# Do I Have To Know Card Game To Learn Probability ?

I (and many others) don't know anything about card games. Frankly, I am not interested in card games and I do not want to learn. However, almost all the examples given are related to card layouts, which both bother me and make it difficult for us to learn.

I just want to learn probability, I don't want to learn card games.

Why give so many card game examples in particular when there are a zillion other examples to give in the world?

Since you always explain the issue with card examples, I have a hard time understanding it. Could you please select examples directly from real world scenarios?

Please don't make your explanations in a way that people who don't know a particular game won't understand.

Please replace the card game examples with real world scenarios, please!

Hey Mehmet,

Thank you for your comment.

Please, refer to my answer to a similar feedback in the following thread:

https://365datascience.com/q/8fae706b98

Kind regards,

365 Hristina

I thought i was alone in this. Honestly, I don't know how many spades are there, or which is a diamond or which is black. I am almost lost in those examples.

my quick solution is that please indicate at the questions how many spades are there (if the question involves spades) etc

We don't need to know or play card games to understand about deck of cards. We just need to know how the deck of cards looks like. To learn probability in detail, deck of cards helps a lot. It is one of the easiest topic once we know how many cards are there and how they look like. We have to just perceive it like a normal coin example. We need to have an interest in a coin? No, we just need to know that there will be a head and a tail on a coin and we can understand out of 2 probabilities, with dice we can learn out of 6 or 36 and so on probabilities. Just the same way, with the help of the deck of cards, we can easily understand out of 52 probabilities. It is the most common way to understand probability as it involves different colors, shapes, numbers and faces and offers so much of scope to grasp probability concepts. Even text books use the same example. Just knowing about how they look like once helps you understand any kind of probability concepts. Even tough concepts can be easily understood by relating to and observing the deck of cards. Cards example is exactly like a coin example. You can imagine them as coins like 13 (1 for A, 11 for J, 12 for Q and 13 for K) red coins with heart shape and 13 (1 for A, 11 for J, 12 for Q and 13 for K) red coins with diamond shape, 13 (1 for A, 11 for J, 12 for Q and 13 for K) black coins with spade shape, 13 (1 for A, 11 for J, 12 for Q and 13 for K) black coins with clover shape ) if you don't like cards. Nothing will change. They are just cards. We are just using them for knowledge. As long as we are not using it for any bad purposes, it does no harm. Actually there is so much of scientific research on card games (like free cell, solaitaire etc etc) using computer science. The complexity involved in them is really fascinating for researchers and engineers and some are trying to use the concepts behind them for various engineering applications.