1161. Genius, Rejected: Emergent Ventures Versus the System
A discussion on the rejection of a young mathematical talent by universities, highlighting systemic failures in recognizing and nurturing exceptional abilities within academic institutions.
1162. Light Vehicles Sales Increased to 16.41 million SAAR in July
Bill McBride discusses the increase in light vehicle sales to 16.41 million SAAR in July, highlighting trends and comparisons to previous months and years.
1163. Trump is Getting Desperate
An argument that Trump's economic policies are failing, leading to inflation and low approval ratings, which may prompt desperate political actions against democracy.
1164. What can India do to industrialize?
The discussion centers on India's industrialization challenges, historical strategies, and necessary reforms to enhance economic growth and reduce poverty.
1165. Housing August 4th Weekly Update: Inventory up 0.6% Week-over-week; Down 10% from 2019 Levels
The post discusses recent trends in single-family housing inventory, noting a week-over-week increase and comparisons to previous years' levels.
1166. As Trump's tariffs take shape, is America really winning?
Rafael Nam discusses the uncertain impact of Trump's tariffs on the U.S. economy and global trade dynamics.
1167. What really goes on at the Bureau of Labor Statistics (Update)
Darian Woods discusses the Bureau of Labor Statistics' job report process and its significance, especially following President Trump's dismissal of its head after disappointing growth figures.
1168. Magical Thinking
Scott Sumner discusses the complexities of fiscal policy and the misconceptions surrounding quick fixes to economic issues, highlighting recent examples and political implications.
1169. Business Cycle Indicators – A Turning Point?
Menzie Chinn analyzes employment data and economic indicators to assess potential turning points in the business cycle.
1170. My Weekly Reading for August 3, 2025
David Henderson discusses various articles on government actions, financial privacy, and minimum wage issues in his weekly reading roundup.
1171. Trump's jobs data denialism won't fool anyone
Nate Silver discusses the reliability of U.S. economic data and critiques the politicization of data interpretation, particularly in relation to employment statistics.
1172. The Economics of Smoot-Hawley 2.0, Part I
The post discusses the implications of Trump's tariffs, comparing them to the Smoot-Hawley Act, and highlights their negative impact on families and U.S. credibility.
1173. The Composition of the FOMC
Bill McBride discusses the composition and independence of the FOMC, emphasizing the importance of data-driven decisions free from political influence.
1174. Will data centers crash the economy?
Noah Smith discusses the potential economic impact of the AI data center boom and compares it to past infrastructure booms that led to economic crashes.
1175. Saturday tabs going bye bye
The author shares personal experiences, including a Mahjong parlor visit, a workshop on causal inference, and various cultural observations, blending anecdotes with reflections on social interactions.
1176. A jury orders Tesla to pay more than $240 million in Autopilot crash
A jury found Tesla partly liable for a fatal 2019 crash involving its Autopilot technology, and the company plans to appeal the decision.
1177. Schedule for Week of August 3, 2025
The post outlines the economic data schedule for the week, highlighting key reports like the trade deficit and unemployment claims.
1178. The economics of the U.S. auto industry, a brief history
The post discusses the historical trends in the U.S. auto industry, focusing on employment shifts, production value, and the impact of trade policies on Detroit's economy.
1179. Would you trust an economist with your economy?
Amanda Aronczyk discusses the declining trust in economists and its impact on their work and influence in politics.
1180. Caracas on the Potomac
Paul Krugman discusses the corruption of economic data under the Trump administration and its implications for trust in official statistics.