The 0.1 Bitcoin Retirement Lie EXPOSED: How Much You Really Need

1 day ago
7

Rob Wallace sits down with Sminston With, a Bitcoin researcher with a PhD in material science, to explore Bitcoin through the lens of engineering, data, and the power law. From debunking the “retire on 0.1 BTC” meme to unveiling his Bitcoin Retirement Guide, Sminston provides deep insights into Bitcoin adoption, price modeling, and long-term financial planning.

Chapters
0:00 – Introduction: Rob Wallace & Sminston
2:00 – Why “retire on 0.1 Bitcoin” is misleading
4:00 – Engineering background: batteries, hardware vs software, and Bitcoin
7:30 – Defining money and digital scarcity
10:00 – Bitcoin as stored energy: the battery analogy
12:00 – Understanding the Bitcoin Power Law
16:00 – Quantile regression & Bitcoin fair value
18:00 – Institutional adoption, ETFs & sovereign wealth funds
20:00 – Diminishing returns and long-term growth projections
26:00 – The Bitcoin Retirement Guide explained
33:00 – How much Bitcoin is enough for retirement?
41:00 – Lump sum vs DCA: stacking strategies
45:00 – Blow-off tops, cycle peaks & decay channel models
52:00 – Expected Bitcoin drawdowns in 2026
55:00 – Why Bitcoin’s future looks inevitable
58:00 – Advice to young Bitcoiners

Key Takeaways:
• Bitcoin’s growth follows a power law with stunning accuracy (R² ~ 0.97).
• Retirement planning with Bitcoin should be data-driven, not based on hype.
• Even with diminishing returns, BTC is projected to outperform S&P500 for decades.
• The Bitcoin Retirement Guide shows realistic BTC stack sizes needed for different ages & retirement goals.
• DCA (dollar-cost averaging) and long-term conviction are crucial in a world of volatility.

Follow Sminston:
Twitter/X: @sminston_with
(Website coming soon: sminstonwith.com)

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❗ DISCLAIMER ❗
Bitcoin News is not a financial adviser. All opinions expressed by us or our guests in these videos is for informational purposes only, and should not be treated as investment or financial advice of any kind. Any information provided during the video is general in nature and does not take into account the viewers specific circumstances.

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