That probability formula is too general. It can practically model everything. Yan is just hiding behind epsilon. It's like assigning a probability to the origin of the universe. You can just make shit up with a algebraic letter representing a probability.
To illustrate the absurdity of it consider this:
I have a theory for everything. I can predict future. The mathematical equation for that is simply (1 - EPSILON) where EPSILON is the probability of any event not happening. What about the probability of a event happening as a result of the first event? Well that's (1 - EPSILON)^2.
Since this model can model practically everything it just means everything diverges and everything fundamentally can't be controlled. It's basically just modelling entropy.
Really? No. He just tricked himself. The Key here is we need to understand WHAT EPSILON is. We don't, and Yan bringing this formula up ultimately says nothing about anything because it's too general.
Not to mention, Every token should have a different probability. You can't have the same epsilon for every token. You have zero knowledge of the probabilities of every single token therefore they cannot share the same variable, unless you KNOW for a fact the probabilities are the same.
To illustrate the absurdity of it consider this:
I have a theory for everything. I can predict future. The mathematical equation for that is simply (1 - EPSILON) where EPSILON is the probability of any event not happening. What about the probability of a event happening as a result of the first event? Well that's (1 - EPSILON)^2.
Since this model can model practically everything it just means everything diverges and everything fundamentally can't be controlled. It's basically just modelling entropy.
Really? No. He just tricked himself. The Key here is we need to understand WHAT EPSILON is. We don't, and Yan bringing this formula up ultimately says nothing about anything because it's too general.
Not to mention, Every token should have a different probability. You can't have the same epsilon for every token. You have zero knowledge of the probabilities of every single token therefore they cannot share the same variable, unless you KNOW for a fact the probabilities are the same.
It should be: P_n(Correct) = (1 - Epsilon_n)^n