Data Science Gone Wrong

Bad Maps

Cartastophe is a website dedicated to studying poorly created maps provides a wide berth of map imagery and in depth commentary that range from criticizing bad map design principles.

Mistakes made by the infamous quants

It turns out common mistakes made by financial quants mirror common mistakes made in data science in general. This article references tendencies towards overfitting, training the model on training data versus test data, and consequences of overly complex models.

Dangers of cumulative consequences

Because data science is perceived as a nascent profession, it is currently funded and supported as a viable new mode of problem solving. However, with an abundance of mistakes and limited awareness, there is a risk that the profession, with many of the pitfalls and limitations similar to the field of statistics, will become once again marginalized and misunderstood.