We're Headed for a Big Crash - No Matter What
Stansberry Research Stansberry Research
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 Published On Sep 30, 2024

On this week's Stansberry Investor Hour, Dan and Corey are joined by Bob Murphy. Bob is the chief economist at technology firm infineo, author of more than a dozen books, and a passionate advocate of free markets. He explores a wide variety of topics on this week's podcast, from how history is repeating itself... to the U.S. dollar's inevitable fall from dominance... to the harmful consequences of low interest rates.

Bob starts the show by explaining what exactly infineo does, how it's making life insurance an asset class, and the advantages of tokenizing life insurance. He also discusses one of his books, the Politically Incorrect Guide to the Great Depression and the New Deal. Even though the book is more than a decade old, and even though it's about the U.S. economy in the 1920s and 1930s, its lessons are still relevant in today's economic context. Bob notes that there's going to be a big crash no matter what.

Next, Bob talks a bit about the presidential election, the effects of Donald Trump pulling out of the Paris Agreement, and the government's out-of-control spending problem. He predicts that the U.S. dollar will lose its status as the world reserve currency by the 2040s, and voices concerns that the U.S. is following China's lead toward a Big Brother police state with social credit scores.

Finally, Bob shares his thoughts on the current state of the economy. He covers hyperinflation, Federal Reserve Chair Jerome Powell's actions, the inverted yield curve, and former Fed economist Claudia Sahm denying the validity of her own 100%-accurate recession indicator. Bob also talks about the harm caused by low interest rates and how they lead to malinvestment, allowing bad businesses to stay alive.

0:00 Life insurance; FDR & New Deal; history repeating; crash inevitable
18:57 Election; government spending; U.S. dollar decline; police state
39:54 Inflation; Powell; recession; the problem with low rates; faulty statistics

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