At the dawn of the web in the mid-1990s, in many of the media companies that employed me, one of my responsibilities was supervising the metrics department.
In case that sounds like a big deal, this was well before the days of data scientists and multi-variable analysis, and in most cases the metrics department consisted of one lone individual.
And that person often felt like no one listened to them.
After all, much more significant than the actual numbers he or she gathered was figuring out how to interpret that data. In and of themselves, of course, the numbers were neutral. But the people we worked with had a wide variety of opinions over what those numbers actually meant.
Was our audience growing? Which types of content were most successful? What was success in this type of media environment anyway? Which metric mattered most?
Occasionally, especially in the early years, we would publish a story that “broke the servers,” i.e., generated more traffic that our system could handle. There was little debate on those occasions over whether we had a winner, particularly because additional things tended to happen to support the data.
Things like attention from other media outlets, a big reaction from our audience and a boost to whatever financial metric (subscriptions, ad sales, memberships) we were tracking.
It may sound cynical, but my experiences caused me to eventually draw a few conclusions about us collectively:
Most of us are not real comfortable with math.
Most of us see what we want to see in the numbers and don’t see what we don’t want to see.
Most of us don’t change our behavior or opinions even when the numbers say we should.
In the end, I wondered, what did the data itself think about all of this obvious human frailty? That is one reason I have long been apprehensive about the coming of generative artificial intelligence — we may be about to find out the answer to that question.
LINKS:
U.S. soldier believed to be in North Korean custody after unauthorized border crossing, officials say (CBS)
Ukraine aims to sap Russia’s defenses, as U.S. urges a decisive breakthrough (WP)
Russia struck Ukraine's port of Odesa with missiles and drones, a day after pulling out of a deal to let Kyiv export grain. (Reuters)
One Reason China Is Willing to Engage Again: Its Troubled Economy (NYT)
How much trouble is China’s economy in? (Economist)
Modi and India’s Diaspora: A Complex Love Affair Making Global Waves (NYT)
Why the Remote-Work Debate Stays So Heated (Atlantic)
Donald Trump says he’s a target of special counsel’s criminal probe into 2020 election aftermath (CNN)
Georgia’s top court rejects Trump’s attempt to block prosecutor in 2020 election inquiry (Guardian)
House Republicans propose planting a trillion trees as they move away from climate change denial (AP)
How Gretchen Whitmer Made Michigan a Democratic Stronghold (New Yorker)
Is Tennessee a Democracy? (Atlantic)
The heat index reached 152 degrees in the Middle East — nearly at the limit for human survival (WP)
The heatwave engulfing the northern hemisphere is set to intensify, leading to an increased risk of heart attacks and deaths, according to the World Meteorological Organization. (Reuters)
Another massive plume of smoke from Canada fires fouls air in Lower 48 (WP)
An Ancient Battle Is Playing Out in the DNA of Every Embryo (Wired)
Scientists Are Just Beginning to Understand COVID-19's Effect On the Brain (Time)
An ancient arms race has helped insects gain resistance to pesticides, again and again (Science)
What is AI? An A-Z guide to artificial intelligence (BBC)
Hollywood is on strike over AI, but companies see creative potential in digital humans (VentureBeat)
Authors Join the Brewing Legal Battle Over AI (PW)
Cincinnati Reds Grounds Crew Member Goes Viral After Rain Delay Blunder (SI)
Apartment Listing Cagey About Whether Unit Has Floor (The Onion)
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