Normal distribution: Difference between revisions

Jump to navigation Jump to search
no edit summary
No edit summary
No edit summary
Line 11: Line 11:
But when [[Mrs. Pinterman]] then cries, “fire” the situational dynamic is very different: ''everyone'' tries to leave at once. Even those who didn’t hear Mrs. Pinterman directly, because they instinctively copy everyone else, who did.
But when [[Mrs. Pinterman]] then cries, “fire” the situational dynamic is very different: ''everyone'' tries to leave at once. Even those who didn’t hear Mrs. Pinterman directly, because they instinctively copy everyone else, who did.


When assessing probabilities, therefore, pay attention to the dependency of the events. If two events can influence each other — you bought a stock, it went up in price, so I bought it too, kind of thing — ''[[normal distribution]]s do not apply.
When assessing probabilities, therefore, pay attention to the dependency of the events. If two events can influence each other — you bought a stock, it went up in price, so I bought it too, kind of thing — ''[[normal distribution]]s do not apply.''


This seems an obvious lesson; the JC feels less patronising about stating it since failure to heed it led to the collapse of [[LTCM]] ''and'' the [[global financial crisis]]. This from someone who really should have known better:
This seems an obvious lesson; the JC feels less patronising about stating it since failure to heed it led to the collapse of [[LTCM]] ''and'' the [[global financial crisis]]. This from someone who really should have known better:
Line 17: Line 17:
{{Quote|“We were seeing things that were 25-standard deviation moves, several days in a row.”
{{Quote|“We were seeing things that were 25-standard deviation moves, several days in a row.”
:—David Viniar, Chief Financial Officer, [[Goldman]]}}
:—David Viniar, Chief Financial Officer, [[Goldman]]}}
''Twenty five'' [[Standard deviation|standard deviations]]. That makes [[LTCM]]’s feeble ''ten'' sigma event seem a virutal certainty. We have it on good authority that the probability of a 25 standard deviation move is 1.309 x 10<sup>130</sup>. <ref>Good [https://www.nottingham.ac.uk/business/who-we-are/centres-and-institutes/gcbfi/documents/cris-reports/cris-paper-2008-3.pdf paper on this from Nottingham University].</ref> That looks a big number, but to a lay person, it doesn't really have the same impact as writing it out, so let's to that.
''Twenty five'' [[Standard deviation|standard deviations]]. That makes [[LTCM]]’s feeble ''ten'' sigma event seem a virtual certainty. We have it on good authority that the probability of a 25 standard deviation move is 1.309 x 10<sup>130</sup>. <ref>Good [https://www.nottingham.ac.uk/business/who-we-are/centres-and-institutes/gcbfi/documents/cris-reports/cris-paper-2008-3.pdf paper on this from Nottingham University].</ref> That looks a big number, but to a lay person, it doesn’t really have the same impact as writing it out, so let’s do that:


{{Quote|1 day in 1.3 billion billion billion billion billion billion billion billion billion billion billion billion billion billion days.
{{Quote|1 day in 1.3 billion billion billion billion billion billion billion billion billion billion billion billion billion billion days.
Line 26: Line 26:
By comparison, the earth is 1 658 000 000 000 days old, and the universe itself ten times older than that (16 580 000 000 000 000 days). So the [[Goldman]] [[CFO]] was talking about an event that you would only expect once in several trillion trillion trillion trillion lives of the universe, happening ''several days in a row''.
By comparison, the earth is 1 658 000 000 000 days old, and the universe itself ten times older than that (16 580 000 000 000 000 days). So the [[Goldman]] [[CFO]] was talking about an event that you would only expect once in several trillion trillion trillion trillion lives of the universe, happening ''several days in a row''.


So, no, Mr Viniar: you weren’t seeing cosmos-defying anomalies. ''Your models were wrong''. But enough already of the chutzpah.<ref>But, [[get your coat]], you know?</ref> The practical lesson is that, unless you are dealing with normally-distributed events, normal probabilities are a ''really'' bad proxy at the extremes. ''Ninety-nine per cent of the way there is nowhere. It isn’t good enough''.  
So, no, Mr Viniar: you weren’t seeing cosmos-defying anomalies. ''Your models were wrong''.
 
But enough already of the chutzpah.<ref>But, [[get your coat]], you know?</ref> The practical lesson is that, unless you are dealing with normally-distributed events, normal probabilities are a ''really'' bad proxy at the extremes. ''Ninety-nine per cent of the way there is nowhere. It isn’t good enough''.  


''All'' existential crises sit in the last 1 per cent — last 0.01 per cent, even — because the defining feature of an existential crisis is ''everyone panicking and selling at once''. These are, by definition, the events a normal distribution says will not happen, because events in a normal distribution are independent of each other.
''All'' existential crises sit in the last 1 per cent — last 0.01 per cent, even — because the defining feature of an existential crisis is ''everyone panicking and selling at once''. These are, by definition, the events a normal distribution says will not happen, because events in a normal distribution are independent of each other.

Navigation menu