The addiction takes over at exactly 9:30 A.M. on business days. I hold my breath to see what phases the stock market. Could Pfizer skyrocket over 50 percent because of news for a groundbreaking cancer drug? Could McDonald's dip 50 percent because of higher than expected trans fat in Big Macs?
More than a century ago, Mark Twain said, "There are lies, damned lies, and statistics." It's a great quote that is more true than ever. As I wrote in Too Big to Ignore, in an era of Big Data, there is tremendous opportunity and arguably more incentive to create, ignore, and pervert information.
Future reports (and their press releases!) must be more nuanced than meat/sunlight/fresh air causes cancer. Policymakers and, by extension, their constituents, need to be able to trust the WHO as the best source of information available.
Through a Vice documentary last year, grime artist JME asked for transparency to be brought to something that affects both his livelihood and his way of life: performing music. Without realizing it, he may well have been talking about a need for open data.
The horror stories from the winners - involving mob hits, cyanide poisoning, bankruptcy, divorce - made it seem like a public service to steal the tickets from everyone buying one.
The ludicrous amount of coverage of a basically uninterpretable experiment suggests a surprising amount of interest in the basis of sexuality, and I am even more irritated by this than I am by poor use of statistical analyses.
False claims and inaccurate statistics about modern families abound. Many of these focus on dads, the most misunderstood part of the modern family. Mainstream media is filled with headlines and references to surveys that get fathers completely wrong.
Lately, I've been hearing one phrase abused repeatedly, and it's worth a moment's reflection to consider its true meaning. That phrase is "small sample size." I hear this phrase in every broadcast, every hour, before every hard stop for a commercial break.
For my entire career I just thought that I was a statistician that was really good at finding the deep insights from data and who could write a bit of code in a few languages. Then, a few months ago I started taking some workshops at one of the hot new "trade schools" that teach code, analytics, marketing, UX and more.
It is widely assumed that crime is increasing, and is prima facie evidence of a breakdown of public order and private morality. Yet the facts point in quite the opposite direction. Indeed, the latest U.S. crime data has stunned even the most optimistic of observers.
Smoltz battled past those who would cite biased statistics with an injury comeback story and selflessness that can inspire any athlete.
I am closely following the UN Conference on Financing for Development happening now in Addis Ababa, Ethiopia, and I am thinking of the potentialities and the (hopeful) opportunities that a conference of this caliber can have on a global scale, making a meaningful impact on the lives of millions of people in developing countries.
With another baseball season underway, I've been reflecting on the revolution within the game. Since Michael Lewis' Moneyball hit the shelves, baseball analytics departments have become the "thing" in front offices all around the game.
The fact that LGBT issues were raised at the Commission has already come to the attention of the Center for Family and Human Rights, an anti-gay UN watchdog group. For LGBT people, the power of visibility and information is undeniable.
There is little evidence to support concerns that PG-13 rated movies are sparking an epidemic of gun violence among youth because there is no epidemic of gun violence among youth.
Data science is all the rage. Almost every CMO I know wants a data scientist for their very own - they are the status symbol du jour for senior executives everywhere. But... building the right data science team for your organization is not as easy as picking the right data scientist.