What distribution pluffy to buy for an aspiring econometrician? My girlfriend is an Actuarial Analyst at a large insurance company in the Netherlands and because we'll soon have our two year anniversary, I thought of gifts for her.
On Proof: Math is beautiful I discovered these Distribution pluffies.
So here's my question: What distribution is of the most relevance in the field of an econometrician?
The available pluffies are:


*

*Standard Normal Distribution

*t Distribution

*Chi-Square Distribution

*Log Normal Distribution

*Continuous Uniform Distribution

*Weibull Distribution

*Cauchy Distribution

*Poisson Distribution

*Gumbel Distribution

*Erlang Distribution


Any help much appreciated.
EDIT: Thanks a lot for all the suggestions despite this being just off-topic! I'll get her the t Distribution pluffy.
 A: You're in big trouble if you're asking us for gift advice.
A: Insurance is all about skewed distributions with long tails: think amount of loss. These also typically have only positive values. The log-normal distribution looks most like one of those. Another good option is the Gumbel distribution, which comes up in extreme value theory.
A: Aren't econometricians concerned with the price of t (distributions) in China?  It has the large (on occasion, infinite) kurtosis recommended by @JD Long, too.
A: You gotta get her one with some Kurtosis. Maybe the t-distribution. And be sure and write a loving note along the lines of, "Baby, when I think of fat tails, I think of you. Your kurtosis makes you non-normal." 
My wife digs it when I get sappy like that. I have the scars to prove it. 
A: From the list I would pick standard normal. After all regression is the main tool of econometrician and usually econometrician can rely only on asymptotic results, hence standard normal rules them all :) 
Having said that I would not like to get a standard normal distribution pluffy (I am not a girl, but can be considered econometrician) for standard normal is so widely used that it is a bit mundane. So you can choose log-normal, since econometricians use log-log regression extensively or Cauchy as a reminder, that not all distributions have finite moments.
