standarddistributions

Crises separate the wheat from the chaff, so they say. Not knowing one’s own situation carries risk. The narrower the operational environment, the higher the risk. When cost pressure rises, it is an instinctive reaction to analyse cost and start savings programmes. Adding urgency and unreliable information significantly raises theRead More →

coronachart1

A picture speaks a thousand words. In times of Corona and the incessant media coverage of the subject, I thought it might be interesting to analyse the data myself. I used the data provided by John Hopkins university to create the chart above and a few others. Globally speaking, theRead More →

library

There is usually more information in a given dataset than one would expect. The Austrian Post scandal has demonstrated this impressively and gives a faint idea of what Google is capable of doing, especially given the information grows faster than linear with the amount of data. So having more dataRead More →