Learning Statistics the Fun Way with Karl Schmedder

​When I think back on Karl Schmedders’ lessons, the word that keeps coming up is unforgettable. He’s not the kind of professor who hides behind formulas through theory. Instead, he has the rare ability to make statistics and finance not only understandable but also entertaining and deeply relevant to real life.

From Abstract Concepts to Real-Life Insights

Karl has a talent for explaining abstract concepts, such as regression models and sampling distributions, and demonstrating their relevance to the world around us. One moment we were looking at diamonds, where Karl explained that their prices depend on multiple factors such as cut, colour, clarity, carat, and certification. However, in the sample we analyzed, only carat (weight) was available. We therefore used regression to demonstrate that weight alone already explains some of the variation in price. The next moment, we were examining why election polls so often fail because of poor sampling methods. Suddenly, these weren’t just academic exercises, but tools to decode the world.

Lessons That Travel Beyond the Classroom

That point about sampling errors hit home for me on a personal level. I’m currently leading a social acceptance survey in Fuerteventura, Spain, and I found myself directly applying some of Karl’s tips on survey methods. For example, I thought carefully about how representative the sample really was, and how easy it was to overlook certain groups of people. Without exaggeration, his lessons have helped me approach the project with sharper eyes and more effective tools.

And The Examples Kept Coming

We looked at BMW lease prices and calculated depreciation with regression, discovering that the annual lease fee more than covered the expected loss in value. We even unpacked the failure of Google Flu Trends, which at one point badly overestimated flu outbreaks because people searching “flu” online weren’t always actually sick. Each of these cases showed how the same tools could reveal insights or mislead depending on how thoughtfully they were applied.

The Human Impact Behind the Numbers

What makes Karl stand out even more is how he connects the classroom to the outside world. He invited Annalisa Pawlosky, a Senior Scientist at Google, who showed us how Google is applying these very same methods, only at a massive scale, for healthcare. Watching her explain how data is used to predict disease patterns and improve health outcomes made everything we’d studied suddenly feel very big, very real, and very impactful.

Then there’s Karl’s style. He’s entertaining in the best sense: energetic and funny. He always pulls in unexpected stories that stick with you. Rather than lecturing his audience, he draws them in, challenges their thinking, and keeps the room alive.

So, what did I really take away from his classes? I learned that data is only powerful if it’s the right data. I learned that statistics is about decision-making, not just mathematics. I also learned that real-world examples matter. Whether it was diamonds, BMWs, gas consumption, polling failures or healthcare breakthroughs, Karl made sure we saw the human impact behind the numbers.

Looking back, I can say that his classes offered more than just an academic experience. They reminded me of the reason I started studying in the first place: to acquire the skills that would help me overcome real challenges, such as conducting a survey in Spain, advising start-ups, and understanding how markets react.

So, what did I really take away from his classes? A few key lessons that will stay with me:

• Data is only powerful if it’s the right data. Garbage in, garbage out–  is something I’ll never forget.
• Statistics is about decision-making, not just math. It’s about making smarter choices when uncertainty is everywhere.
• Real-world examples matter. From diamonds and BMWs to gas consumption, polling failures, and healthcare breakthroughs, Karl made sure we saw the human impact behind the numbers.