Giovanni's BTC_POWER_LAW ✓
@Giovann35084111 · San Diego, CA · joined 01 Mar 2020
The Physics of Bitcoin, Official Home of the Bitcoin Power Law: https://t.co/ITy1N4YFPz
59 272Followers
4 706Following
50 167Posts total
312.8KViews on collected posts
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@Giovann35084111 Historical data extrapolated, however u define or refine that extrapolation simply ignores the arrow of TIME. What was a relevant price input 10 years ago may not be relevant 20 years forward. It’s naive to believe that extrapolation works, from straight lines to
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@Giovann35084111 I'm so here for this. Long live Bitcoin science.
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@Giovann35084111 This stance is far more sound and sensible. We support this posture as it represents sound scientific discipline.
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That is true.
But this is precisely where physical intuition and experience with complex systems become important.
Power laws are, in general, remarkably stable when they emerge from genuine scaling processes. They are often associated with strong self-regulating mechanisms,
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@Giovann35084111 @Andre_Dragosch @CorySwan @diglloyd @charlesamadeus @DCBitMax Personally, and this is not a scientific belief, I expect the power law trend to keep occurring. But that is only an informed guess to me. I also expect and hope my country to keep being sovereign, as
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Cory should read and comment on this paper too.
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@CorySwan Same authors: https://t.co/yOQMlqO2uc
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So lazy response.
He is also misquote Barquero.
He has shown the power law is the best predictive model when you adopt a time horizon beyond 6 months.
Cory has not even read all the publised work of the author he quotes (in all caps).
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@Giovann35084111 I don't have to because @xmal already did.
Something something Brandolini's Law 😂🤦♂️
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Cory should write a paper and publish it as we did.
https://t.co/8sMTd9753L
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@diglloyd @xmal @Giovann35084111 The one-month forecast point comes from Baquero’s survey of the broader Bitcoin price-prediction literature. No one attributed that claim to Plan G.
My objection to Plan G’s work is the extrapolation. A power-law trend line can fit Bitcoin’s hist
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@Giovann35084111 @Breedlove22 Hi Giovanni,
Just a little remark. New btc addresses are not correlated with new users. I get a new address everytime when I swap or act currencies into btc. I loved the interview. I am a fan 🧡
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@Breedlove22 Link:
https://t.co/j97ZxEs3OP
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This remains my best interview to date. It is the best because @Breedlove22 is a genuine person, he was well prepared (he even has a series of interviews with physicist G. West, a world expert in power laws), and a bright and curious mind.
Also the live interview vs one over ht
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Em comparação com contas do mesmo porte
11 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações6 147esta conta924mediana para 10K–100K
Alcance, %10.37%esta conta3.62%mediana para 10K–100K
Engajamento, %0.61%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 6 147 | 924 | 6.65× |
| Alcance (visualizações ÷ seguidores) | 10.37% | 3.62% | 2.86× |
| Taxa de engajamento | 0.61% | 1.52% | 0.40× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
238.9K8 May
12.4K
81710 May
6.7K1 Sep
6.7K2 Sep
4.8K
7.2K
5.6K
6.1K
10.1K
13.1K
158
125
393 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.37%8 May
0.76%
1.22%10 May
0.18%1 Sep
0.61%2 Sep
0.13%
0.43%
0.16%
0.70%
0.14%
0.77%
0.63%
2.40%
2.56%3 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes58.6%1 040 in total
Reposts6.4%113 in total
Replies5.0%89 in total
Quotes1.1%20 in total
Bookmarks28.9%513 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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