Episodes

The Universal Laws of Success

Episode #108 | June 27, 2019

Episode #108 | June 27, 2019

The Universal Laws of Success

In This Episode

What if we were in the midst of a gold rally, and no one was talking about it? Now that gold is up 7-8% over the last few months, Dan sheds light on why the uptick is so unreported, going largely unmentioned by mainstream media like The Wall Street Journal and Financial Times.

Dan thinks the answer lies in the aftermath of the Federal Reserve’s latest meeting, and the dovish interpretation that prevailed.

Clearly, the Fed is now thinking about supporting asset prices, now that their stated objectives of reaching full employment have already been met. Of course, that has some inevitable consequences. “If you screw with the market this long, the market says, “Uncle, Uncle!” And you gotta have some gold.”

Dan then gets to the far more famous asset rally in Bitcoin, now topping $11,000 as we write. The last time Bitcoin crossed $11,000 on the upswing, Bitcoin $19,873 was just a few weeks away.

Dan then turns to this week’s podcast guest.

Albert-László Barabási is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research and holds appointments in the Department of Medicine at Harvard Medical School and the Central European University in Budapest. A native of Transylvania, Romania, he received his Master’s in Theoretical Physics at the Eötvös University in Budapest, Hungary and Ph.D. at Boston University.

Barabasi is the author of Bursts: The Hidden Pattern Behind Everything We Do, and Linked: The New Science of Networks. He is the author of Network Science and the co-editor of The Structure and Dynamics of Networks and Network Medicine. His work has led to many breakthroughs, including the discovery of scale-free networks in, which continues to make him one of the most cited scientists today.

We think you’ll be fascinated by his insights on what makes people truly successful, and why people’s performances and impacts are actually extremely predictable, if you know a few data points about the networks they support – and in turn are supported by.