Blog Streuspanne Statistik
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Blog Streuspanne Statistik

Streuspanne – Statistics and Its Curiosities

Blog and Podcast

Our blogging mathematicians and statisticians Sascha Feth and Jochen Fiedler present exciting news, fun facts and interesting background knowledge about statistics, mathematics and our tool Jurojin and their work behind it in the blog and podcast »Streuspanne – Statistics and Its Curiosities«. With the software Jurojin, operational strength tests can be planned and statistically evaluated.
 

About our Authors:

Sascha Feth
has been at our Fraunhofer Institute since 2005 and already dealt with mathematical statistics during his doctorate. For many years he has been a lecturer in our seminars, giving interested people an understanding of vehicle development statistics. The questions he answers there are one of the inspirations for the topics of this blog.

His Mission:
»I would like to give engineers an intuitive access to statistics without requiring basic mathematical knowledge. To achieve this, we look at various topics from unusual perspectives.«
 

Jochen Fiedler 
After studying mathematics with a focus on statistics, Jochen Fiedler joined our Fraunhofer Institute in 2015. Since then, he has been working on statistical methods for the agricultural sector and vehicle development and is also a lecturer in statistical seminars. Since Corona, he has also been blogging regularly – about all kinds of statistical issues that cross his path in private conversations.

His Mission:
»It is important to me not to lose sight of the big picture in the face of all the statistical numbers and measurements. That's why I want to explain how numbers come about and how their meaning could be interpreted.«

Abbrechen
  • How Comparable Are Incidences From Different Regions

    Streuspanne – Statistik und ihre Kuriositäten / June 07, 2021

    Meldeformular
    © Fraunhofer ITWM

    Having dealt with apparent contradictions between statistical measures in the last blog post, we now delve deeper into how local incidences are determined. There have been occasional criticisms in the German media that the incidences reported by the RKI are too low in some counties. We want to address the question: How large is this effect and how comparable are incidences in different regions?

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  • Using Statistics to Better Understand Reality / 2021

    About Lottery Booths, Donald Duck and Mutated Corona Viruses

    Streuspanne – Unser Blog zu Statistik und Jurojin / January 14, 2021

    Viele bunte Tombola-Tickets liegen in einer Schüssel. Losbude.
    © iStockphoto

    Just in time for the end of 2020, we were surprised to learn that a mutation of the Corona virus is circulating in England. It is not said to be more deadly, but more contagious. Directly, neighboring countries have expressed concern that the mutation could also reach them. So let's ask ourselves today: can we tell from the reported infection numbers if something like this has happened?

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  • Interview With Our Streuspanne Bloggers / 2021

    »Using Statistics to Map Aspects of Reality«

    Streuspanne – Our Blog on Statistics and Jurojin / January 07, 2021

    Unsere Blogger im Interview per Videocall.
    © Fraunhofer ITWM

    The blog Streuspanne has been around for over two years now. Time for an interim balance right at the beginning of the year. In this interview, our bloggers Sascha Feth and Jochen Fiedler look back, talk about developments, goals, the motivation behind it, and the statistical future.

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  • Statistical Quality Control Rejects Conspiracy Theories

    Streuspanne – Our Blog on Statistics and Jurojin / May 15, 2020

    Covid-19 Verschwörungstheorien
    © iStockphoto

    Recently, we looked at the extent to which incomplete infection figures in the Corona pandemic can be compared with warranty data for vehicle components. Today, we use statistical quality control to reject some conspiracy theories surrounding Covid-19.

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  • Extension to the Question: How Can Statistics Be Used to Determine the Dark Figure of Corona Infections?

    Streuspanne – Our Blog on Statistics and Jurojin / April 28, 2020

    Coronavirus COVID-19
    © iStockphoto

    In the last post we presented a simple approach that can be used to statistically estimate the dark figure of corona infections (with regard to SARS-CoV-2). We originally developed the approach to explain at least a large part of the very different mortality rates between Italy and Germany (and less to estimate the number of unreported cases as precisely as possible). At the same time, the approach has aroused great interest among many readers and colleagues. We have therefore decided to develop the approach further so that it can estimate the dark figure even better.

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  • How Can Statistics Be Used to Determine the Dark Figure of Corona Infections?

    Streuspanne – Our Blog on Statistics and Jurojin / April 03, 2020

    Coronavirus COVID-19
    © iStockphoto

    On 2 April, Germany reported 73,000 corona infections and 867 deaths. Italy counts 100,000 infections and 12,000 deaths. Based on these figures, the case mortality rate in Italy is more than 10 times higher than in Germany. Experts are clear: this difference is less an expression of a different health care system or a different population structure, but rather an expression of unknown dark figures.

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