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Thoughts about the markets, automated trading algorithms, artificial intelligence, and lots of other stuff
Debt often enables governments to run smoothly. But sometimes you can have too much of a good thing.
The US recently passed $20 trillion in debt for the first time. To put that in perspective, I am going to reference an article I wrote in 2011 … when the debt was approaching $15 trillion.
Here is what the $15 trillion U.S. debt looked like when it is piled up in stacks of $100 bills.
To put it in context, do you see the tiny tractor trailer? Squint, and you can see the barely visible human in front of it.

via WTFNOWAY
The United States has a net wealth of approximately $300 trillion. Nonetheless, the statistics are sobering.
Take a look at the list of country debt as a percentage of GDP. Apparently, Japan has embraced its inner borrower.
According to the World Economic Forum, if the Japanese wanted to pay off their national debt, each individual would owe approximately $90,345. For comparison, US citizens would owe $61,539 a person.
It's also worth noting that lower debt levels don't translate to safety on a global scale. Yugoslavia had very low government debt until its breakup.
If you want to see an updated, interactive version of the U.S. Debt Clock, just click here. It is worth spending a little time to watch the pace the numbers turn.

Here are some of the posts that caught my eye recently. Hope you find something interesting.
Years ago, when my kids were still children, Macy Gray came out with a song called "I Try."
When I heard the kids singing, the chorus went:
I try to say goodbye and I choke, I try to walk away and I stumble, though I try to hide it, it's clear, I wear goggles when you are not near.
Of course, it's not "I wear goggles when you are not here", even if my youngest son swore it was … The actual line is "My world crumbles when you are not near" … which makes a lot more sense.
This has happened to me several times as well (recently, too – which prompted this post).
Turns out, we humans are pattern-matching machines. But not all of the patterns we perceive are really there.
Peter Kay plays on our disposition with this funny bit about misheard lyrics.
Worth a watch.
via YouTube
Recently, I was interviewed on The American Dreams Show. with Alan Olsen.
Alan is a wealth manager to the ultra-wealthy. His American Dreams show is very popular in Silicon Valley.
It's a show about finding your path in life, and making businesses thrive through adversity and challenging economic times.
We talked about my career path and how I went from a young lawyer to spending over 25 years running tech companies … and we talked about the lessons I learned along the way.
It is different than other interviews I've done. Take a look.
via The American Dream (transcript is here)
I also encourage you to check out some of the other American Dream interviews.
Good stuff!
Old people and their joints … it's becoming an issue.

Here are some of the posts that caught my eye recently. Hope you find something interesting.
There's a lot of "hype" these days. Social media and tools like Kickstarter would have you believe that every new idea is the "next big new thing".
In contrast, Gartner's Hype Cycle Report is a considered analysis of market excitement, maturity, and the benefit of various technologies. It aggregates data and distills more than 2,000 technologies into a succinct, contextually understandable, snapshot of where various emerging technologies sit on the hype cycle.
Understanding this hype cycle framework enables you to ask important questions like "How will these technologies impact my business?" and "Which technologies can I trust to stay relevant in 5 years?"
What's a "Hype Cycle"?
As technology advances, it is human-nature to get excited about the possibilities we imagine … and then to get disappointed when those expectations aren't met.
At its core, the Hype Cycle tells us where in the product's timeline we are, and how long it will take the technology to hit maturity.
At this point in time, Machine Learning/Deep Learning and Connected Homes are at the peak of their hype cycles … Meanwhile, Augmented Reality and Blockchain have matured past the hype phase (with Self-Driving Cars following close behind).
This year, according to Gartner, there are three overarching "mega-trends" to watch.
Here is the chart. You can click the image to see it larger.
via Gartner
For comparison, here is the chart from last year; and you can check out my article on 2015's hype cycle here.
via Gartner
The hype cycle gives us an idea of which of these technologies will likely survive the market hype and have a potential to become a part of our daily life.
Here are the five regions of Gartner's Hype Cycle framework:
Which technologies do you think are over-hyped … and which ones might survive the hype?
I find this stuff fascinating. Consider some of the interesting technologies just starting their hype cycle:
We live in amazing times!
Onwards.
Social Media often becomes a "best-of" reel of our lives … carefully curated to show off our best selves.
Imagine what that leads to for us and our children … ??
It is tough to live up to your social media standards (let alone to keep up with others').
This Instagram model (apparently, that's a thing now) with over half a million followers took to changing her captions to display the falsehoods.

via The Guardian
How tempting is it to photoshop (or embellish) a little? In a recent survey of 2000 British people, more than 75% admitted to lying about themselves on social profiles.
Here is a chart ranking the most common topics people are most dishonest about.
via 10Awesome
Fake photos, fake ownership, and relationship lies top the list.
There was something magical about taking a trip back before everything was a camera.
Here are some of the posts that caught my eye recently. Hope you find something interesting.