Weekend Reads

Here is a collection of stories I’ve read throughout the week, and think you may enjoy. So grab a cup of coffee or 5 and enjoy!


  • Why Some Cities Are Buying Trailer Parks. With housing affordability becoming a major problem in hot real estate markets, some cities are stepping in. (Pew)
  • How to Be a C.E.O., From a Decade’s Worth of Them. Good read full of valuable career and life advice. (NYTimes)
  • 10 Points About Forecasting and Why We Stink at It. The ability to forecast is more widespread than ever – more information, more forecasting technology. But many forecasts fail because humans fail; we’re poor forecasters. Understand the limitations of forecasting, and you may succeed at forecasting. (Bloomberg)
  • Learning To Spot Fake News: Start With A Gut Check. Bottom line – fake news is a legitimate problem. It is obviously a huge societal problem if people cannot critically discern reality. (NPR)
  • The Fragmentation of Society. One of the best holistic analyses I’ve read in a while about the impacts of automation, longer life expectancy, and social fragmentation. (Mauldin Economics)


  • How Floyd Mayweather Helped Two Young Guys From Miami Get Rich. A crazy story about a questionable company, a fake CEO, fake company ties to various people, and more. As ICOs grow in popularity – with no oversight and protections – expect this space to be filled with the shadiest of characters. Just like every other bubble. (NYTimes)
  • We’ve Not Thought Through the Legal and Ethical Disruption of Augmented Reality. AR’s long term promise is huge; I personally think its impact will eclipse the web. The web has provided a blueprint of what do to, and what not to do. Hopefully AR can learn from the web’s mistakes. (NewCo)
  • THE WEB BEGAN DYING IN 2014, HERE’S HOW. As web traffic became centralized in a handful of powerful players, the nature of the web began to change. This article is an excellent analysis of how this happened, and the impact of monopoly. (Staltz)
  • 2017 – The State of Data Science and Machine Learning. Good breakdown of the state of affairs in the data science world. (Kaggle)

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