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This is Chaos Engineering, a newsletter on Entropy
This is Chaos Engineering1, a newsletter about engineering, machine learning, economics, statistics, finance, and startups.
That’s a lot of topics but these are all things I love!
I’ve spent a decade working in Fintech at some of the largest financial institutions in the world (AIG, the Commonwealth Bank of Australia, and Goldman Sachs), startups (Fast, Unidos), and a post-IPO Fintech company (Affirm) in roles spanning data science, machine learning, software, data engineering, credit, and fraud.
I’m also an angel investor and an LP in the Fintech Fund.
Some of the articles I write will be from my blog and others I’ll write only here but they’ll cover all the different topics I mentioned above, hopefully from an engineering perspective. 😉
Why “Chaos Engineering”? Because the modern world is chaos and engineers make their best attempts to impose structure on a chaotic world sprinting towards entropy and I find that wildly entertaining.
I think Shane Parrish best described chaos and entropy, and it quite perfectly reflects my worldview, so I will leave you with his words.
Entropy, a measure of disorder, explains why life seems to get more, not less, complicated as time goes on.
All things trend toward disorder. More specifically, the second law of thermodynamics states that “as one goes forward in time, the net entropy (degree of disorder) of any isolated or closed system will always increase (or at least stay the same).
Entropy is simply a measure of disorder and affects all aspects of our daily lives. In fact, you can think of it as nature’s tax.
Left unchecked disorder increases over time. Energy disperses, and systems dissolve into chaos. The more disordered something is, the more entropic we consider it. In short, we can define entropy as a measure of the disorder of the universe, on both a macro and a microscopic level. The Greek root of the word translates to “a turning towards transformation” — with that transformation being chaos."