Algorithms Don’t Care About Truth, They Care About Momentum

About this episode

The episode explores how algorithms prioritize momentum over truth, shaping user behavior and amplifying conflict online.

Truth does not always travel fastest online, momentum does. Jesse and Bernie dig into how algorithms amplify emotion, conflict, and outrage, often without regard for accuracy or consequence. Bernie explains why exposure to extreme or opposing content can be informative, even when flawed, because it reveals patterns of thinking and intent. Jesse warns that algorithms shape behavior quietly, nudging beliefs and reactions before people realize what’s happening. The conflict lies in agency: are users choosing content, or is content choosing them. The stakes are psychological and social, as unchecked amplification can harden divisions and normalize hostility. This episode helps listeners understand how digital systems reward repetition, not reflection, and why conscious engagement is essential. If you’ve ever wondered why your feed feels more intense than real life, this conversation will connect the dots. Listen carefully, then share it with someone who thinks algorithms are harmless.

People in this episode

Hosts: Jesse, Bernie

Topics covered

• algorithms
• truth
• momentum
• digital systems
• social media
• psychological impact

Keywords

• emotion
• conflict
• outrage
• agency
• engagement

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