Unlike #ETH and #BTC $ Algo uses delegated proof of stake (DPOS) #AlgorandandFriends

Under the DPOS mechanism, the community will empower a number of users the delegates to choose the next block. This is a mechanism that is used by blockchains such as EOS etc. $Algo
There is a fixed number of delegates & these delegates can be viewed as having centralized control. In the adipose blockchain, the delegates may own a tiny fraction of the total money in the system. Yet, the whole blockchain is secure. $Algo
The Algorand consensus mechanism is called pure proof of stake. And it operates on this simple principle. It makes cheating by a minority of the money impossible and cheating by the majority stupid. $Algo
$Algo developed a mechanism so that those with small stakes cannot cheat, those that have a large stake in the network won’t cheat. It will completely devalue their holdings & make no economic sense. As long as 2/3 of the majority are honest, the protocol will work just fine. $
@threadreaderapp unroll

More from Crypto

I'm sure someone else has explained this, but it is just so cool and I want to explain how this works.


So Curve is awesome for swaps between similar assets, right? The fact that they trade very close to each other is a key part about how Curve works, using it's custom swap invariant function.

That's step 1

Step 2 is that Synthetix is awesome for creating "synthetic assets" (aka synths) which are assets that trade like other assets, that are backed by another, entirely different asset. Basically, a plastic banana that I can buy and sell like a real banana.

Synthetix has a feature that lets you swap between any two synths with zero slippage and a flat fee. That's because it is simply converting the sythentic asset into another synthetic asset, the backing for the synth doesn't change it just uses a different price oracle now.

This is important. Absolutely no slippage, at any size

Swap $1m sUSD for $1m sBTC? flat 0.3% fee

Swap $10m sUSD for $10m sBTC? flat 0.3% fee

swap $100m sUSD for $100m sBTC? Well, there isn't that many synths in Curve, yet but you get the point. The only limit is the pool depth
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

You May Also Like

These 10 threads will teach you more than reading 100 books

Five billionaires share their top lessons on startups, life and entrepreneurship (1/10)


10 competitive advantages that will trump talent (2/10)


Some harsh truths you probably don’t want to hear (3/10)


10 significant lies you’re told about the world (4/10)