1135: Sandra Matz | How Algorithms Read and Reveal the Real You
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Companies harvest 6GB of your data hourly. Psychologist Sandra Matz explains how they predict everything from depression to politics—and how to fight back.

**Full show notes and resources can be found here: **jordanharbinger.com/1135)

What We Discuss with Sandra Matz:

• Companies collect ~6GB of data per hour on individuals through social media, credit cards, smartphones, and location tracking, enabling predictions about personality, politics, and mental health.
• Facebook identified depressed teenagers in 2015 and sold this information to advertisers rather than providing support, prioritizing profit over well-being.
• Algorithms need just 300 likes to know someone better than their spouse, while facial recognition can determine sexual orientation with 81% accuracy from facial features alone.
• "Anonymized" data isn't truly anonymous — three credit card transactions can uniquely identify a person, revealing unintentional information beyond our curated online personas.
• Data co-ops offer a practical solution for regaining control. MS patients in Europe and Uber drivers in the US have formed co-ops to collectively manage their data, allowing them to benefit from data aggregation while maintaining ownership and directing outcomes toward their shared interests rather than corporate profit.
• And much more...

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