My company won an appeal in the 5th circuit court of appeals (on all counts).
That's a very good thing, but unfortunately, it's not a precedential decision, meaning it can be cited, but it is not binding.
If I had known that was a possibility I might've settled.
1/3
The best part of the case was a very big Chinese seller using this as their address with Amazon.
And they had the balls to appeal the decision against them on the basis that we didn't properly serve them when we actually went to this address to find an older white woman.
2/3
REKT
3/3
PS from start to finish this took 3 years and 9 months.
Hopefully this will reduce the number of companies that choose to mess with us?
I'm not optimistic 🙄
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I used to think this was the fatal flaw of Bitcoin.
He’s right that this occurs. Mining is a commodity marker and economies of scale drive concentration, which is bad because it increases the chance of a 51% attack allowing a miner to double spend their Bitcoin.
However, once this occurs, and we would know because you can’t double spend your Bitcoin without someone being on the other side of that, it would cause massive loss of trust not only in the participating miners/their public addresses, but also in the entire network.
One of the dudes I play bball with is an engineer for ercot, the texas agency that is often blamed for the Feb 2021 freeze.
His explanation of last years freeze:
1. Nat gas power plants were not built for such cold temperatures and they broke, not the green wind turbines
1/n
2. There just was not enough power generation. Ercot’s job is to best use the power they are given by the power plants and there was not enough so they had to rotate it between the residential areas.
3. Depending on whether or not the city’s residential grids were shared with critical infrastructure that never loses power eg hosptials, fire, and other city stuff, their experiences were different
I college, I was taught and convinced that data analysis could do anything and that if you weren’t using it, it was because you weren’t smart enough to.
A decade later, I would say that besides throwing the datapoints up on a graph, it’s almost always useless.
1/n
The world is too complex to gain understanding from a regression or other complicated mathematical formula.
Even randomized control trials, which people who operate in the real world almost never have access to, are often bullshit.
Today, I think data analysis is mostly how people, namely academics and some professions, choose to communicate.
It’s sometimes useful, but also signaling to show that you’re part of a group.
If you want to be heard in that group, you must speak their language.
1. Not really because 9 times out of 10, a new bolt on company is a new supplier. Most products where you’re getting a benefit from container scale are already there when they sell to thrasio. Combining two factories products is…
inefficient and a headache. Like I said, weak returns to scale. The other problem is timing. You’ve got to have two shipments ready at the same time and they’ve got to fit together.
2. 3pl savings are very minimal because of huge assortment of product (headaches) and inability
to negotiate better pricing with FedEx ans ups because you’re using Amazon.
3. By and large the so called “mom and pop” business owner grinds way harder than the thrasio 9-to-5er and is probably more knowledgeable and smarter. Plus it’s easier for the mom-and-pop to blackhat