em500

61 ms·

871.
by em500 6y ago
Some economists / sociologists classify this as low-trust/high-trust societies. In low-trust societies, trust typically does not extend far beyond family and personal connections. There's nothing Islamic about it: low-trust i
872.
by em500 6y ago
It seems everything old is new again. Wikipedia on Kremlinology[1]: During the Cold War, lack of reliable information about the country forced Western analysts to "read between the lines" and to use the tiniest tidbits, such a
873.
by em500 6y ago
If you're importing from command line tools, you might as well use the specialized `shuf` tool: shuf -i 1-$bignum or for random numbers with replacement shuf -i 1-$bignum -r -n $bignum These give you a sample of random in
874.
by em500 6y ago
For the official US inflation calculation, this is probably in BLS series CUSR0000SEFT01 (Soups in U.S. city average, all urban consumers, seasonally adjusted). You can get the data (starting from 1978) here: https://beta.bls.go
875.
by em500 6y ago
It's hard to tell if this post was satire or something the author genuinely believes.
876.
by em500 6y ago
You can always opt for Alpine or Tiny Core or such if you're into minimalism. IIRC Debian and Ubuntu install lots of localizations by default, which takes up quite some space.
877.
by em500 6y ago
It's not absurd that Int64 isn't the default, because: 1. nullable Int64 was only implemented recently, still experimental, and changing defaults can break lots of existing code 2. implementing nullable Int64 was a very non-trivia
878.
by em500 6y ago
The question is asked to owners . Renters are asked how much they actually paid in rent. The main reason why owners are asked for their estimate is because owner-occupied houses can be systematically different (probably more expensive&#x2F
879.
by em500 6y ago
Pass dtype = {"colX":"Int64"} for the columns that you want to read as a Nullable integer type: https://pandas.pydata.org/pandas-docs/stable/user_guide/inte...
880.
by em500 6y ago
You could try Clickhouse. It's a bit heavier than DuckDB and the default mode is server-client. But you can also use the client (a single binary) without a server to directly query data from csv or parquet files. edit: added a better l
881.
by em500 6y ago
The ISO8601 weekdate format[1] is tricky, but it can be done: SELECT strftime('%Y', yyyymmdd, '-3 days', 'weekday 4') || '-W' || substr('00' || (((strftime('%j', date(yyyymmd
882.
by em500 6y ago
I'm curious why electricity is so cheap there. If it's caused by subsidies, the alternative is obviously replacing the subsidies by income transfers. If it's not caused by subsidies, there must be a better way to profit fro
883.
by em500 6y ago
It looks like xsd:duration uses duration notation from ISO8601. The rules for combining them or designating recurring intervals are in ISO8601 section 4.4-4.5 [1]. Unfortunately, awareness and library support for ISO8601 interval notation a
884.
by em500 6y ago
Similar for ISO 8601: https://news.ycombinator.com/item?id=26401497
885.
by em500 6y ago
There's a free draft version from the Library of Congress: https://www.loc.gov/standards/datetime/iso-tc154-wg5_n0038_i... https://www.loc.gov/standards/datetime/iso-tc154-wg5_n0039_
886.
by em500 6y ago
1. The current BLS weights for Education is 3.033%, for Tobacco and smoking products 0.608%, that's 20%, not >50% [1]. 2. There are around 20mln Americans in college, versus around 34mln adult smokers. Be careful about peer-group bi
887.
by em500 6y ago
I have occasionally come to the defence of CPI in several threads. What drives is usually that the critic shows little knowledge about that the CPI is and/or how it's actually calculated. There are real technical issues with CPI e
888.
by em500 6y ago
The CPI includes shelter, food, energy, transport, education, medical care, clothing, recreation, and others, with weights that by and large make sense to me: https://www.bls.gov/cpi/tables/relative-importance&#x2F
889.
by em500 6y ago
Other already gave good answers. The main part is that a house is not a consumption product - it is not "consumed" (used up) in a limited timespan, but rather, a bundle of a long-durable part (building) and an ultra-durable asset
890.
by em500 6y ago
Food and Beverages make up 15% of the US CPI basket. Some other major components are Housing (42%) and Transport (15%). Here's the full list, which make up the "general price level": https://www.bls.gov/cpi&#x
891.
by em500 6y ago
There's a ridiculous amount of misconception, FUD, and ignorance around inflation / CPI (it doesn't include housing, it overweights entertainent, it exclude food and energy, hedonic adjustments/basket substitutions make
892.
by em500 6y ago
Here are the most recent weights for official US CPI calculations: https://www.bls.gov/cpi/tables/relative-importance/2020.htm Housing is by far the largest component (42%) (contrary to the common misconcepti
893.
by em500 6y ago
The Kalman Filter is a beautiful algorithm, probably among the top math algorithms of the 20th century. It gives a very fast solution to a specific optimization problem (optimal estimation of hidden/indirectly observed states in a line
894.
by em500 6y ago
Your blog post has so many errors that I don't even know where to start. As another poster mentioned, areas under non-degenerate probability density functions are 1 by definition, whether they're uniform, Gaussian, standardized or
895.
by em500 6y ago
You're stumped because most of the "statistics primer" section in that post doesn't make any sense. The connection between the Gaussian density and the sqrt(pi) heuristic is mostly imaginary. The original heuristic (pi,
896.
by em500 6y ago
A bit more precise: non-recourse ('walk-away') mortgages are only the norm in 11 or 12 states in the US: https://en.wikipedia.org/wiki/Nonrecourse_debt#Footnotes footnote 3,4
897.
by em500 6y ago
Dutch political commentators suggest that there had been a tacit housing policy bargain between the left and right wing parties for many decades: the left delivers large rent subsidies while the right delivers mortgage subsidies for their c
898.
by em500 6y ago
My understanding, from international friends, and many internet articles (like the recent Bloomberg piece on Berlin rent control), is that housing policy is pretty bad in almost all desirable places globally, be it London, Berlin, Stockholm
899.
by em500 6y ago
I don't know the particulars of the other OECD countries, but in the Netherlands, the vast majority of household debts are mortgages (as alluded to in the article). The main drivers are probably the tax policy: mortgage interest paymen
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by em500 6y ago
Yes, according to one of my old economics teachers, above the subsistence level, happiness is approximately how much better off you are than your neighbors.

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