Earthquake model

One of the classical examples of power-law distributions may be found in geology. It is the Gutenberg-Richeter law, which relates the number of earthquakes to their magnitude. Mathematically this relation is expressed as \( \lg N = a - b M \). Here \( N \) is a number of earthquakes of certain magnitude \( M \) or stronger, \( b \) is empirically determined and depends on seismic activity of the region, while \( a = \lg N_0 \).

In this text we will briefly present self-organized criticality model, which reproduces the power-law distribution of earthquakes - Olami-Feder-Christensen model.

Elementary model reproducing q-Gaussian distribution

q-Gaussian distribution is rather interesting generalization of the well-known Gaussian distribution. This generalization arises from the generalized, non-extensive, statistical mechanics, which was proposed by C. Tsallis two decades ago. Despite the fact twenty years have passed there is no simple physical model reproducing the q-Gaussian distribution. But our colleague Julius Ruseckas recently proposed one [1]. In this text we will briefly discuss his "correlated spin" model and will present two related interactive applets.

N. Hanauer: Beware fellow plutocrats the pitchforks are coming

Ideas present in Thomas Pikkety's book "Capital in the Twenty-First Century" has shaken up the world this summer and now apparently the economic inequality is viewed as a serious problem. But until recently it was a problem interesting only to a few scientists and couple enlightened people. Nick Hanauer was one of the more well-known people who talked about this problem "before it was cool". We invite you to listen to his talk recorded for TED website.