDs, and VCs holding positions at inflated valuations all face pressure to continue rather than acknowledge losses that have already occurred.

Concept Tested: Sunk Cost Fallacy


2. A quantum computing investor reads McKinsey's projection of a \(450-850 billion market, then encounters skeptical evidence and revises their estimate to "\)100 billion — even if McKinsey is off by 80%." Which bias is primarily at work?

  1. Survivorship bias
  2. Narrative fallacy
  3. Anchoring bias
  4. Dunning-Kruger effect
Show Answer

The correct answer is C. Anchoring bias causes an initial piece of information to disproportionately influence subsequent judgments. The investor's "skeptical" estimate of $100 billion feels conservative because they adjusted downward from the $450 billion anchor, but the correct starting anchor is closer to $0 in commercial revenue. The McKinsey projection is based on assumptions about physics breakthroughs that have not occurred, making 10% of a fictional number still fictional. The investor adjusted insufficiently from a misleading anchor.

Concept Tested: Anchoring Bias


3. An investor evaluating a quantum computing startup attends a conference, learns key terminology, and feels confident they understand the technology well enough to invest. Which bias does this illustrate?

  1. Authority bias
  2. Confirmation bias
  3. Bandwagon effect
  4. Dunning-Kruger effect
Show Answer

The correct answer is D. The Dunning-Kruger effect describes how people with limited knowledge in a domain overestimate their competence. The investor learned terms like "superposition" and "entanglement" but cannot assess whether error rates are fundamentally limited, whether the 1,000:1 qubit overhead can be reduced, or whether decoherence is an engineering or physics problem. Their superficial familiarity produces unwarranted confidence. Meanwhile, the true experts who understand the barriers are often in positions where expressing skepticism is career-limiting.

Concept Tested: Dunning-Kruger in QC


4. A quantum computing researcher privately doubts their company's timeline but remains publicly silent because colleagues who expressed skepticism were excluded from conferences. Which bias category does this behavior reflect?

  1. Commitment escalation bias
  2. Knowledge illusion bias
  3. Information distortion bias
  4. Social pressure bias operating through groupthink
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The correct answer is D. This is groupthink — a social pressure bias where a cohesive group prioritizes consensus over critical evaluation, suppressing dissent. The researcher engages in self-censorship because the social cost of skepticism (conference exclusion, colleague criticism, grant denial) outweighs the benefit of honest assessment. The quantum computing community exhibits classic groupthink symptoms: illusion of invulnerability, stereotyping of outsiders, direct pressure on dissenters, and the illusion of unanimity created by this suppression.

Concept Tested: Groupthink


5. A venture capital partner justifies their quantum computing investment by noting that "Google, IBM, and Microsoft are all investing billions — they must know something." Apply your understanding of cognitive biases to identify the primary bias and explain why the reasoning is flawed.

  1. Narrative fallacy, because the VC is constructing a story from unrelated facts
  2. Bandwagon effect, because the perceived popularity of the investment substitutes for independent analysis
  3. Optimism bias, because the VC is overestimating the likelihood of positive outcomes
  4. Motivated reasoning, because the VC wants to reach a specific conclusion
Show Answer

The correct answer is B. The bandwagon effect occurs when the perceived popularity of a belief increases its adoption. The VC's reasoning is circular: large corporations invest because other large corporations invest, which creates social proof that attracts more investment. But corporate quantum computing programs are often driven by the same biases — FOMO, prestige competition, and the desire to appear innovative. The number of investors is not evidence of technical viability. VC firms regularly lose money on individual investments, so their participation proves only that they made a bet, not that the bet is sound.

Concept Tested: Bandwagon Effect


6. A press release states: "Our new 1,121-qubit processor represents a major step toward fault-tolerant quantum computing." An investor who believes in quantum computing finds this very persuasive, while a skeptic notes it says nothing about error rates. Which bias explains the divergent interpretations?

  1. Confirmation bias, because each interpreter filters the same evidence through pre-existing beliefs
  2. Authority bias, because the company is perceived as an expert
  3. Sunk cost fallacy, because the investor has already committed money
  4. Anchoring bias, because the qubit count serves as a numerical anchor
Show Answer

The correct answer is A. Confirmation bias causes people to interpret ambiguous evidence in ways that confirm their pre-existing beliefs. The believer interprets the qubit milestone as progress toward useful quantum computing; the skeptic notes that qubit count without fidelity data is meaningless for fault-tolerant computation. Confirmation bias is particularly dangerous in quantum computing because the field produces a steady stream of genuine but commercially irrelevant progress — real achievements that confirm the biased observer's beliefs while remaining insufficient for commercial viability.

