Dr. John Johnson headlined our Hadooponomics show this week as we took a wide view of how we use data to influence our decision-making process. For his part, Dr. Johnson is a PhD economist and founder and CEO of the firm Edgeworth Economics. Additionally, Dr. Johnson has also recently published his first book, Everydata.
What I especially loved about this episode was our discussion around how to influence and inform others with data. Instead of discussing the usual narrative around how we can better understand data, we took a look from the opposite angle. In this episode we focused on what data-savvy influencers (like those of you in our audience) can do to make sure that their work is not misinterpreted or misunderstood. Over the course of the episode, we touched on everything from data manipulation tactics to inherent biases within presidential polling, and had some fun discussing absurd spurious correlations as well.
We also dive into Dr. Johnson’s experience as an expert witness for major corporate trials and his own stories of growing an analytic centric organization from its founding to over 80 employees. This episode should prove useful to anyone who is responsible for influencing decisions based on their work with numbers.
Listen to the Show
Find Dr. Johnson on Twitter: @everydata.
Learn about Dr. Johnson’s new book, Everydata.
Check out the collection of spurious correlations we reference, including the relationship between Nicolas Cage movies and pool drownings.
Check out the #badgraphoftheday hashtag on Twitter to see examples of misleading news headlines.
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