Lies, damned lies and statistics

By Katherine Evans

Data and statistics are all around us, and it’s no different at work. Whether we’re making hiring decisions, analysing employee opinion surveys, or evaluating the success of training programmes, dealing with data is often a key step in making decisions.P1_scientist_logo

How well we do this can make the difference between making a good and a bad decision, so it’s vital that we’re armed with the best tools and skills for the job.

We’re launching a series called ‘Think like a scientist!’ and over the next few months, we’ll share a series of blog posts and downloadable resources, to help you to understand and apply scientific and statistical principles and to challenge research and statistics more effectively. We’ll be explaining how to spot good research and evidence when it’s presented to you and how our own biases and thinking errors can prevent us making rational, evidence-based decisions.

In short, we want to help everyone think like a scientist!

Our first paper ‘Lies, damned lies and statistics‘ explores some of the most commonly encountered statistical mistakes and misconceptions. We explain how data can be used to tell a certain story, and overhyped to make unreasonable claims. We’ll also give advice and tips to think about when you encounter statistics in your organisation, to help you make sure you’re getting the full picture.

Click here to download “Lies, damned lies and statistics”.

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