A sovereign social network
powered by Bitcoin

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  "map_content": "- Akerlof, G. (1970). \"The Market for 'Lemons.'\"\n- Akerlof, G. & Shiller, R. (2015). *Phishing for Phools.*\n- Spence, M. (1973). \"Job Market Signaling.\"\n- Hayek, F. (1945). \"The Use of Knowledge in Society.\"\n- Galbraith, J.K. (1958). *The Affluent Society.*\n- Kindleberger, C. (1978). *Manias, Panics, and Crashes.*\n- Fukuyama, F. (1995). *Trust.*\n- North, D. (1990). *Institutions, Institutional Change and Economic Performance.*\n- Zuboff, S. (2019). *The Age of Surveillance Capitalism.*\n- Simmel, G. (1900). *The Philosophy of Money.*",
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  "map_content": "1. **Work out the full stability analysis** (the Jacobian, eigenvalues, and the exact parameter conditions for the stable spiral \u2014 the technical appendix).\n2. **Build the adaptive-\u03b4 extension** (endogenous regulation \u2192 models the regulatory pendulum explicitly; arguably your best original result).\n3. **Develop the network version** (\u211b\u2080 as spectral radius \u2014 connects to contagion literature, very fundable).\n4. **Design the empirical test** for one prediction (e.g., the enrichment paradox against real fraud data).",
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  "map_content": "- **\u03b3 \u221d** (G \u2212 R): the raw exploitation surplus,\n- **\u03b4 \u221d** \u03c1\u03c6: detection \u00d7 penalty.",
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  "map_content": "The dissertation does not conclude that the economy is \"built on deception,\" nor that it is fundamentally honest. It concludes that the economy is a **dynamic equilibrium between trust and its exploitation**, historically self-limiting, but currently subject to a technological shock that lowers every barrier the immune system relied upon. Whether the equilibrium re-stabilizes at a new, more deceptive baseline \u2014 or whether the immune system (regulatory, reputational, technological) adapts \u2014 is left as the open empirical question, appropriate to a descriptive thesis.",
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  "map_content": "Where would you like to go next? Strong options:",
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  "map_content": "1. **Enrichment paradox:** markets with stronger trust infrastructure (higher T\u0304) will not show higher steady-state trust, but *higher* deception volume \u2014 e.g., high-trust institutional settings host larger-scale, more sophisticated fraud (Madoff needed Wall Street's credibility).\n2. **\u211b\u2080 threshold:** deception prevalence should be near-zero below a critical detection-penalty product and rise sharply above it \u2014 a phase transition, not a gradient.\n3. **Cyclicality:** fraud prevalence and trust should oscillate with a phase lag (deception peaks *after* trust peaks, crashes *before* trust bottoms) \u2014 testable against financial-fraud time series.\n4. **Digital acceleration:** post-platform-era domains should show shorter oscillation periods and higher D\\* than their pre-digital analogues.",
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  "map_content": "## 7. Limitations (state these preemptively)",
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  "map_content": "This is now a genuine, defensible formal model: a stock\u2013flow intuition, a rigorous dynamical system with a named central quantity (**\u211b\u2080 = \u03b3T\u0304/\u03b4**), an evolutionary-game microfoundation that *derives* the macro equations, a formalized digital-shift mechanism, and testable predictions.",
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  "map_content": "- Trust is treated as a scalar; real trust is networked and heterogeneous \u2192 **extension: T on a graph** (deception spreads on a trust network; \u211b\u2080 becomes a spectral property of the network).\n- Parameters are treated as exogenous; institutions (\u03b4) actually *respond* to D \u2192 **extension: adaptive/endogenous \u03b4(D)**, giving a three-variable system with richer dynamics (regulatory pendulum modeled explicitly).\n- Deterministic; real invasions are stochastic \u2192 **extension: stochastic \u211b\u2080**, invasion probabilities near the threshold.",
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