From a mathematical point of view, a model describing an activity is either ergodic or isn't.
In real life, instead, it makes sense to describe ergodicity as a non-binary property.
Here is why.
Thread, 1/9
2/ Take two non-ergodic activities: crossing the street and skydiving.
For both, the outcome of performing them an infinite number of times is death.
However, it is intuitive to most that crossing the street is on a different risk category.
How to express this mathematically?
3/ People don't care about infinite time frames. They have limited life expectancy.
They do not care about the question, "does crossing the street have a chance to kill me?"
They care about, "does crossing the street have a meaningful chance to kill me within my lifetime?"
4/ Hence, for most people, the common question to determine whether an activity is ergodic ("does the time average correspond to the ensemble average?") has only meaning over time frames comparable to their life expectancy.
(or, their family's / company's life expectancy)
5/ On infinite time frames any activity has either a 0% or 100% chance of hitting an absorbing barrier. It makes sense to think of ergodicity as a binary property
On medium-term time frames, most activities have non-0 non-100 chance. It makes to think of ergodicity as non-binary
6/ Why does it matter?
It matters because if ergodicity is non-binary, then we can use expressions such as "increase the ergodicity of an activity."
These expressions are useful for they focus us on practical solutions that can make us better off.
7/ As an example of the danger of binary thinking, take face masks.
Do they work 100%? No.
That means that we shouldn't use them if we use binary thinking (dangerous). Instead, using non-binary thinking, we can adopt practical solutions such as "better with than without".
8/ Hence the importance of non-binary considerations. This thread gave a justification to use ergodicity as a non-binary property in practical scenarios.
9/ I discuss this topic in larger details in my book, "Ergodicity: Definition, Examples, And Implications, As Simple As Possible"
My cousin was born in a mountain village in the French Alps. Like many there, he learned to ski before reading.
I am a good skier, but I remember the humiliation when I was 14 and he was 6, seeing him surpass me, swift as a bullet.
2/ At a young age, he made it into the World Championships for his age bracket. Boy, he was fast.
His career came to an abrupt end a decade later, one injury at a time. First, he injured his ankle. Then, he broke his knee. A few more injuries later, he retired, too young.
3/ From him, I learned that the skiers that you see on TV, the fastest racers in the world, didn’t get there because they were the fastest.
They got there because they were the fastest of those who didn’t get injured into retirement.
Why should companies care about laws if, when the way they conducted their core activity is found fraudulent, the fine is just 0.5% of their market cap?
(or ~8% of their revenues, annualized using Q2/20 as a basis)
During ⚡️ usage peaks, "the folks running the electricity grid would rather pay people to use less electricity rather than pay a power plant to turn on."
So this startup pays households to shut down their appliances during peak usage.
As for many employees this is year-end evaluation period, a reminder:
This is the moment to make a motivated ask for whatever you might need (money, time, training, trust, better projects, a career move, etc.)
FAQs below
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2/ Q: Even if my boss doesn’t ask?
Yes. Some are jerks, some are parsimonious, but many want to allocate limited resources such as promotions to those who are motivated enough to ask (tip: they often use willingness to ask as a proxy to “ability to get results”).
Ask.
3/ Q: How should I ask?
Make sure you cover:
– What you will do with it (yes, even if it’s personal)
– Why should your boss believe you (i.e., past examples of good things you did for the company)