Ari Paul on Why Bitcoin Is a Good Value Buy Today - Ep.95
Ari Paul, CIO of BlockTower Capital, explains why he likes how short-term trades concentrate risk in investment, why, "no matter what," he thinks Bitcoin is a good-value buy today, and how big university endowments investing in crypto now could eventually lead institutions to go from having a fear-of-loss attitude about crypto to having FOMO. He also dives into why he's not as excited about generalized mining as some of BlockTower's crypto fund peers and who he thinks is really well-poised in that space. We also discuss why Bitcoin futures didn't have a positive impact on the price and what effect Bakkt and Fidelity launching their crypto products could have. Plus, he responds to people who accused him of insider trading when a private conversation in which he mentioned Stellar was acquiring enterprise blockchain startup Chain was released.
Thank you to our sponsors!
CipherTrace: https://ciphertrace.com/unchained
Altlending: https://altlending.com
Episode links:
Ari Paul: https://twitter.com/AriDavidPaul
BlockTower Capital: https://www.blocktower.com
Harvard, Stanford, MIT endowments invest in crypto: https://www.theinformation.com/articles/harvard-stanford-mit-endowments-invest-in-crypto-funds
Yale endowment invests in a16z and Paradigm: https://www.cnbc.com/2018/10/05/yale-investment-chief-david-swensen-jumps-into-crypto-with-bets-on-two-silicon-valley-funds.html
Bitcoin Cash hard fork recap: https://bitcoinmagazine.com/articles/week-2-how-bitcoin-cash-hash-war-came-and-went-and-not-much-happened/
Unconfirmed episode on Bitcoin Cash hard fork with Aaron Van Wirdum: http://unconfirmed.libsyn.com/the-bitcoin-cash-hard-fork-bitcoin-abc-vs-bitcoin-sv-ep046
Unchained episode with Riccardo Spagni of Monero: http://unchainedpodcast.co/coinfunds-jake-brukhman-and-multicoins-tushar-jain-on-generalized-mining-ep92
Unchained episode with Jake Brukhman and Tushar Jain of Multicoin Capital: http://unchainedpodcast.co/coinfunds-jake-brukhman-and-multicoins-tushar-jain-on-generalized-mining-ep92
Unconfirmed episode with Fidelity's Tom Jessop: http://unconfirmed.libsyn.com/fidelity-digital-asset-services-tom-jessop-on-why-its-serving-institutional-clients-first-ep043
Ari's private conversation in which he mentioned Stellar was acquiring Chain: https://hackernoon.com/ten-questions-for-ari-david-paul-of-blocktower-capital-dcd8d81ef27e
IMF managing director Christine Lagarde's talk on the case for central bank digital currencies:
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.