Scathing comments on Crypto from Mr Rabi Shankar - Deputy Governor, RBI.

1) On crypto being treated as a currency:
"Currency always has an issuer, usually a trusted entity like the sovereign. Even when gold is used as a currency, the gold coins had to be issued by a sovereign.

Secondly, historically, a currency has always been either a commodity with intrinsic value or a debt instrument. Cryptocurrencies do not conform
to this understanding as they do not have an issuer, they are not an instrument of debt/commodities nor do have any intrinsic value.
Currency needs trust, not everything that can be trusted is a currency. So even if technology (as
in a blockchain) provides the trust for cryptocurrencies, they can at best perform the role of a currency within the private and closed environment of that cryptocurrency.
They do not, and should not, automatically become a currency for the larger society "
2) On crypto being treated as a financial asset : "This is also problematic because all financial assets have underlying cash flows and need to be some person’s liability.
Cryptocurrencies are neither any person’s liability nor do they have any underlying cash flows. They are not financial assets, by definition."
3) On crypto being treated as a commodity : "Commodities are tangible and have utility; cryptocurrencies have neither. There is this somewhat
awkward attempt to equate some of them with gold, hence limiting their supply like natural resources, or creating them through mining.
Limiting supply by design is not same as limited supply in nature (like gold) because (a) design can be modified & hence such limitation is artificial, and (b) even if 1 cryptocurrency has limited supply, that limitation does not work for all cryptocurrencies taken together.
Further the fact that gold is mined does not in itself make it money, it has to be stamped and issued by a sovereign to make it money."
4) On crypto being treated as digital asset: "Even that is doubtful as cryptocurrencies do not have any underlying use, like for instance car hiring softwares or a core banking systems, or, for that matter,
smartphones.
That basically leads to conclusion that it's an electronic code (with no practical use) which has created enough hype such that people are willing to pay money to buy ownership rights to that electronic code, seemingly on the hope that someone else would buy it at a higher price
What started off as a medium of exchange has appeal similar to that of a speculative asset.
As a store of value, cryptocurrencies like bitcoin have given impressive returns so far, but so did tulips in 17th century Netherlands. Cryptocurrencies are very much like a speculative or gambling contract working like a Ponzi scheme.
In fact, it has been argued that the original scheme devised by Charles Ponzi in 1920 is better than
cryptocurrencies from a social perspective. Even Ponzi schemes invest in income earning assets.
A bitcoin is akin to a zero-coupon perpetual; it’s like you paid money to buy a bond which pays no interest and which will never pay back the principal. A
bond with similar cash flows would be valued at 0, which, in fact, can be argued as the fundamental value of a crypto"
Full speech can be read at :
https://t.co/mX9n2ukCN8…

Interestingly its second time in a week that tulip reference has been used by RBI 🙂

More from Crypto

2020 was a game changer for Ethereum.

The vast majority of its success was fueled by #DeFi.

Here's what happened in 5 Tweets 🔽

1) Governance Tokens 🪙

Projects gave complete ownership of billion dollar protocols to their users, often using retroactive airdrops.

Early adopters earned tokens for past usage, and token-based voting now dictates all technical


2) Liquidity Mining ⛏️

Power users were the first to earn on-going distribution by providing liquidity.

$COMP sparked the wave, with $BAL coining the term a few weeks


3) Yield Faming 🌾

Projects coupled liquidity mining and governance tokens to boost 'yields' by combining lending rates with an incentive layer.

APYs peaked as high as 1M% during 'DeFi summer', leading to a 'food coin' craze like $YAM and


4) Fair Launches ✅

Who needs investment when you can launch using yield farming?

@iearnfinance debuted $YFI with no formal funding, seeding a community treasury for self-sustainability.

The notion of a core team and community became one and the
Back with another #FreeLoveFriday. Last time, we covered how Mastercoin/@Omni_Layer pioneered digital asset issuance on blockchains. Today, let’s discuss @Chainlink and the vital role it plays in connecting blockchains to the real world.


I have said repeatedly that digital asset issuance is the killer application for blockchains. The next frontier is bringing real world assets to networks like @AvalancheAVAX, but we often face a significant problem:

Namely, how do you get data from the real world onto blockchains and into applications running on them? More critically, how do you achieve that securely and transparently in real-time? Smart contracts are tamper-proof, but they're only as reliable as their input data.

Enter ChainLink in September 2017, with a whitepaper outlining a vision for a decentralized network of “oracles,” entities that inject facts from the external world into blockchains in a suitable format for smart contracts.

Until ChainLink, oracles were trusted and centralized. This is a huge problem for high-value assets and smart contracts. High value projects, such as @CelsiusNetwork, @synthetix_io, @Aaveaave and others depend critically on oracle data.
You may be wondering why @bristoliver rather cryptically RT’d a chart that I posted last night. The answer is not just that he loves quadratic fits on log axes, but that this chart may –and I stress may– hint at a vaccine effect amongst the over 80s THREAD


WARNING: this is a long thread, and it’s a bit of a roller-coaster. We find some apparently strong patterns in the data, and then start to unpick them a bit. So if you start getting excited half way through you might find you’re less excited at the end. But we’ll see…

First we first have to go back a bit. @bristoliver posted a thread a few days ago explaining why, with a constant vaccination rate, a log plot of cases should show a quadratic form. In other words, it should fit an equation like: a + b.x + c.x^2

I meant to link in the model thread there - here it is


the quadratic coefficient – the ‘c’ in that equation – gives an estimate of the % of the population who are being newly protected by the vaccine each day. Please note ‘protected by the vaccine’, not ‘vaccinated’ – as we don't expect 100% protection after the first dose

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