"It is clean and complete. It captures almost everything I have watched over the last decade, with the exception of a couple of hours of viewing on flights or in hotel rooms. Normally, the algorithm serves up a menu of options that includes something that will satisfy me. And that's the thing about algorithms: They are tuned to normality. They make predictions based on statistical likelihoods, past behavior, and expectations about the continuation of trends."
"Unable to do much else, I turned on the TV and started looking for a movie to watch. But everything the streaming services suggested just felt ... off. I recognized myself and my interests reflected back at me in the suggestions: a documentary about the financial system; a movie about food; a show about travel in East Asia. But none of it clicked."
Algorithms make predictions based on past behavior, statistical likelihoods, and expectations, so they perform well under normal conditions. Algorithms struggle with outliers and shifts in internal states because they lack access to bodily and emotional signals that can change preferences. Intuition functions as rapid, evolved pattern recognition that integrates internal signals and prior experience to handle novel or atypical situations. Two skills improve outcomes: sharpen rapid-decision instincts to act effectively under uncertainty, and recognize when personal internal information or missing context makes one the relevant data. Calibrated judgment balances intuition and algorithmic advice.
Read at Psychology Today
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