Skip to main content

Coronavirus and Black Swans


We all expect Black Swans in our lives; we just don't know what they will be. This is how we survive. We now even write about them, predict them, and warn about them. But they are unlimited in magnitude, and thus we cannot regress events to any mean.

Tricky, at least that what the Coronavirus tells me. Consider. This virus exploded upon the earth, claiming many lives and economic disaster.  It now seems to linger, just hanging about like some serpent waiting to strike.  Staying alert, we can control it a bit, but by nature modern humans are not alert. They take chances; they expect good outcomes; they feel mostly invulnerable. Moreover, staying alert would cause changes in all our lives we don’t want.

With no vaccine forthcoming and with the virus not mutating to a harmless relative, we may have trouble ahead.


Hopefully, this problem will be solved, but the next Black Swan is on the way, the nature of which we know not, from where we know not, and delivered how we know not.  It is coming. And though we are ready, our leaders need what they love to give the bankers, a stress test. Our leaders, however, are best suited to giving after dinner speeches while cruising the rubber chicken circuit.
* The Black Swan, Nassim Nicolas Talib, 2nd Ed, 2010.

Comments

Popular posts from this blog

Behavioral Science and Problem-Solving

I.                                       I.                 Introduction.                Concerning our general behavior, it’s high about time we all had some understanding of how we operate on ourselves, and it is just as important how we are operated on by others. This is the wheelhouse of behavioral sciences. It is a vast subject. It touches our lives constantly. It’s influence is pervasive and can be so subtle we never notice it. Behavioral sciences profoundly affect our ability and success at problem-solving, from the elementary level to highly complex wicked problems. This is discussed in Section IV. We begin with the basics of behavioral sciences, Section II, and then through the lens of multiple categories and examples, Section III. II.     ...

Where is AI (Artificial Intelligence) Going?

  How to view Artificial Intelligence (AI).  Imagine you go to the store to buy a TV, but all they have are 1950s models, black and white, circular screens, picture rolls, and picture imperfect, no remote. You’d say no thanks. Back in the day, they sold wildly. The TV was a must-have for everyone with $250 to spend* (about $3000 today). Compared to where AI is today, this is more or less where TVs were 70 years ago. In only a few decades AI will be advanced beyond comprehension, just like TVs today are from the 50s viewpoint. Just like we could not imagine where the video concept was going back then, we cannot really imagine where AI is going. Buckle up. But it will be spectacular.    *Back then minimum wage was $0.75/hr. Thus, a TV cost more than eight weeks' wages. ------------------------- 

Fake News

If you've been following the news the last couple of days, you will note the flurry of copy devoted to fake news.  Both sides are blaming whatever has befallen them the consequence of fake news.  Let's look at this phenomenon a bit.    When I was a student years ago, a friend climbed some mountain in Peru.   A article was written in the local newspaper about the event.   In only three column inches, the newspaper made about six errors.   An easy article to write you say?   Just interview and reproduce.   Yet so many errors?   The question is this: was this fake news or bad reporting?   The idea here is that fake news comes in various flavors. Bad reporting – errors made by the author or editor Opinion presented as news     Deliberate creation of falsehoods to favor a point of view       The reporting of selected truths to favor a particular point of view Now we have the big social media ...