Peter Navarro on Tariffs, Labor Statistics, and Fed Chair Powell

CPI Report and Inflation Outlook

• 💡 The CPI report showed inflation at 2.7%, but the Federal Reserve's preferred gauge, the Personal Consumption Expenditures Index, is lower at 2.2-2.4%, closer to target.
• 📊 Since Trump took office, annualized inflation based on a six-month basis has been 1.9%.
• 📉 Energy prices were down, food prices were flat, and shelter costs, while up, are considered a lagging indicator.
• 🗣️ The speaker believes this indicates a "beautiful situation with inflation" and urges Fed Chair Powell to act.

Tariffs and Economic Impact

• 🛒 Small business owners, like Stu Leonard of a grocery chain, are struggling with rising prices and eating into margins, hoping for relief through Trump's trade deals.
• 🌍 The speaker argues that foreign countries are absorbing the impact of U.S. tariffs because they rely on the U.S. market, rather than U.S. consumers or businesses bearing the full cost.
• 📈 Goldman Sachs research suggesting U.S. consumers absorbed 22% and businesses 64% of tariff costs is dismissed as untrustworthy.

Trust in Government Data

• ❓ A question of trust is raised regarding the Bureau of Labor Statistics (BLS) jobs report, especially after the nomination of EJ Antoni, a Trump loyalist, to lead the agency.
• 📉 The speaker claims BLS data has consistently been wrong in ways that punished Trump, citing phantom jobs created and erased during the Biden years.
• 🧐 There is a suggestion that private research might be more reliable than government data, with some questioning if the government should be in the data-reporting business.

Criticism of Fed Chair Powell

• 🏛️ Peter Navarro expresses a desire to sue Fed Chair Jerome Powell over the renovation of the Federal Reserve headquarters, citing excessive taxpayer spending.
• 💰 Powell's performance is criticized, with three major blunders in six years costing the economy tens of billions of dollars and over a million jobs.
• ⚠️ The core issue is described as Powell providing bad information and making decisions based on that flawed data, leading to uncertainty and economic harm.