Uno_Card9
2.6K posts

Uno_Card9
@Uno_Card9
🇺🇸U.S.A.🇺🇸 I am not a bot and I don't allow followers





Graphic from the NYT: Lawmakers who use the F-word the most 🟦AZ: Ruben Gallego (77) 🟥WI: Derrick Van Orden (35) 🟦WI: Mark Pocan (30) 🟦CA: Eric Swalwell (29) 🟦CA: Robert Garcia (23) 🟦HI: Brian Schatz (14) 🟦OH: Greg Landsman (11) 🟦PA: John Fetterman (11)










One can scarcely muster any lingering sympathy for @BrianAtlas at this juncture. The progenitor of the @Whatever Podcast has, with shrewd deliberation, engineered a profitable enterprise that assembles panels of young women—predominantly sourced from the Los Angeles milieu of aspirant influencers and nightlife denizens—for extended disquisitions on dating, gender dynamics, and ancillary societal themes. What might appear as repeated subjection to intellectual paucity is, upon closer inspection, a calculated stratagem: these sessions reliably generate viral clips, commanding millions of views through the spectacle of unvarnished bewilderment.Regarding the evident diminution in participants’ cognitive acuity, the observation transcends mere subjective perception. In recent episodes, such as Dating Talk 285, panelists have faltered at elementary inquiries—for instance, when queried on the nation encompassing the Great Wall of China, one earnestly proposed “Asia,” while struggling equally with the alphabet’s letter count or the days of the week ending in “Y.” This pattern likely arises from a confluence of influences: selective casting that privileges photogenic, clout-seeking individuals over those possessing substantive erudition; the contemporary cultural ascendancy of affective “vibes” and performative authenticity above factual literacy; and the cognitive erosion fostered by fragmented digital attention economies and uneven educational outcomes. Far from anomaly, the podcast thus serves as an unflattering mirror to broader societal currents, wherein basic geographical and historical literacy appears increasingly elusive among certain cohorts. Brian, far from enduring punishment, continues to harvest the algorithmic rewards.

























