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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1135: Sandra Matz | How Algorithms Read and Reveal the Real You 01:27:34 Share

The Jordan Harbinger Show

Shownotes Transcript

1135: Sandra Matz | How Algorithms Read and Reveal the Real You