The Most Controversial Risk Thought Leader | Alexei Sidorenko

This is a podcast episode titled, The Most Controversial Risk Thought Leader | Alexei Sidorenko. The summary for this episode is: <p><strong>Top 3 Quotes</strong></p> <ul> <li>Risk Management is not really a profession. It's a competency that should be part of most degrees, if not all the degrees, at universities.</li> <li>Most organizations have been disillusioned with the astrology version of risk management.</li> <li>Sometimes, even a little quantification improves the quality of decision-making significantly.</li> </ul> <p><strong>Show Highlights</strong><br /> <strong>[01:17]</strong> Alex shares what the Risk Academy provides<br /> <strong>[03:02]</strong> How Alex got into risk<br /> <strong>[05:13]</strong> Alex's &quot;controversial&quot; blog<br /> <strong>[08:04]</strong> Methodologies, strategies, importance<br /> <strong>[13:52]</strong> What forces Alex to be controversial<br /> <strong>[16:16]</strong> Brilliant idea of dumbing it down<br /> <strong>[17:42]</strong> Approaching risk quantification<br /> <strong>[20:37]</strong> The real question is, how complex can we go?<br /> <strong>[23:29]</strong> How and when organizations should approach quantification<br /> <strong>[26:00]</strong> An unrealistic fairytale based on averages<br /> <strong>[29:03]</strong> Cultural difference in risk management approach<br /> <strong>[30:00]</strong> Alex's predictions in the coming years<br /> <strong>[34:17]</strong> Final nuggets of wisdom</p> <p><strong>Resources:</strong><br /> <a href="https://riskacademy.blog/">RISK-ACADEMY</a><br /> Connect with Alex on <a href="https://www.linkedin.com/today/author/alexsidorenko">LinkedIn</a><br /> Connect with Alex on Twitter<br /> <a href="http://www.its.caltech.edu/%7Ecamerer/Ec101/ProspectTheory.pdf">Prospect Theory: An Analysis of Decision Under Risk</a> by Daniel Kahneman and Amos Tversky<br /> <a href="https://science.sciencemag.org/content/185/4157/1124">Judgment under Uncertainty: Heuristics and Biases</a> by Daniel Kahneman and Amos Tversky<br /> <a href="https://www.semanticscholar.org/paper/Foundations-of-Behavioral-and-Experimental-%3A-Kahneman-Smith/0e2b328ad86793efb261bf224880194ad9eef86b">Foundations of Behavioral and Experimental Economics</a> by Daniel Kahneman and Vernon Smith<br /> <a href="https://www.amazon.com/How-Measure-Anything-Intangibles-Business/dp/1452654204">How to Measure Anything: Finding the Value of ‘Intangibles’ in Business</a><br /> <a href="https://www.probabilitymanagement.org/">Probability Management Conference</a><br /> <a href="https://www.investopedia.com/terms/m/montecarlosimulation.asp">Monte Carlo Simulation</a><br /> <a href="https://www.imdb.com/title/tt1210166/">Moneyball</a><br /> <a href="https://www.amazon.com/Flaw-Averages-Underestimate-Risk-Uncertainty-ebook/dp/B0096CT4VY">The Flaw of Averages: Why We Underestimate Risk in the Face of Uncertainty</a> by Sam L. Savage</p>