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Thank you! Is it only me or do others also get `SSL_ERROR_NO_CYPHER_OVERLAP`?

Page seems inaccessible.


It seems to require QUIC, are you using an old or barebones browser?


Super strange, not at all.

Most recent, FF, Chrome, Safari, all fail.

EDIT: And it works now. Must have been a transient issue.


The issue is that there isn't a great alternative.

The euro is difficult to manage because of the diffuse control, pound an even smaller economy, RMB just not global enough (and tough argument to see that happening), gold/bitcoin/whatever not the same inherent stability.

Indeed the dollar weakening, but nothing really to take it's place.


The ECB is not diffusely controlled.


CHF?


Literally cryptocurrencies are the single greatest alternative ever made. Opt out of the system where the government can just print money into thin air and old guys drawing dots on a plot set interest rates in closed meetings. If you want to hedge USD exposure just buy a Bitcoin ETF or if you really can't stomach cryptocurrencies b/c you don't want to be ostracized from the orange site, buy Gold. We are not going back to the way the world was and if you have all your money in USD realize you are on a leaking boat.

It is entirely possible to manage funds in crypto for growth and move some amount into more liquid USD denominated assets or MMFs when you need liquidity.


Right up until you lose your internet access.


It'll all still be there when you get it back.


Why would you get it back?


--You don't want the bank to give you your money back?--

edit: I misunderstood, or do you mean why would you get your internet back? If you're not getting your internet back, I can only offer you're not getting your money back either.


I think the home buying sites do a decent job here for both search and drill down.

Redfin search: https://www.redfin.com/zipcode/94110 Redfin listing: https://www.redfin.com/CA/San-Francisco/3000-3006-26th-St-94...


The straw man is always that self-serve fails because every user cannot use data well at work. The reality is some users will be inclined to solve their own problems and others will not, but self service is available to many users with deployed BI, and SQL is nearly always not the way they are doing it.

Most times I see this type of article, it's with folks that have never worked in a modeled BI tool. Salesforce data, for example, is very complex. But an ability to make a table of live opportunities with metadata and order them freely, next to usage data in an app is self service BI. It's not hard; it takes some setup; but it's self service.

The idea that folks can jump from business understanding to fully mapping the data as it lives in the data warehouse, on the other hand, is not trivial and won't be. The nuance of the real world is hard.

Different types of users need different interfaces - SQL all the way down to point and click. And there's no free lunch on modeling raw data to bring it to a consumable place for the company.


Yes, provide different ways for different users to sove their own issues. Then technical people can solve the hard ones.


Gross profit is what most people think of as revenue. What they start with after goods and shoppers less COGS.


I don't understand why you would do this when short term Treasuries or money market funds exist. There are far better solutions than what you suggest.


It really makes no sense. The bank's "cash" is really just database entries with the Fed anyway, why not loan the money to the Fed overnight (reverse repo) at 5%? The reason GP's dream doesn't exist is because MMs do effectively the same thing and pay you.



We have metrics for these things ("Capitalists are taking a larger and larger share every year"), no need for hyperbole: https://fred.stlouisfed.org/graph/?g=1Pik


Good Bloomberg interview with him (month old): https://www.youtube.com/watch?v=kgCUn4fQTsc&ab_channel=Bloom...


Has anyone found credible research around mean, min, max, average vis-a-vis climate change? Quick search didn't surface anything beyond lots of average temperatures and median forecasts, but less about the distribution of climate.

Edit: trying to understand the decomposition of average temperatures increasing (more hot days, hotter hot days, etc)



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