#136: Paul Sztorc
2/25/2020 · 149 min · transcript via mlx
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Key topics
— Proof of stake lacks credibility compared to proof of work because PoS rewards wishful thinking; even if technically fixed, it merely exchanges one wasted resource (electricity) for another (locked capital), achieving no net efficiency gain.
— Bitcoin's security budget depends on fee revenue in the long run, not block subsidies; if fees remain too low relative to future network value, miners may lack sufficient incentive to maintain hashrate and network security.
— Drivechains are a proposed scaling solution using merged-mined sidechains with blind SPV proofs and slow, three-to-six-month withdrawal windows to prevent miner theft while maintaining Bitcoin's 21 million coin limit across chains.
— The marginal cost equals marginal revenue principle applies to all consensus mechanisms: block rewards will be competed away by miners bidding up production costs until equilibrium, making proof of stake no cheaper than proof of work.
— Lightning Network and layer-two solutions reduce base-layer demand but may not alone solve long-run security; multiple scaling approaches (Lightning, sidechains, state chains) may be necessary rather than relying on a single solution.
— Bitcoin's network effects make it resilient but not immune to fatal errors; a hard fork with identical UTXO distribution (like BCH's replay protection experience shows) could theoretically survive if most users and coins migrate with it.
Market & price signals
— None discussed.
Actionable insights
— Monitor Bitcoin's fee market development closely; a sustained gap between actual miner revenues and the amount needed for long-term security (Sztorc estimates $2.6 billion annually as of 2018) may signal vulnerability and prompt hard forks or protocol changes.
— Evaluate scaling solutions beyond Lightning alone; explore how sidechains, state chains, and merged-mine designs could complement layer-two growth to ensure sufficient fee pressure reaches base-layer miners without requiring block-size increases that raise full-node costs.
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