Tom Bodrovics & Martin Armstrong , Palisades Gold Radio

Martin Armstrong: The Growing Threat of Digital Currencies & Conflict

29 Apr 2023 • 57 min • EN
57 min
00:00
57:34
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Tom welcomes back Martin Armstrong, CEO & Chairman of Armstrong Economics Ltd. Martin is a hedge fund manager, international advisor and author. Martin speaks out on US's involvement in Ukraine, the risks around Ukraine joining NATO, and the effects of deglobalization. He is also concerned about energy scarcity, inflation, and the capabilities of coming digital currency systems. He believes the US was the instigator of the conflict in Ukraine and never intended to honor the Minsk agreement. World leaders are irresponsible and that the US has never told the truth about any war. Martin suggests that the new reserve currency will be digital, and that the US is heading towards stagflation rather than recession. He believes that the US is heading for war, with the neocons in full control, and that the 2024 election will not be fair. There is too much at stake in politics today. He is critical of censorship laws, and worries that this is just a part of a larger agenda. Time Stamp References:0:00 - Introduction0:42 - Conflict & Ukraine9:40 - ICC & Jurisdiction13:26 - Ukraine History15:30 - International Trade23:30 - Inflation Globally30:04 - War & Energy Scarcity31:33 - Recession & Consumers37:48 - CBDC & Adoption41:10 - Wealth Protection44:20 - Gold Misconceptions50:58 - Trending Concerns53:58 - Power & Media56:25 - Wrap Up Talking Points From This Episode Martin believes the US was the instigator of the conflict in Ukraine and never intended to honor the Minsk agreement.He suggests the new reserve currency will be digital, and the US is heading towards stagflation rather than recession.The US is heading for war, with the Neocons in full control, and that the 2024 election will not be fair.He is concerned about new censorship laws being part of a larger agenda. Guest Links:Website: http://armstrongeconomics.comTwitter: https://twitter.com/strongeconomicsFacebook: https://www.facebook.com/martin.armstrong.167Amazon Book: https://tinyurl.com/ybtrslr9 Martin Armstrong is the Owner and Researcher for the website Armstrong Economics. He is the former chairman of Princeton Economics International Ltd. He is best known for his economic predictions based on the Economic Confidence Model, which he developed. At age 13, Armstrong began working at a coin and stamp dealership in Pennsauken, New Jersey. After buying a bag of rare Canadian pennies, he became a millionaire in 1965 at the age of 15. He continued to work on weekends through high school, finding the real-world exciting, for this was the beginning of the collapse of the gold standard. Martin became captivated by this shocking revelation that there were not just booms and busts, but also peaks and valleys that would last centuries. Armstrong progressed from gold coin investments to following commodity prices for precious metals. In 1973, he began publishing commodity market predictions as a hobby, and in 1983 Armstrong began accepting paid subscriptions for a forecast newsletter. "In Armstrong's view of the world where boom-bust cycles occur like clockwork every 8.6 years, what matters is his record as a forecaster. He called Russia's financial collapse in 1998, using a model that also pointed to a peak just before the Japanese stock market crashed in 1989. These days, as the European sovereign-debt crisis roils markets worldwide, he reminds readers of his October 1997 prediction that the creation of the euro "will merely transform currency speculation into bond speculation," leading to the system's eventual collapse." His Website Armstrong Economics offers a unique perspective intended to educate the general public and organizations on the global economic and political environment's underlying trends. Their mission is to research historical cyclical patterns and market behavior in timing, price, and crisis to understand better and identify potential future trends, using an extensive monetary database and advanced proprietary models.

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