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Recent quotes:
What Killed The Infographic?
The quirky, experimental infographics that once peppered the Internet may be disappearing. But that's only because data visualization, as a medium, has finally grown up and gotten a job.
I Fooled Millions Into Thinking Chocolate Helps Weight Loss. Here's How.
My colleagues and I recruited actual human subjects in Germany. We ran an actual clinical trial, with subjects randomly assigned to different diet regimes. And the statistically significant benefits of chocolate that we reported are based on the actual data. It was, in fact, a fairly typical study for the field of diet research. Which is to say: It was terrible science. The results are meaningless, and the health claims that the media blasted out to millions of people around the world are utterly unfounded.
How I Failed In Digital Advertising: A Traditional Ad Vet's Story
Across the ecosystem, we collectively consumed the Kool-Aid when it came to the capacity of big data, technology and math to provide the answers to the industry’s toughest questions. The response to each seems to have been the same chorus: “The data will tell us,” “Let the machines decide,” or “The algorithm will optimize for the answer.”
Yet more than 20 years into the digital advertising revolution, many difficult questions stubbornly remain. Attribution and cross-platform brand metrics come to mind.
The Ultimate Guide to Content Marketing (Just Kidding, It's Me in SpongeBob Underwear) — Sorry for Marketing
To be clear, data is the source of lots of good in our industry. But, as it's so often used incorrectly, it mostly becomes a tool to make a selfish case for something. Often, those things are shortcuts or personal agendas that aren't good for the customer or audience. As this English major has been learning for years, numbers can be twisted in an even more dangerous way than words since they seem more "concrete."