Michel Rauchs Profile picture
May 17 13 tweets 6 min read
New #CBECI update! 🚨

Among others, new mining map data covering the period from Sep 2021 to Jan 2022 included confirms the rise of the USA as the world's dominant mining hub, now extending its lead to 37.84% of total hashrate amidst the global recovery.

ccaf.io/cbeci/index
But the most notable finding has been the resurgence of China as a major mining hub which – despite the government ban in June 2021 – is reported to host 21.11% of the world's total hashrate.

This seems to empirically confirm what industry insiders have suggested for a while:
A non-trivial part of China's hashrate has never left the country and instead went underground to operate covertly through various means.

@KenzieSigalos offered an excellent account of this practice in December 2021: cnbc.com/2021/12/18/chi…
Why did China's *reported* share immediately dropped to 0 following the ban, then?

The answer lies in methodological trade-offs arising from our top-down approach based aggregated geolocational data reported by partnering mining pools @btccom_official, @FoundryServices, @officialpoolin, and @ViaBTC.

jbs.cam.ac.uk/insight/2022/b…
No methodology is perfect, but the analysis remains useful as long as the trade-offs are well understood. Generally, we believe the underlying assumptions to be sufficiently robust most of the time given the financial costs of latency.
Only during extreme 'shock' events, like the politically-mandated ban on the mining industry, these assumptions may not temporarily hold true.

As always, we are open to exploring alternative options – please get in touch if you'd like to contribute: ccaf.io/contact?topic=….
Kazakhstan (13.22%) and Russia (4.66%) have lost significant market share, with Canada (6.48%) only moderately growing its total capacity.
What else has changed?

Among others, the US now has its own regional mining map, although initially limited to the month of December 2021.
We have also updated the mining hardware list underlying the CBECI power demand model to ensure that the sample accurately reflects the current state of the industry.

Among others, we removed 'exotic' devices with little sales and restricted the lifetime of machines to 5 years.
We also listened to feedback from the #Bitcoin community, such as adjusting the bubble sizes of the comparative chart below to scale.

A list of all changes can be found here: ccaf.io/cbeci/index/co…
As always, we will continue to work with our partners and network to bring further improvements to the tool and are inviting constructive feedback and suggestions from the ecosystem.

Please get in touch! 🙂

ccaf.io/contact?topic=…
Longer form analysis about the update: jbs.cam.ac.uk/insight/2022/b…

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More from @mrauchs

May 16
Centralisation naturally emerges when efficiency gains are valued higher than corresponding losses in the distribution of power.
This seems to be a natural law:
growing costs — financial and non-pecuniary — of a decentralised system are addressed by emergent centralisation, up to a point where the system becomes dysfunctional with respect to its initial purpose, triggering a new wave of decentralisation.
Then rinse & repeat. Bundling vs unbundling.

@moxie‘s “Minimum Viable Decentralisation“, and @backus‘s “Decentralise what you need, but no more“, are principles that the crypto community should espouse.

signal.org/blog/the-ecosy…
Read 4 tweets
Oct 13, 2021
New #CBECI mining map update!

Following the government-mandated crackdown on the Chinese mining industry in June 2021, the US now emerges as the leading #Bitcoin mining centre with ± 35% of total hashrate as of August 2021.
Kazakhstan (18%) and the Russian Federation (11%) are following, thereby confirming the trajectory identified in our previous update showing that those three countries had already gained market share prior to the Chinese crackdown.

(We've added a new chart for absolute hashrate) Image
China's reported share of total hashrate is now, somewhat unsurprisingly, at 0%. While there are rumours of ongoing covert mining operations, any inferences on the basis of this data would amount to pure speculation. Image
Read 5 tweets
Sep 14, 2019
Looking forward to Matthew Mežinskis‘s presentation on Bitcoin as base money.

If you don‘t know his excellent podcast show @crypto_voices (shout out to co-host @fernandoulrich as well!), make sure to give it a listen.

#bh2019
First, some terminology: there are many names + buzzwords for base money, but they all mean the same: the monetary base.

#bh2019
What forms can base money take?

- Commodities (shells, beads, precious metals)

- Paper: physical cash

- Digital: central bank reserves, Bitcoin?
Read 15 tweets
Jul 2, 2019
1) I'm delighted to announce the launch of the Cambridge Bitcoin Electricity Consumption Index (CBECI), a live model that tracks the estimated annual electricity usage of the Bitcoin network in real time.

cbeci.org
2) The CBECI is a pilot project created and maintained by the @CambridgeAltFin in response to growing concerns over the sustainability and environmental impact of Bitcoin mining.
3) There are two diametrically-opposed sides in this debate:

a) "Bitcoin mining boils the oceans and directly contributes to climate change!"
b) "Bitcoin is the most efficient money ever devised and will drive the green revolution!"
Read 16 tweets
Jun 13, 2019
This is the best analysis of Bitcoin's total electricity consumption that I've seen to date. As with any model, some assumptions are debatable, but overall this is some thorough work from Munich.

cell.com/joule/fulltext…
I should specify that this applies to the first part of the paper - estimating Bitcoin's total electricity consumption.

We @CambridgeAltFin are currently working on a real-time electricity consumption index based on a similar methodology that we'll launch in a few weeks.
However, I'm somewhat skeptical about the second part of the paper - i.e. estimating Bitcoin's environmental footprint.

While the chosen approach is interesting (see below), I can see a lot of issues.
Read 10 tweets
Dec 28, 2018
1/ After some quiet and restful Christmas days (I hope everyone had a wonderful break 🎅🎄), here comes Part 2 of my mini series highlighting the key findings of @CambridgeAltFin's new cryptoasset report.

Below is Part 1.
2/ Today we'll have a look at ... users (see Section 2)!

Much has been written about and argued over the number of people using cryptoassets, but little consensus has been achieved so far.

Why?
3/ Well, there is no exact way of determining the number, nature, origin, and activity levels of users in a cryptoasset system.

Users can have multiple addresses, wallets, and accounts - all at several service providers while obfuscating origin and activity.
Read 23 tweets

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