We all know that one person who obsesses over something and just takes it to the next level all together. There happens to be a bunch of those guys at the Technical University of Munich, and these guys happened to be obsessed with Game of Thrones. Now why are we not surprised? Because, you and I are probably just as obsessed as these nerds.
WARNING – I just love saying this – SPOILER ALERT! Well, statistical spoilers, if these count.
So, it’s 2016 and a data analyst can figure out anything. I mean anything! Including which Game of Thrones characters have the highest probability of biting the dust. In their project A Song of Ice and Data, the students inputted as much data as they could lay their hands on from sources related to both the book and TV series, such as Wiki of Ice and Fire, Game of Thrones Wiki, Wikipedia, and Twitter. This data lead them to develop an algorithm that studied over 20 features of the characters in the series, including age, title, gender, number of dead relations, and popularity. The series has a total of 2,028 characters, with males being twice the number of females. The student found out that men are more likely to be noble, and women are more likely to be peasants. However, men were more likely to be killed off, with men having a 33% death chance, and women having 23%.
Furthermore, their algorithm followed a machine-learning process, meaning it kept on scraping and updating risk factors and character features in order to output an optimized set of results. Now, no guessing business is needed to figure out Ned Stark’s death chances; he’s Sean Bean – man’s dead already. But guess what? Jon Snow’s death is a statistical anomaly.
He did not deserve to die! Why? WHY!?!
Ok. Deep breaths. Easy. Read on.
So the algorithm predicted the likelihood of death for all of the characters. On the “most likely to bite it” list were the following names: