Episode 28: The vibes are off
Wear is the Love Episode 28
On this week’s episode, we talk about the role of influence in DC politics and who has it via this Rolling Stone article, “SCOTUS Justices ‘Prayed With’ Her — Then Cited Her Bosses to End Roe”. We also talk about all the whispers surrounding the coming(?) recession and how economist Kyla Scanlon has written a hilarious and informative article called “The Vibecession.” Her piece got me thinking about the amount of cynicism in American culture towards America itself right now, and how that’s affecting us all. Many vibes on this pod. Many vibes.
The Top 5 articles for your week:
“The Vibecession: The Self-Fulfilling Prophecy” (Substack)
Because are we headed into a recession? No one knows! But Americans are starting to feel like we are, and that counts for a lot.
“Joe Biden: Why I’m going to Saudi Arabia” (Washington Post)
Because President Biden defends his trip Saudi Arabia, despite the country’s involvement in the murder of journalist Jamal Khashoggi and other human rights issues, and essentially lays out his Administration’s approach to the Middle East.
“Unsettled” (The Verge)
Because last week, we included a housing crisis article in the Top 5, and this week, The Verge covers the bureaucratic mess for housing refugees at the moment, especially since Biden administration officials report that the US is not hitting resettlement targets.
“Signs of Life” (Hazlitt)
Because “Psychologists agree that repeated exposure to trauma stories, even if that exposure is only second-hand, leads to a “disrupted world view,” one wherein the world no longer appears benign.”
“There I Almost Am” (Yale Review)
Because this is a more unusual article to include in the Top 5 — more literary than ideas-based — but it’s about what it’s like to be a twin. It’s beautiful.
Get full access to Reclaiming Hope Newsletter at reclaiminghope.substack.com/subscribe --- Support this podcast: https://podcasters.spotify.com/pod/show/wear-we-are/support
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.