A good poker player would never just think to themselves “Oh, that big bet means she probably has the best hand”, or “Maybe he’ll fold if I make a big bluff”. Instead, they’ll carefully think through all the information they have, evaluate the strength of each piece of evidence, and then come to some kind of probabilistic estimation. “She would make such a big bet around 70-80% of the time she has a big hand.” or “I expect he’ll fold around 33% of the time if I bluff here”. 

Quantification – the act of trying to measure something with numbers – is an integral weapon in a poker player’s thinking arsenal. If cultivated well, it provides additional accuracy and granularity that benefits decision-making enormously. Our strength of belief about an idea, concept or future event can only lie somewhere on line between 0% and 100% (and, according to Bayes Theorem, it can never actually reach 0 or 100, only approach them), and so the more we can mentally zoom in on that number line about something’s likelihood, the more accurately our beliefs will mirror reality.

 

I borrowed this from here https://www.mathsisfun.com/data/probability.html

 

Even the fundamental nature of matter itself is an uncertain mess! Down on the microscopic, quantum scale, particles like electrons and protons etc appear to behave in clouds of probability (at least from an observer’s perspective). As Richard Feynman famously said:

“nature permits us to calculate only probabilities. Yet science has not collapsed”

In other words: the world, much like poker, is effectively governed by the laws of chance and statistics. Yet through scientific thinking, we can use these probabilities to make remarkably accurate predictions about how the world will work. So it’s vitally important we train ourselves to think probabilistically if we want to achieve the best results over the long run.

It’s also important to communicate probabilistically too. Check out the graph below – I asked my twitter followers what the first percentage that pops into their mind when told: “There’s a fair chance of rain tonight”. 

 

     Range of answers to “a fair chance of rain tonight” (300 respondents)

 

Apparently, it can mean absolutely anything from 18 – 90%, depending on who you ask.  Of course, context usually gives a bit more information than the question alone, but clearly these sort of phrases and words (known as words of estimative probability) are extremely subjective:

 

                Range of answers to other probabilistic phrases (300 respondents)

 

And this subjectivity can cause some serious blunders. According to some history texts, “a fair chance of success” were the exact words used by the Joint Chiefs of Staff to President Kennedy in 1961 when relaying their estimations of the success of a cuban invasion during the cold war.

Military experts had predicted the success rate of overthrowing Castro via a ground invasion to be around three to one against – in other words, only a 25% of a mission actually succeeding. But instead of just relaying that number to Kennedy, the JCOS reportedly told him there was “a fair chance of success”. His interpretation was likely something much more positive than 25%, because he decided to launch the infamous Bay of Pigs ground invasion soon after, and we all know how badly that turned out. Over 1000 troops got captured, Castro grew more even more powerful, and Cold War tensions got a whole lot worse. 

Was this miscommunication the deciding factor that launched that fateful mission? Unclear. But either way, if the highest level intelligence agencies have made that kind of mistake in the past (and it happened again with Bush and the WMDs, according to this), it makes you wonder how much our fuzzy language is messing up our daily decision-making and communication.

I expect I’ll finish my paper on time”, or “Yeah, I’ll probably be home for dinner” – words we use all the time that typically cause us a bunch of grief from mis-managed expectations of disgruntled relatives. Think of all the upsides if you instead throw a number on your estimate, instead of saying some vague fuzz of nothing:

  1. you’d have to actually think through the likelihood, and so get a better idea of whether your initial gut feeling about the thing you’re saying makes sense
  2. the other person can’t misinterpret your words
  3. you seem more conscientious
  4. the other person is more likely to appreciate that there’s statistical variance at play if the thing they want from you doesn’t turn out as planned

And of course, there are downsides too: 

  1. It could imply over-confidence in your estimation. If that’s a concern, by all means state a range of probability, say “I’m 50-80% to make it” – that’s still better information for them than leaving it undefined. If the other person continues to be unreasonable in their expectations, find more statistically literate friends.
  2. Often we say these fuzzy words to deliberately sow uncertainty and buy ourselves some wiggle room. I get ya – I’m a flake too. Just be aware when you’re doing it, as it can breed very bad thinking habits.  

 

Further reading: 

Quantum physics and uncertainty: https://www.theguardian.com/science/2013/nov/10/what-is-heisenbergs-uncertainty-principle and https://en.wikipedia.org/wiki/Uncertainty_principle

On words of estimative probability, Sherman Kent is pretty much the boss on this topic:

https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/sherman-kent-and-the-board-of-national-estimates-collected-essays/6words.html

https://sites.hks.harvard.edu/fs/rzeckhau/Estimative_Probability.pdf

 

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