This mug was straight trippy mane, yadig?
5/24/2013 12:23:03 AM
5/24/2013 12:24:03 AM
I, a universe of atoms, an atom in the universe.
5/24/2013 12:39:59 AM
One of my favorite reads ever- "The Pleasure of Finding Things Out" is a collection of his short writings and some transcribed speeches. Guy has some hilarious stories and some fascinating points of view. I need to read that again soon.
5/24/2013 12:43:14 AM
second central moment to the mean less one. if you can tell me what this value is for a purely-poisson distribution I have a paper for you to read
5/24/2013 1:43:42 AM
Well the second central moment (a.k.a. the second moment around the mean) is known as the variance (square of the standard deviation), and for a Poisson distribution with parameter L, both mean and variance are L: https://en.wikipedia.org/wiki/Poisson_distribution
5/24/2013 6:48:39 AM
I would generally think that a moment would be about the mean. Seems even more redundant to say the central moment in addition to that.And does paerabol just want us to subtract 1 after that? not clear on that.Or maybe the 2nd moment about {the mean minus 1}[Edited on May 24, 2013 at 10:55 AM. Reason : ]
5/24/2013 10:54:42 AM
5/24/2013 11:19:22 AM
Awesome feller!Him and Dave Brubeck went through crazy similar hair phases.[Edited on May 24, 2013 at 11:28 AM. Reason : !]
5/24/2013 11:26:35 AM
anyone with even a passing interest in the universe should watch his Cornell lectures. it's not too much of an overstatement to say that with the right mindset they can be life altering.
5/24/2013 11:38:55 AM
5/24/2013 12:12:25 PM
He has a great response to some idiot reporter asking about magnetism.
5/24/2013 2:10:23 PM
I'm a mathematician, so the following quote kinda irks me...but it's still pretty bad-ass
5/24/2013 2:21:01 PM
Murray Gell-Mann talks about Richard Feynman http://www.youtube.com/watch?v=rnMsgxIIQEE
5/24/2013 2:52:49 PM
SO MUCH WIN MANE
6/12/2013 11:25:46 PM
I was admittetly being intentionally vague. The Feynman-Y parameter is just a ratio of the variance to the mean of a distribution, minus 1. It's a measure of excess variance, so a purely-Poisson distribution (where the two are at unity) yields Y=0
6/13/2013 9:00:24 AM
Is this the dude from lost?I'm Krallum and I approved this message.
6/13/2013 9:24:57 AM