Taxonomy Distribution Report

Overview

• Total Concepts: 241
• Number of Taxonomies: 19
• Average Concepts per Taxonomy: 12.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Economics and Investment	ECON	29	12.0%	✅
Physics Barriers	BARR	16	6.6%	✅
Cognitive Biases	BIAS	16	6.6%	✅
History and Timeline	HIST	14	5.8%	✅
Technology Assessment	TECH	14	5.8%	✅
Ethics and Careers	ETHI	14	5.8%	✅
Critical Thinking	CRIT	14	5.8%	✅
Hype and Optimistic Claims	HYPE	13	5.4%	✅
General Purpose Technology	GPT	13	5.4%	✅
Systems Thinking	SYST	12	5.0%	✅
Historical Parallels	PARA	12	5.0%	✅
Breakthroughs Required	BREAK	12	5.0%	✅
Better Alternatives	ALT	11	4.6%	✅
Practical Application	APPLY	10	4.1%	✅
Foundations	FOUND	9	3.7%	✅
Expert Skeptics	SKEP	9	3.7%	✅
Algorithms and Claims	ALGO	8	3.3%	✅
Cryptography Threat	CRYP	8	3.3%	✅
Hardware Platforms	HARD	7	2.9%	ℹ️ Under

Visual Distribution

Economics and Investment  ██████  29 ( 12.0%)
Physics Barriers          ███  16 (  6.6%)
Cognitive Biases          ███  16 (  6.6%)
History and Timeline      ██  14 (  5.8%)
Technology Assessment     ██  14 (  5.8%)
Ethics and Careers        ██  14 (  5.8%)
Critical Thinking         ██  14 (  5.8%)
Hype and Optimistic Claim ██  13 (  5.4%)
General Purpose Technolog ██  13 (  5.4%)
Systems Thinking          ██  12 (  5.0%)
Historical Parallels      ██  12 (  5.0%)
Breakthroughs Required    ██  12 (  5.0%)
Better Alternatives       ██  11 (  4.6%)
Practical Application     ██  10 (  4.1%)
Foundations               █   9 (  3.7%)
Expert Skeptics           █   9 (  3.7%)
Algorithms and Claims     █   8 (  3.3%)
Cryptography Threat       █   8 (  3.3%)
Hardware Platforms        █   7 (  2.9%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

ℹ️ Under-Represented Categories (<3%)

• Hardware Platforms (HARD): 7 concepts (2.9%)
• Note: Small categories are acceptable for specialized topics

Category Details

Economics and Investment (ECON)

Count: 29 concepts (12.0%)

Concepts:

• 1. Return on Investment
• 1. Net Present Value
• 1. Risk-Adjusted Returns
• 1. Expected Value Framework
• 1. Probability of Success
• 1. Opportunity Cost
• 1. Sunk Cost Trap
• 1. Total $100B+ Invested
• 1. Zero Revenue Generated
• 1. VC Funding Frenzy
• 1. Corporate R&D Burn Rate
• 1. Government Funding Pressure
• 1. Revenue Model Problem
• 1. Who Pays for QC?
• 1. Customer Demand Evidence
• ...and 14 more

Physics Barriers (BARR)

Count: 16 concepts (6.6%)

Concepts:

• 1. Decoherence Problem
• 1. Qubits Are Extremely Fragile
• 1. Error Rate Problem
• 1. Error Correction Overhead
• 1. 1000 Physical per 1 Logical
• 1. Million Qubit Requirement
• 1. Engineering vs Physics Barrier
• 1. No Platform Has Solved It
• 1. Cryogenic Cooling Requirement
• 1. Near Absolute Zero Temps
• 1. Cryogenic Cost and Scale
• 1. Wiring and Control Problem
• 1. Energy Consumption Problem
• 1. Infrastructure Cost
• 1. Hardware Scaling Wall
• ...and 1 more

Cognitive Biases (BIAS)

Count: 16 concepts (6.6%)

Concepts:

• 1. Cognitive Bias Overview
• 1. Sunk Cost Fallacy
• 1. Confirmation Bias
• 1. Anchoring Bias
• 1. Bandwagon Effect
• 1. Dunning-Kruger in QC
• 1. Optimism Bias
• 1. Authority Bias
• 1. FOMO in QC Investment
• 1. Survivorship Bias
• 1. Narrative Fallacy
• 1. Groupthink
• 1. Motivated Reasoning
• 1. Information Asymmetry
• 1. Bias in Tech Forecasting
• ...and 1 more

