1/ I've been looking to poke holes into #Avalanche for *two* years, writing an entire simulator for 1 million+ nodes in the process. Anything you throw at it, has either been easily solved or is easily solveable.. it's just unbreakeable:
2/ Protective ephemeral centralization by the #Avalanche foundation? That's easy to fix: distribute $AVAX via sales, tax larger validator rewards, subsidize smaller validators or modify staking to voting relationship w/o affecting safety too much.
3/ Liveness suffering due to theoretical fat-tails distributions like Pareto or Cauchy? Easy to fix: apply adaptive staking vote shaping to measure & recognize such distributions in real time. Applt counter measure by dynamic staking power adaptation.
4/ Potential congestion due to fixed fees? Easy: dynamic fees are coming to shape demand curve.
5/ Potetial high fees due to popular mainnet apps? Easy to solve: use horizontal scaling via subnets per such app or group of related apps.
6/ Slow responder attacks by malicious validators? Real time quality of service analysis to recognize such to then bench them; already implemented.
7/ PoW, [d]PoS, PoA or PoST *sybil* protection maximalist? Use your custom subnet, #Avalanche *consensus* works with all of them.
8/ Want your private corporate chain with specific rules to your business or jurisdiction? Use *permissioned* #Avalanche subnet: already possible today!
9/ Want to do shenanigans to influence 1000 geographically fully distributed validators and hope to be somehow lucky? Keep dreaming.

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More from @notexeditor

27 May
1/ Why #Avalanche is even better than I initially thought (part 2)?
2/ In our previous thread we discussed how *fast* the distributed #Avalanche *consensus* mechanism can sync all honest nodes:
3/ Above you see how after *only* 3 rounds the entire set of honest participants are in sync: Despite 15% being faulty (or malicious), the system manages to achieve the max. possible consensus level of 85% (for the overall network).
Read 32 tweets
27 May
State of #Avalanche: a) number of validators at 982, 😎 b) TVL at 258.7M $AVAX, 🤑 c) GINI at 85.6%:
WTF: TVL is *down* by 40M $AVAX in the last 7 days? I guess somebody is pumping up validators numbers, and trying to reduce the *apparent* GINI I'm measuring.. 🤣 Note that *real* GINI is by definition _worse_, due to the top validators belonging to the foundation..
1/ Why the socio-economic structure of #Avalanche and #Turkey are similar? Let me explain:
Read 16 tweets

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