Hilariously, MobileCoin is centralized in at least *four* separate ways:

1) Relies on Intel SGX in the consensus protocol.
2) Uses the Stellar/Ripple consensus protocol, which needs everyone to use the same "validators".
3) Relies on Amazon S3 to distribute blockchain data.
4) The dev team themselves. Putting the consensus in Intel SGX makes it impossible for a second dev team to even exist: unless you run the official binaries, you aren't on MobileCoin.

Moxie has been famously hostile to forks, so no surprise he's doing this with his coin.
Good read as to why Ripple/Stellar are centralized, and how their claims that you can pick your own so-called "validators" don't pan out in reality: raw.githubusercontent.com/petertodd/ripp…
In context, their reliance on Amazon S3 doesn't actually change *that* much. It at least could be fixed in the future, and with the rest of the coin so centralized, does it really matter?

It'll be funny if S3 blocks them for "money laundering" though.

Moxie and Lovecruft have been close friends for years... looks like they may be working on Mobile Coin too. People might want to be careful in criticizing Mobile Coin: you might get accused of rape. 😂

I gotta say though, using the Ripple/Stellar consensus protocol might prove to be a clever way for Mobile Coin to borrow the Ripple bot army. 😂

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More from @peterktodd

25 Nov 20
Remember how Qatar's migrant workers were going to be wiped out by COVID?

Well, antibody data is in: 60% of them got infected, 10x more than knownm and 99.5% had mild/no symptoms, with no reported deaths.

70% are <40yrs, so no surprise.

There's no doubt that Qatar workers have immunity: cases are flat, with restrictions lifted for months.

Equal or slightly lower herd immunity threshold than the naive calculations would suggest (60% to 75%), even with cramped living and very rapid spread. That's a good sign!
Here's a similar study, with similar results: medrxiv.org/content/10.110…
Read 4 tweets
24 Nov 20
The Oxford vacine dosing error is a hilarious story: a simple math error lead to people getting half the dose they should have.

...and that worked better, for interesting reasons! But goes to show: manufacturing billions of doses in a huge rush is itself risky.
As for why that (probably) worked better: the Oxford vaccine works by giving you a different, harmless, virus that has been genetically modified to 1) have part of the machinery that SARS-CoV-2 uses to infect you, 2) disable replication. It's a very common, well tested technique.
But a downside of this technique, is that if you need two doses, the immune system can learn to fight off the harmless virus carrier during the first dose, making the second dose less effective. Half a dose (probably) happened to prevent problem better than a full dose.
Read 4 tweets
24 Nov 20
A catch-22 of these 95% effectiveness vaccines is we don't yet know if they cause antibody-dependent enhancement (ADE), like prior attempts at coronavirus vaccines.

Eg with Pfizer, just 8 people got COVID with the vaccine - all mild - vs 172 on the placebo.

What ADE does is...
...it makes severe infections worse, because the antibody has backfired and prevented your immune system from responding properly. So you can have a vaccine that eliminates mild infections, but still causes more harm overall. ADE also happen naturally, eg with Dengue fever.
The challenge here is the vaccines are effective enough - and COVID-19 rare enough - that we just don't know yet what happens if you luck out and get a severe infection.

That'd be fine if COVID-19 infections were always severe. But they're not: young people have near-zero risk.
Read 8 tweets
22 Nov 20
Beautiful. But misleading.

People of working age have ~zero risk. 96% of deaths in Ontario are over 60 years of age, 87% over 70 years.

No, the risk is on workers' elderly parents.

One way lockdown increases that risk: unemployed people tend to move back in with their parents.
Source: covid-19.ontario.ca/data

Even comparing a 55 year old (!) to their 85 year old parents, the parents still have a 30x higher fatality rate. That's how lopsided these death rates are. ImageImage
Indeed, I'd caution people from taking these lopsided death statistics as 100% proven fact: you'd see the same thing from significant numbers of false positives, and/or deaths with COVID rather than from it: the distribution of deaths matches natural mortality very well.
Read 4 tweets
16 Jun 20
FYI my defamation case with Isis Lovecruft settled.

I'm checking with my lawyers about what I can say about it and the evidence we got in discovery. No NDA, so should be able to do a full writeup.

tl;dr: legal battles are ridiculously expensive and I was running out of money.
Eg May's legal bill was $23,464 USD, and discovery was just starting. Probably would have spent another $100-200k easily.

I'd have rather not settled. But I'd be spending my family's money, and I don't feel comfortable doing that when I had the option of a reasonable settlement.
Lovecruft had a potential of recovering ~$50k to $100k legal fees for their anti-SLAPP motion, and also wanted to file for malicious prosecution against me. Dubious legal grounds for that. But in the US system if you run out of money, the other side tends to win by default...
Read 8 tweets
26 Mar 20
Environmentalists have been complaining about our ~50% rate of food wasted for years.

We might be very glad we have that surplus soon.
I think I underestimated what a mess quarantines might make for our food supply chains. Plants are shutting down over a single positive case, and lots of supply chains are shutdown. If we don't stay on top of this shortages might happen us due to mismanagement and sticky prices.
Prices are the way information is passed through our economy; without pricing no-one really knows how much should be made or where. Companies afraid of increasing prices, and employees not getting paid extra to risk coming to work, are two examples of how this can easily fail.
Read 4 tweets

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