podcast episode with speaker Adam Bahret

In 1942, the US Air Force needed to figure out how to get more bombers home. They were losing them at an atrocious rate. They made a study of where the returning bombers were being hit. It was a great data set. But they should have done better in interpreting that data. Abraham Wald, a mathematician, corrected their assumptions and created the Survivorship Bias principle. This principle has changed the way we look at data sets and trends. It is a concept that I apply to field failure data sets regularly more than once. It has caught evidence of core issues that would have otherwise been missed.

This webinar will open your eyes to this important perspective. It’s so simple and has made many heroes in the data analysis world since Abraham Ward. This webinar is for you if you analyze data or even manage teams that use data. You can learn how your data sets tell you much more about your field failures than you think.

This webinar is for anyone who works with or manages data-based programs. There are no math or statistics prerequisites. We are covering a philosophy.

This Accendo Reliability webinar originally broadcast on 21 July 2020.

The Survivorship Bias PrincipalAdam Bahret

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