History and Timeline (HIST)

Count: 14 concepts (5.8%)

Concepts:

• 1. Feynman's 1981 Idea
• 1. Shor's Algorithm 1994
• 1. First Lab Demos 1998-2001
• 1. D-Wave "Commercial" QC 2007
• 1. D-Wave Sale to Lockheed 2011
• 1. Google Buys D-Wave 2013
• 1. IBM Cloud Access 2016
• 1. Google Sycamore Claim 2019
• 1. IBM 127-Qubit Chip 2021
• 1. IBM 1121-Qubit Chip 2023
• 1. Zero Commercial ROI by 2025
• 1. Timeline Pattern Analysis
• 1. 3-5 Years Away Pattern
• 1. 40 Years of Promises

Technology Assessment (TECH)

Count: 14 concepts (5.8%)

Concepts:

• 1. Technology Readiness Levels
• 1. TRL Scale Explained
• 1. QC Stuck at TRL 2-3
• 1. Technology Adoption Curves
• 1. Crossing the Chasm
• 1. Gartner Hype Cycle
• 1. Peak of Inflated Expectations
• 1. Trough of Disillusionment
• 1. Technology Forecasting
• 1. Base Rate of Tech Failure
• 1. Prediction Track Records
• 1. Science vs Engineering Gap
• 1. Dot-Com Bubble Parallel
• 1. Technology Bubble Dynamics

Ethics and Careers (ETHI)

Count: 14 concepts (5.8%)

Concepts:

• 1. Ethics of QC Education
• 1. PhD Career Risk in QC
• 1. QC Job Market Reality
• 1. Almost All Jobs Are R&D
• 1. What If the Field Contracts?
• 1. Transferable Skills Debate
• 1. Professor Grant Conflicts
• 1. String Theory Career Warning
• 1. Cold Fusion Career Warning
• 1. Student Advising Ethics
• 1. Informed Consent for Careers
• 1. Ethical Investment Duty
• 1. Fiduciary Responsibility
• 1. FOMO Drives Bad QC Decisions

Critical Thinking (CRIT)

Count: 14 concepts (5.8%)

Concepts:

• 1. Critical Thinking Skills
• 1. Hype Detection Checklist
• 1. Red Flags in Tech Claims
• 1. How to Read a Press Release
• 1. Science Journalism Problems
• 1. Base Rate Reasoning
• 1. Extraordinary Claims Rule
• 1. Technology Due Diligence
• 1. Risk Assessment Framework
• 1. Bayesian Reasoning Basics
• 1. Applying Skepticism Broadly
• 1. Fusion Hype Comparison
• 1. AGI Hype Comparison
• 1. Autonomous Vehicle Comparison

Hype and Optimistic Claims (HYPE)

Count: 13 concepts (5.4%)

Concepts:

• 1. Catalog of Broken Promises
• 1. D-Wave Exaggerated Claims
• 1. Google Supremacy Overhype
• 1. IBM Roadmap Revisions
• 1. Startup Pitch Exaggeration
• 1. Consultant Hype Reports
• 1. McKinsey $450B Projection
• 1. Media Amplification Effect
• 1. Moving Goalposts Pattern
• 1. Unfalsifiable Timelines
• 1. Redefining Success
• 1. Fusion Energy Parallel
• 1. Flying Cars Parallel

General Purpose Technology (GPT)

Count: 13 concepts (5.4%)

Concepts:

• 1. General Purpose Technology
• 1. GPT Characteristics
• 1. Must Be Broadly Applicable
• 1. Must Improve Over Time
• 1. Must Enable New Innovations
• 1. Steam Engine as GPT
• 1. Electricity as GPT
• 1. Transistor as GPT
• 1. Internet as GPT
• 1. AI/ML as Emerging GPT
• 1. QC Fails Every GPT Test
• 1. QC Is Narrowly Applicable
• 1. QC Cannot Replace Classical

Systems Thinking (SYST)

Count: 12 concepts (5.0%)

Concepts:

• 1. Systems Thinking
• 1. Causal Loop Diagrams
• 1. Reinforcing Feedback Loop
• 1. Balancing Feedback Loop
• 1. Hype Reinforcement Loop
• 1. Sunk Cost Escalation Loop
• 1. Career Incentive Loop
• 1. Geopolitical Arms Race Loop
• 1. Missing Balancing Loop
• 1. Leverage Points
• 1. Self-Sustaining Hype Cycle
• 1. Breaking the Hype Loop

