BitKane
@kanemcgukin
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Following
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Helping others bridge the gap between Bitcoin and banking on Navigating Bitcoin's Noise:🎙️https://t.co/VpY6Eictwk Views are my opinion ≠advice.
The WWW
Joined August 2010
The biggest takeaway from @TheBitcoinConf was the energy, interest, and capital looking to back infrastructure that will power financial liquidity for future generations. A quick🧵on how a history of liquidity crises led us to #Bitcoin . /1
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@LawrenceLepard 🤣. Good thing you can’t store them long. The return would be triple that.
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@elonmusk Where’s Elizabeth when you need her? She wonder why she’s not chiming in on this laundering?
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@elonmusk Can you believe that raised tuition exorbitantly to be used for paying bond interest for bonds issued to build lavish amenities. Ponzi-ish.
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A site worth watching.
Great progress @DOGE Imagine if every government expenditure was done transparently onchain. Would make it much easier to audit.
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@_Checkmatey_ @boomer_btc @Jethroe111 It’s the incentives. Non pool can’t compete. Small pool can’t compete. Which funnels to large pools or you can’t participate. Money centralizes eventually.
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@nsquaredvalue It’s interesting how the FTX grift clearly shows now that you have multiple time periods to look at.
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@gaborgurbacs Now do those with >$100mm >$500mm >$1B >$1T Then ask, for what? Ego? Greed? Or because you can?
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Such an important histogram chart for setting realistic expectations for Bitcoin between now and 2031. You can visually see the most likely outcomes are in the 300-600k range more so than the $1mm range. The higher numbers are lower probability or a bigger gamble.
What is Bitcoin's long-term outlook through 2030? The Bitcoin Quantile Model can answer that: Bitcoin could reach a high of $1M by the end of 2030. This model is a quantile regression of Bitcoin's historical data. While OLS regression only models the mean of a variable, quantile regression allows one to model all quantiles to arrive at a range of possible values. Let's focus only on two quantiles: 1st and 99th percentiles. The 99th percentile line models Bitcoin data such that 99% of data points fall below it. Similarly, the 1st quantile finds the line where 1% of data falls below it. Extrapolating these lines will give us a Bitcoin channel whose upper bound touches $1M ($947K) at the end of 2031 and the beginning of 2032. The absolute bottom of the channel is at a quarter of a million by that date. As mentioned, we can also get the full distribution of possible values. Below is the histogram. * (slight differences for Q1% exists across charts due to different rounding)
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@paulg Yes. It’s going to give all the lazy people the same answer. Those that actually read and do will get different answers. Because people are paying to give their data it will know how to manipulate them better than social media did (and it was free).
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@elonmusk It makes zero sense that citizens get less than 50% of their paychecks and are required to pay + pay on time. Now it is proven that politicians and political parties are stealing and committing fraud. It’s no longer “conspiracy”.
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RT @matthew_pines: “Some hedge fund contemporaries of Scott Bessent… are speculating about a revaluation of America’s gold stocks... if the…
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@AriDavidPaul @MartyBent He definitely took advantage of the rules in play. Played the left for subsidies and is playing the right to clean up the mess he took advantage of. In sports, they call this gamesmanship. Unfortunately, that looks like what it takes to clean up the looting and corruption.
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