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Insanity Quotient Calculator

Quantify systemic deviation from ecological rationality using the formula:

IQₘ = (L × T) / (B × M)

Where symbolic abstraction (L × T) is constrained by biophysical feedback and moral limits (B × M).

Input Parameters

5.0

Total non-financial debt / GDP (1=low leverage, 10=extreme debt burden)

5.0

Financial trading speed/volume relative to real economy (1=slow/matched, 10=hyper-fast speculation)

5.0

Ecological tethering: biocapacity/footprint ratio (1=severe overshoot, 10=large surplus)

5.0

Institutional integrity & equality (1=high inequality/corruption, 10=low inequality/high integrity)

Your Results

Insanity Quotient (IQₘ)
1.00
Numerator (Abstraction)
L × T = 25.0
Symbolic leverage × Speed of detachment
Denominator (Constraint)
B × M = 25.0
Biophysical tether × Moral brake

Interpretation

Historical Benchmarks

Real-world examples from "The Insanity Quotient" (Kitcey, 2025). Click to load values.

Case Study L T B M IQₘ Category

Methodology & Formula

Based on "The Insanity Quotient: A Comparative Analysis" by R.D. Kitcey (2025)

The Formula

IQₘ = (Symbolic Leverage × Tempo Desynchronization) / (Biophysical Feedback × Moral Constraint)

All variables are normalized to a 1-10 scale for comparability. IQₘ approaches zero in ecologically sane systems where feedback dominates, but escalates toward infinity in monetarily unanchored regimes where leverage is unbounded and constraints are minimized.

Symbolic Leverage (L)

Definition: The degree of abstraction and reliance on financial fictions over tangible assets.

Proxy: Total Non-Financial Debt-to-GDP Ratio

Measures total debt of governments, households, and non-financial corporations relative to real economy (GDP). Higher ratio means more activity fueled by promises (abstraction) rather than current production (reality).

Normalization: 1 = ~50% Debt/GDP (minimal leverage), 10 = ~350%+ (extreme debt burden)

Source: Bank for International Settlements (BIS), IMF, national central banks

Tempo Desynchronization (T)

Definition: The mismatch between speed of financial processes and tempo of ecological/social processes.

Proxy: Stock Market Total Value Traded-to-GDP Ratio (turnover ratio)

High value indicates hyper-fast financial system focused on short-term speculation, drastically out of sync with slow cycles of nature (seasons, generations) and long-term business investment.

Normalization: 1 = ~5% (slow, matched tempo), 10 = ~300%+ (hyper-speed speculation)

Source: World Bank, national stock exchanges

Biophysical Feedback (B)

Definition: The system's tethering to physical limits and capacity for self-correction.

Proxy: Biocapacity-to-Ecological Footprint Ratio (inversely scaled)

If population's Footprint exceeds Biocapacity, it runs an ecological deficit (not tethered to local reality). Lower ratio = weaker feedback.

Normalization: 1 = Severe overshoot (ratio < 0.5), 10 = Large surplus (ratio > 1.5)

Source: Global Footprint Network

Moral Constraint (M)

Definition: The presence of intrinsic, pro-social, and ethical limits on self-interested behavior.

Proxy: Composite Index of Gini Coefficient and Corruption Perceptions Index (CPI)

Gini (0=perfect equality, 1=perfect inequality) measures distributive justice. CPI (0=highly corrupt, 100=very clean) measures abuse of power. High inequality + high corruption = weak moral constraint.

Normalization: 1 = High inequality & corruption (Gini > 0.55, CPI < 25), 10 = Low inequality & high integrity (Gini < 0.25, CPI > 85)

Source: World Bank (Gini), Transparency International (CPI)

IQₘ Interpretation Scale

~0 - 0.5 Ecological Sanity Very constrained, low leverage, slow tempo
0.5 - 2.0 Tense but Manageable Sanity with some pressure
2.0 - 6.0 Pathological Normality Structurally fragile, "running hot"
6.0 - 10.0 Critical Insanity Very fragile, "house of cards"
> 10.0 Hyper-Abstracted Pure symbolic ecology (e.g., crypto)

Limitations & Transparency

The IQₘ is sensitive to normalization choices and proxy selection. All historical benchmarks use best-available data from authoritative sources (BIS, World Bank, Global Footprint Network, Transparency International) but involve judgment in the 1-10 scaling. The model assumes a linear relationship between normalized proxies and systemic insanity, which may not fully capture non-linear, emergent properties of complex systems. Use as a diagnostic heuristic for pattern recognition, not as a precise prediction algorithm. Different analysts may arrive at different values depending on data sources and interpretive frameworks.