In an earlier post we have defined the parliamentary presence and shown that the data from Brazilian and Lithuanian parliaments exhibits anomalous diffusion. Actually we have analyzed Lithuanian data [1], while Brazilian data was considered by Vieira and others [2]. Also in a follow up post we have shown that a noisy voter model is able to reproduce ballistic regime and normal diffusion when we consider individual agent trajectories. Now let us extend the model to account for sub-linear diffusion of parliamentary attendance.

We invite you to watch this video by SciShow in which they discuss mathematical and physical mechanisms behind some complex patterns in nature.

In a previous post we have defined the parliamentary presence and shown that the data from Brazilian and Lithuanian parliaments exhibits anomalous diffusion. Actually we have analyzed Lithuanian data [1], while Brazilian data was considered by Vieira and others [2]. This time let me constructed a voter model to replicate the observations.

Big investors borrowed lots of GameStop stocks in anticipation that the price will drop (they "shorted" the stock). But the price did not drop. The big investors "shorted" further expecting that other market participants would follow suit in selling GameStop stocks. They didn't and then trolls from reddit joined the fray...

No one knows when and how this will end, but some people on reddit will earn a lot. While some big capital investors will hopefully loose a lot and learn a lesson.

Detailed explanation of what is happening in the following video by the TLDR News US.

While my postdoctoral project has already finished (actually it did finish almost a year ago), I still have things related to it I want to discuss here on Physics of Risk. This time let me take an empirical perspective, let me consider parliamentary presence data. Why this data could be interesting to us? Because, it was shown that parliamentary presence in the Brazilian parliament does exhibit anomalous diffusion [1]. And it seems that Lithuanian Seimas does too [2].