Boom, it's on the Blockchain

There are occasional substantive economic explanations (the Fed's discretionary vs. rules-based monetary policy mechanism, CBDC transaction-level data risks) but the vast majority of the episode is high-level political commentary and libertarian platform recitation with negligible actionable content for a B2B operator. Padding and affirmations dominate the runtime.

“every six weeks we lock up 12 really smart, really well meaning, really well educated people in a room and we basically ask them what is their mood regarding the economy going forward. This is how it's done.”

“the Fed's policy does not reduce the boom bust cycle swings in the American economy or anywhere else around the world. Empirically, uh, we believe, we have the data that demonstrates that a simple rule that controlled how much money stock was allowed to be created would do a better job”

The episode recycles standard Friedman-era monetarist arguments (rules-based 3% money supply growth, end the Fed) and decades-old libertarian drug policy positions without any novel framing, first-principles development, or counterintuitive angles. Nothing here would surprise anyone who has read libertarian policy literature.

“if you control the monetary base and allow it to increase at only, for example, 3% per year, you would never give inflation an opportunity to take off”

“We need to allow these currencies to compete. We don't think that we should be picking a winner, that the government or anyone else should be picking a winner in an unfair fashion.”

ter Maat has genuine practitioner credentials - White House economist, decade of DC policy advocacy, academic teaching, police officer - giving him real-world grounding across multiple domains. However, from a B2B operator standpoint he is entirely a policy and political figure, not a builder or operator at scale, and much of the episode has him delivering party platform rather than hard-won practitioner knowledge.

“I am by trade a professional economist. I've taught economics at three different universities. I worked for the White House for a couple of years.”

“I also spent about a decade in Washington advocating for free markets and uh, and greater competition, mostly in the financial services space.”

A handful of concrete data points appear (60,000 signatures in six weeks for NY ballot access, 1.9M vs 1.2M incarceration figures, 3% vs 2% inflation targets) but most economic claims are asserted without citation - 'we have the data' is stated but the data is never produced - and policy arguments rely on vague generalities throughout.

“We are required to collect something like 60,000 signatures in something like a six week period, which is enormously expensive.”

“Empirically, uh, we believe, we have the data that demonstrates that a simple rule that controlled how much money stock was allowed to be created would do a better job”

The host repeatedly uses filler affirmations ('Perfect, perfect,' 'Yeah, yeah, no, no, that's very interesting') and asks broad setup questions that let the guest deliver pre-formed talking points unchallenged. There is no meaningful pushback, no probing follow-up, and the host often pivots mid-topic rather than drilling into specifics.

“Perfect, perfect. So just to give a bit of insight, because I know a lot of people, uh, when they look at America, they only know of the two parties”

“Yeah, yeah, no, no, that's very interesting. So, you know, I was looking at your site before you came on the show”