"...Japan, where the differential is only two or three times higher at the top."Yes, but you're clearly a statistical genius.
This is clearly bogus. I'll eat all my shoes for dinner tonight if you can prove to me that the senior executives (much less CEO) at Mitsubishi, Mitsui, Sumitomo, and Yasuda earn only 30% more than the bottom 20% of Japanese society. [...] Plenty of people have made careers on bogus statistics work.
On average, chief executives at Japanese companies with more than $10 billion in annual revenues are paid about $1.3 million a year, including bonuses and stock-option grants, according to Towers Perrin, a consulting firm, based on data gathered between 2004 and 2006. But chiefs in the U.S. are paid about $12 million, and chiefs in Europe are paid $6 million.Hint: WSJ does not stand for World Socialist Journal.
In terms of income and wealth distribution, the US is and probably has been for decades the most unequal society the Earth has ever known.I'm willing to bet that this award goes to, well, China.
Correlation does prove causation, it just doesn't tell you what direction it goes in (or if there is a third hidden cause)."Correlation does prove causation, it just doesn't tell you what direction it goes in (or if there is a third hidden cause)"No it really, really doesn't. IQ and foot size are strongly correlated but one does not cause the other. But maybe you just phrased that really poorly.
The problem is that the quip misstates the error.I'm not sure it does. The quip is just a statement of fact. Causation != correlation is true simply because they are two different words. So, why would someone need to point this out? The implication is that the person they are addressing doesn't know the difference -- i.e. assumed A caused B without considering the alternative because they're an idiot. It's meant to be a dismissive, smart-ass remark and nothing more. It's also saying "I don't know what the causality is myself, but I'm pretty sure you're wrong anyway," otherwise why bother saying it at all when you could instead lay out possible causes or refute that the correlation exists?
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posted by kldickson at 12:36 PM on March 15 [5 favorites]