Concept Tested: Confirmation Bias


7. Analyze how information asymmetry amplifies the Dunning-Kruger effect specifically in quantum computing investment decisions.

  1. Information asymmetry has no relationship to the Dunning-Kruger effect
  2. Information asymmetry allows experts to manipulate non-experts through deliberate deception
  3. The knowledge gap prevents investors from recognizing what they do not understand, producing false confidence in superficial assessments
  4. Information asymmetry only affects retail investors, not institutional decision-makers
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The correct answer is C. Information asymmetry means investors cannot independently verify technical claims, which directly amplifies the Dunning-Kruger effect. When an investor learns basic quantum computing concepts ("superposition," "exponential speedup"), they feel they understand the technology. But information asymmetry prevents them from recognizing the depth of what they do not know — error correlation physics, the recursive dependency of error correction, decoherence scaling laws. The knowledge gap creates a double bind: investors lack the expertise to evaluate claims and lack the expertise to recognize that they lack the expertise.

Concept Tested: Information Asymmetry


8. The chapter describes how biases compound from an evidence-based 5% probability to a bias-influenced estimate of approximately 78%. Evaluate which single bias in the compounding sequence contributes most to making the overall distortion resistant to correction.

  1. Anchoring, because it sets the initial high reference point before other biases engage
  2. FOMO, because it creates urgency that prevents careful deliberation about all other biases
  3. Optimism bias, because it is the most universally experienced human tendency
  4. Narrative fallacy, because stories are more persuasive than statistics across all audiences
Show Answer

The correct answer is A. Anchoring is uniquely powerful in the compounding sequence because it sets the starting point from which all subsequent reasoning proceeds. Once anchored to a $450 billion market projection, every subsequent bias operates on the inflated baseline. Authority bias adds credibility to the anchor. Bandwagon effect confirms it. Confirmation bias filters evidence relative to it. Without the high initial anchor, the other biases would compound from a lower base and produce a less extreme distortion. This is why reference class forecasting insists on starting from the base rate (5%) rather than from industry projections.

Concept Tested: How Biases Compound


9. Philip Tetlock's research on expert forecasting found that confident experts were the least accurate predictors. Design a process improvement that addresses this finding for quantum computing investment committees.

  1. Replace expert panels with AI-generated forecasts that eliminate human bias entirely
  2. Implement reference class forecasting that starts from historical base rates and requires specific evidence to justify deviation
  3. Hire only Nobel laureates for investment advisory roles since their expertise is most reliable
  4. Eliminate all expert input and rely solely on market signals from quantum computing stock prices
Show Answer

The correct answer is B. Reference class forecasting is the structured corrective for biased expert judgment. It requires four steps: identify the reference class of similar technologies, determine the historical base rate of success (5-15% for multi-breakthrough technologies), adjust from the base rate only with specific evidence, and resist narrative-driven adjustment. This process directly counters anchoring (starting from data, not projections), confirmation bias (requiring disconfirming evidence), and authority bias (weighting statistical evidence over expert opinion). Tetlock's research shows that structured methods consistently outperform confident expert judgment.

Concept Tested: Bias in Tech Forecasting


10. A government official states: "We cannot afford to fall behind China in the quantum computing race. The cost of losing is catastrophic and unquantifiable." Identify the primary bias being exploited and the secondary bias it activates.

  1. Primary: optimism bias; secondary: confirmation bias
  2. Primary: sunk cost fallacy; secondary: anchoring bias
  3. Primary: FOMO; secondary: motivated reasoning that bypasses cost-benefit analysis
  4. Primary: authority bias; secondary: bandwagon effect
Show Answer

The correct answer is C. The statement exploits FOMO by framing quantum computing investment as avoiding a vague catastrophe rather than pursuing a specific, quantified opportunity. The phrase "catastrophic and unquantifiable" is the signature of FOMO-driven reasoning — it makes the cost of inaction feel infinite while avoiding any calculation of expected value. This activates motivated reasoning as a secondary bias: once the decision is framed as national security, decision-makers are motivated to find justifications for investment and to dismiss cost-benefit analysis as inadequate for "existential" questions. The cure is specificity: name the threat, estimate its probability, calculate the expected value.

Concept Tested: FOMO in QC Investment