What do Alexander Hamilton, Harry Potter, and Bayesian Statistics Have in Common?
Source: How Statistics Solved a 175 Year Old Mystery About Alexander Hamilton
Oh, when I read this, I knew this would appeal to the history geek in me, while also satisfying the tech comm geek in me as well. When the click bait of this article says, “What do Alexander Hamilton, Harry Potter, and Bayesian Statistics Have in Common?”, you know I went for the bait. And knowing that Alexander Hamilton’s reputation is becoming more relevant thanks to the Broadway musical, “Hamilton”, I thought this would be relevant to share.
Not only did I come away with a cool story about The Federalist Papers and statistics, but the thing that kept coming back to me was how tech comm has become advanced enough that we use many of the same techniques in content strategy now. To be more specific, Mark Lewis and his talks and book about XML metrics instantly popped into my head, and how we use similar statistics to figure out how to economize our content, and provide the best ROI for the content that is created.
Read this article, then go back and read my articles about Mark’s talks about XML Metrics here and here. You’ll see where I was making a connection.
What do you think about this? Do you think that The Federalist Papers project laid the groundwork for XML metrics and other metrics we use today in tech comm? Why or why not? Include your comments below.
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