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Two timelines. Dozens of videos. One uncomfortable pattern: our feeds are training us to fight. We set out to play a simple game—“Whose feed is it?”—and ended up mapping how algorithms steer attention toward outrage, race-bait clips, and culture-war content designed to keep you scrolling and seething.
We start with a candid look at intra-Catholic debates and why public commentary on big moves—like media personalities joining major platforms—should be fair game. Then a body-cam video from a church stops the jokes cold: a man tries to breach a tabernacle while a lone officer hesitates. We talk through drugs vs. possession, the importance of proper procedures, and how policy-driven optics can put both citizens and officers at risk. It’s not anti-police to say training and backup save lives; it’s pro-reality.
From there, we follow the week’s algorithmic arc: EBT panic, fraud clips, and the budget math no one wants to discuss. We break down how inflation acts as a stealth tax, why debt service is swallowing policy space, and how little truly changes across administrations once you look past the branding. Meanwhile, social video continues to spotlight bad behavior because it pays—and the more people rage-share, the more these moments define whole groups. That’s not good reporting; it’s content engineering.
To lighten the mood (a bit), we explore the strange and hilarious corners of Zoomer meme culture—white Monster energy, Agartha lore—and how even these jokes become identity markers the platforms can sort and sell. The throughline: feeds shape frames, frames shape feelings, and feelings drive choices in the real world. The fix isn’t to hide; it’s to raise your standards above the algorithm’s incentives. Curate what you consume, interrogate what’s missing, and talk openly about institutions and influencers without losing your grip on charity or truth.
If you care about media literacy, Catholic commentary with a backbone, and untangling policy from performance, this one’s for you. Listen, share with a friend, and tell us: what’s the strangest pattern your feed has been pushing lately? Subscribe, leave a review, and send us your best (or worst) algorithm finds—we’ll feature our favorites next time.

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