Overview of Inside the "biggest deregulatory action in U.S. history" (Marketplace)
This Marketplace episode (Feb 13) covers several economy- and policy-focused stories: a closer look at the latest CPI inflation report and jobs data; the Trump administration’s repeal of the EPA “endangerment finding” (called the largest deregulatory action in U.S. history); the rise of concierge primary care; advances in AI weather forecasting; market reaction and a short note on a potential partial DHS shutdown. Guests include Catherine Rampell, Greg Ip, reporters Kaylee Wells and Samantha Fields, and Tim Fernholtz.
Inflation, jobs and what the data mean
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Key facts
- January CPI: headline inflation +2.4% year-over-year (down from 2.7%), core inflation (ex-food & energy) about 2.5% — the lowest core reading since 2021.
- Fed’s preferred inflation gauge suggests inflation may still be closer to ~3%, above the Fed’s 2% target.
- Tariff-driven price pressure has shown up in some goods (appliances, furniture, new cars) but the overall tariff impact on inflation was smaller than earlier forecasts.
- Shelter (housing) inflation: roughly +3% year-over-year — decelerating but still painful for renters and prospective buyers.
- Jobs: revisions showed weaker job creation in the prior year than initially reported, but January added about 130,000 jobs — a mixed picture.
- Real wage growth and stronger wage gains are helping, but consumer sentiment remains weak.
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Takeaways and implications
- The headline numbers are good news, but “the devil is in the details”: alternative measures and sector-level data (shelter, tariffs) can tell a different story.
- Tariff effects may be peaking and then fade, which could help bring inflation down further through the year.
- Persistently higher inflation could delay Fed rate cuts, keeping mortgage rates elevated and affecting housing affordability.
- Labor market softness in revisions suggests growth has been more sluggish than earlier believed, even with pockets of recent strength.
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Notable quote
- Greg Ip: “There’s actually several different ways to measure inflation,” emphasizing how different gauges can produce different policy implications.
EPA repeal of the “endangerment finding” — stakes and reactions
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What changed
- The administration repealed the EPA’s 2009 endangerment finding (which stated greenhouse gases threaten public health and welfare). The administration calls it the largest deregulatory action in U.S. history and estimates $1.3 trillion in taxpayer savings, with lower vehicle manufacturing costs ($2,400 per car) and reduced regulatory spending.
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Critics’ arguments
- Scientists and environmental advocates call the move a major win for fossil fuel interests and warn it will increase health harms and climate-related costs (fires, floods, heat waves), with long-term economic and human costs not fully captured by the administration’s accounting.
- Hidden costs: less fuel-efficient vehicle purchases could raise gasoline use and long-term competitiveness of U.S. automakers.
- Regulatory whiplash: changing rules create investment uncertainty; companies may delay or scale back clean-energy investments because long-term policy expectations matter for 10–20 year decisions.
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Expert lines
- Dana R. Fisher (American University): “I’m going to call BS on that,” disputing the administration’s claim about the net savings.
- Akshay Jha (Carnegie Mellon): noted companies make long-run decisions and may not respond with immediate shifts to dirtier technologies simply because the rule changed.
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Implications
- Potential increase in public health and climate costs not reflected in near-term regulatory savings.
- Greater legal and policy uncertainty that could slow energy and auto investments.
- Political and litigation risks ahead as states, cities, and advocacy groups may respond.
Concierge medicine: why more primary care doctors are switching
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The trend
- The number of practices charging an annual concierge fee nearly doubled between 2018 and 2023 (Harvard study).
- Fees often run in the thousands of dollars per year; physicians still bill insurance but take fewer patients.
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Drivers
- Reimbursement pressure: lower pay per patient plus more complex, older patients.
- Burnout and administrative burden push doctors toward a model that allows more time per patient.
- Example: Dr. John Sidlecki reduced his panel from ~3,800 to 600 after switching and reports much better professional satisfaction and patient care.
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Pros and cons
- Pros: more time with patients, potentially higher-quality primary care and clinician well-being.
- Cons: access and equity problems — patients who cannot afford fees may lose long-standing doctors; risks magnified in rural areas and communities with primary care shortages.
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Human example
- Katie Wang paid $2,000 to stay with her concierge doctor and attributes earlier cancer detection and better care to the model.
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Policy considerations
- Growing concierge adoption raises questions about access, workforce distribution, and whether system-level changes (payment reform, administrative simplification) could reduce the push toward concierge models.
AI meets weather forecasting
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What’s changing
- Deep learning models trained on government and other weather data are beginning to outperform some traditional numerical weather models in certain tasks (tracking hurricanes, cold fronts).
- Google already incorporates ML-based weather models into some products; European services and the U.S. National Weather Service are experimenting with AI models.
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Strengths and unknowns
- ML models can be very accurate and computationally cheaper once trained, but their internal reasoning is often opaque.
- Scientists debate trade-offs: “if it works, it works” vs. the scientific value of understanding why a model works — understanding could help improve physical models and data collection.
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Potential
- The new models could extend reliable forecasting horizons (perhaps approaching weeks to a month) and democratize forecasting, but they still depend heavily on government-collected input data.
- Private sector leads due to large compute budgets, but the relationship between public data and private modeling remains symbiotic.
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Notable quote
- Tim Fernholtz: ML models “are actually able to predict the weather better than the traditional way.”
Markets, other headlines, and closing notes
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Markets (that trading day)
- Dow: +48 points; Nasdaq: -50 points; S&P 500: +3 points. Weekly losses for major indices.
- Auto stocks: GM +1.4%, Ford +1.9%, Rivian +26.6% after strong earnings.
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Other short items
- DHS partial shutdown possible after Congress left without a deal — would affect ~13% of federal workforce (FEMA, TSA). ICE and CBP remain funded via last summer’s appropriations changes.
- Sponsors and program credits.
Notable quotes
- Dana R. Fisher (American University) on EPA repeal: “I’m going to call BS on that.”
- Dr. John Sidlecki (concierge physician): “I would absolutely do it again.”
- Tim Fernholtz (on AI weather models): they “are actually able to predict the weather better than the traditional way.”
Practical takeaways for listeners
- Inflation: headline numbers are improving, but watch alternative inflation measures and shelter costs before assuming policy easing; tariff-driven price effects may fade this year.
- EPA repeal: short-term regulatory savings cited by the administration are contested; expect debate over public-health and climate costs, and possible legal/policy battles.
- Health care access: concierge medicine may improve care for some but risks reducing access for others; pay attention to local supply of primary care.
- Weather forecasting: AI is improving forecasts and is becoming embedded in consumer products (e.g., Google); it may extend reliable forecast horizons in coming years.
- Markets & policy: regulatory changes and macro data revisions can cause volatility and shape long-term investment decisions across energy and auto sectors.
(End of summary.)