Historical Parallels (PARA)

Count: 12 concepts (5.0%)

Concepts:

• 1. Successful Physics Bets
• 1. Transistor Investment Payoff
• 1. Laser Investment Payoff
• 1. Fiber Optics Payoff
• 1. GPS Atomic Clock Payoff
• 1. MRI Investment Payoff
• 1. Failed Physics Bets
• 1. Cold Fusion Losses
• 1. Theranos Lessons
• 1. Concorde Economics Failure
• 1. Charismatic Founder Risk
• 1. When Scientists Mislead

Breakthroughs Required (BREAK)

Count: 12 concepts (5.0%)

Concepts:

• 1. The 10 Required Breakthroughs
• 1. Error Rates Must Drop 100x
• 1. Need 1000x More Qubits
• 1. Coherence Must Improve 100x
• 1. Connectivity Must Improve
• 1. Cryogenics Must Scale
• 1. New Algorithms Needed
• 1. Cost Must Drop Dramatically
• 1. All Must Happen Together
• 1. Joint Probability Problem
• 1. Independent vs Coupled Risks
• 1. Each Breakthrough Is Uncertain

Better Alternatives (ALT)

Count: 11 concepts (4.6%)

Concepts:

• 1. Quantum Sensing
• 1. Atomic Clocks
• 1. Quantum Magnetometers
• 1. Quantum Gravimeters
• 1. Sensors Already Make Money
• 1. Sensing Needs Few Qubits
• 1. Quantum Key Distribution
• 1. Risk-Adjusted QS Returns
• 1. Classical AI Hardware
• 1. Alternative Tech Investments
• 1. Portfolio Diversification

Practical Application (APPLY)

Count: 10 concepts (4.1%)

Concepts:

• 1. Writing an Executive Brief
• 1. Conducting Red Team Analysis
• 1. Building a Claims Tracker
• 1. Evaluating a Pitch Deck
• 1. Writing a Critical Review
• 1. Portfolio Allocation Analysis
• 1. National QC Strategy Critique
• 1. Board-Level QC Questions
• 1. Skeptical Inquiry Method
• 1. Making Better Tech Bets

Foundations (FOUND)

Count: 9 concepts (3.7%)

Concepts:

• 1. Classical Computing
• 1. What Is a Qubit
• 1. Superposition Explained
• 1. Entanglement Explained
• 1. Quantum Measurement Problem
• 1. Theoretical Promise of QC
• 1. What QC Could Supposedly Do
• 1. What QC Cannot Do
• 1. QC vs Classical Computing

Expert Skeptics (SKEP)

Count: 9 concepts (3.7%)

Concepts:

• 1. Gil Kalai's Math Arguments
• 1. Dyakonov's Physics Arguments
• 1. Controlling 2^1000 Parameters
• 1. Levin's Complexity Doubts
• 1. Laughlin on Coherence Limits
• 1. Goldreich's CS Perspective
• 1. Skeptics Have No Funding Bias
• 1. Proponents Have Funding Bias
• 1. Why Skeptics Are Ignored

Algorithms and Claims (ALGO)

Count: 8 concepts (3.3%)

Concepts:

• 1. Shor's Factoring Algorithm
• 1. Grover's Search Algorithm
• 1. Quantum Supremacy Defined
• 1. Quantum Advantage Defined
• 1. Contrived Benchmarks
• 1. No Real-World Advantage Yet
• 1. Narrow Problem Applicability
• 1. Classical Computers Keep Up

Cryptography Threat (CRYP)

Count: 8 concepts (3.3%)

Concepts:

• 1. Public Key Encryption Basics
• 1. Could QC Break Encryption?
• 1. Massive Qubits Needed
• 1. Post-Quantum Crypto Exists
• 1. NIST Already Has Standards
• 1. Harvest Now Decrypt Later
• 1. Window Is Already Closing
• 1. Crypto Threat Is Overstated

Hardware Platforms (HARD)

Count: 7 concepts (2.9%)

Concepts:

• 1. Superconducting Approach
• 1. Trapped Ion Approach
• 1. Photonic Approach
• 1. Topological Approach
• 1. Neutral Atom Approach
• 1. Platform Comparison
• 1. Each Platform Has Fatal Flaws

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 9.1%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

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Report generated by learning-graph-reports/taxonomy_distribution.py