Is a KPI good or bad?

How to create your own KPI and live happily ever after. When trying to derive insights from a dataset and defining KPI the causality bias is a common error. Often it goes together with another common error: attributing an insight to the wrong KPI, or better said: deriving the wrong […]

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The butterfly effect

How the Roman Empire influenced US rocket science (and why fact-checking is important!) The US standard railroad gauge (distance between the rails) is 4 feet, 8.5 inches (143,51 cm). That’s an exceedingly odd number. Why was that gauge used? Because that’s the way they built them in England, and English […]

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Cognitive and data biases – the selection bias

When analyzing a dataset sometimes we are working with data that does not represent the reality but it’s the result of a seleciton. This means that the seleciton made before the analysis is already creating a data bias. For example if we work with panel data we must make sure […]

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