The time I lost faith in Expected Value
It's a goofy thing to say but I lost some faith/respect in Expected Value after seeing the following problem. Not that EV or anyone cares what I think (but we feel what we feel).
Let's say you're at a Chinese restaurant with ten of your friends. All ten of you order different dishes. Fortunately the table has a Lazy Susan so you can easily share every dish! Let's say you spin the Lazy Susan randomly. Now with probability $1/10$ everyone will get the same dish they started with. Let the RV $X$ be the number of people who get the same dish after a random spin.
Now we have that $E[X] = \frac{1}{10}10 + \frac{9}{10}0 = 1$
I find this to be an interesting result. With every spin, we expect $1$ person to get the same dish. However, in reality either everyone gets the same dish or nobody does. I find this result somewhat misleading. In reality it will be all or nothing, each time.
I suppose you have the same problem with the lottery. If the prize is one trillion and the probability of winning is one in one trillion, then each time you play you have an EV of a dollar. However with odds like that don't expect to ever see money, and if you do you will see a lot of it.
There's also the famous St. Petersburg Paradox which shows how funny EV can be, although infinity can cause weird problems in general.
At the end of the day, perhaps we should not lose faith in EV, but take it with a grain of salt.
Articles
Personal notes I've written over the years.
- When does the Binomial become approximately Normal
- Gambler's ruin problem
- The t-distribution becomes Normal as n increases
- Marcus Aurelius on death
- Proof of the Central Limit Theorem
- Proof of the Strong Law of Large Numbers
- Deriving Multiple Linear Regression
- Safety stock formula derivation
- Derivation of the Normal Distribution
- Comparing means of Normal populations
- Concentrate like a Roman
- How to read a Regression summary in R
- Notes on Expected Value
- How to read an ANOVA summary in R
- The time I lost faith in Expected Value
- Notes on Weighted Linear Regression
- How information can update Conditional Probability
- Coupon collecting singeltons with equal probability
- Coupon collecting with n pulls and different probabilities
- Coupon collecting with different probabilities
- Coupon collecting with equal probability
- Adding Independent Normals Is Normal
- The value of fame during and after life
- Notes on the Beta Distribution
- Notes on the Gamma distribution
- Notes on Conditioning
- Notes on Independence
- A part of society
- Conditional Expectation and Prediction
- Notes on Covariance
- Deriving Simple Linear Regression
- Nature of the body
- Set Theory Basics
- Polynomial Regression
- The Negative Hyper Geometric RV
- Notes on the MVN
- Deriving the Cauchy density function
- Exponential and Geometric relationship
- Joint Distribution of Functions of RVs
- Order Statistics
- The Sample Mean and Sample Variance
- Probability that one RV is greater than another
- St Petersburg Paradox
- Drunk guy by a cliff
- The things that happen to us