Polymathic Being Podcast

Today's topic Builds on our first essay on the Keys to Innovation, Embrace the Divergents, which shares insights for inviting the divergents, pirates, and rebels to rethink the way we do innovation. The next step is probably the first toward actual change; you have to face the fear of change. We’ll investigate the basis of these fears and propose some opportunities to not only overcome the fear but leverage that concern into amazing innovation.

Today's topic challenges the over simplified assumption that stereotyping is bad. In this exploration we look at what stereotypes are, how they are applied and misapplied, and how to leverage the strengths and avoid the pitfalls of this powerful social tool.

Today's topic dives into crypto currency and blockchain in general to look at the positives and negatives of where these technologies can take us in the future. We’ll introduce blockchains, cryptocurrency, and blockchain analytics and then focus on what can happen when governments begin leveraging blockchains and some of the risks involved.

Today's topic looks at climate science in an effort to contextualize what we are seeing from climate change within the larger realm of what we should be expecting. I’m not trying to be absolute or prescriptive. I’m just trying to investigate a topic that I feel has a lot of questions we are ignoring. Therefore, this essay will attempt to investigate the baseline of where we are measuring the change in climate from, against the larger historic record. I hope I can open up questions and discussion because I think we have a chance to identify brilliant and overlooked opportunities to advance both humanity and all life on this planet.

Today's topic tackles my consistent frustrations with the Data Science community and how they apply machine learning algorithms and other tools to data without fully understanding the rest of the context. While this problem isn’t constrained to Data Science specifically, this discipline does lead the pack in examples. To understand this problem we’ll focus on three things that have been forgotten. The first thing forgotten is the history of where Data Science came from and the second two things forgotten derives from the first, and leads to the majority of the issues with applying Data Science solutions.

Today's topic gets into something that is not only counterintuitive, but really frustrating for so many people. It’s the behaviors, over and over, that everyone says they don’t want, but keep doing, and keep getting rewarded for, while so many, who try to break the cycle, are penalized. It’s the paradox of the successfully unsuccessful.

Today's topic addresses a common perspective that I’m finding in the Startup world that they are somehow unique in how they execute and how they need to focus on shipping features at high velocity and, more often than not, overlook the product, process, and people maturation that is essential to long term growth.

Today's topic looks at three common fallacies that I’ve found leaders tell themselves thinking they’ll provide success. Yet I find them as the primary causes of organizational inefficiency. If I see one of them, I typically see two or more as they seem to build off of each other. These three failure modes also have a simple solution to remedy, or better yet, prevent any leader from falling victim to these fallacies and improve overall performance.

Today's topic addresses accepted tropes of eating, diet, and insights into how little we really know about something as simple as eating / or not eating. I’ll share some of my experience on this topic culminating with my most recent 10-day fast. Yes, that’s 10 days of nothing but water, coffee, and electrolytes. I’ll share things I’ve learned along the way about the benefits, and lessons learned about what not to do.

Today's topic engages the idea of bias in artificial intelligence (AI) and looks at how such a simple term actually isn’t, and leads to a fundamental misunderstanding of how to achieve the outcomes we desire from AI.