Motivation
I keep seeing lots of incorrect statements about the chances of rolling up your weapon on the new upgrade table. Given a success rate of 5%, quite a few people have said that ten rolls will give you 100% chance. Of course that's not at all how probability works. But the actual numbers may be surprising.
We know that when we roll a die we have a 1 in 6 chance of getting a 5. Rolling it six times in no way guarantees we get a 5. In fact, you could roll that die 100 times and not get the 5 you want. People are sinking all sorts of arkforge into weapons this way.
I want to help people save cash, so I thought I would calculate the odds correctly. And furthermore, I will figure out which of the payment options is the best. This will depend on how risk averse you are. Or how lucky you feel. But at least you will be armed with facts.
This post will explain the mathematics. I will present the resulting tables and conclusions in follow-up posts.
The simple stuff
A probability is given in percent but we need to express it as a decimal to perform any calculations. For any single event, the chance of success plus the chance of failure will always add to 1. So, if our success rate is .05, our failure rate is 1-.05 = .95. This is simple enough, but key to everything that follows.
What we want to know is the cumulative chance, after a certain number of rolls, of getting to a total chance. For example, say you are happy having a 50-50 chance of upgrading your gun. This is the same as a cumulative total of .5. How many times would you need to spend 100 arkforge at 5% success rate to reach this? How much will you spend in total?
Trion has given us all sorts of options. We can try our luck at 5%, or 10%, or 15%, etc., all the way up in 5% increments. Or we can slap down 3200 arkforge and have 100% chance. Which makes the most sense?
I'll give two explanations of how the odds are calculated.
Explanation 1
Consider what the cumulative chance of success is after the first few rounds.
After one round our probability of success is .05. If we succeed, we stop rolling, because there is no reason to continue. We won! Thus, the chance of success after one round is .05 or 5%.
Consider the more likely outcome. Our chance of failing round one is .95. In this case, we try again. On round two, our chance of success is .05, so the cumulative chance to get here is .95 * .05. This is the important bit. We had to have first failed and then succeeded. We need to multiply together the two probabilities.
The result is 0.0475, which is our chance of success in the second round. Add this to the round one total, to get a running total. Chance of success after two rounds is .05 + 0.0475 = 0.0975 = 9.75%. Our chance has almost, but not quite doubled.
For round three, we must have failed twice before (in rounds one and two). Our cumulative chance of success is .95 * .95 * .05 = 0.045125. The incremental chance is smaller than before. We add this to the previous result, to get the running total. Chance of success after three rounds is 0.0975 + 0.045125 = 0.142625 = 14.26%.
The pattern should now be obvious, and we can write it up in code.
Explanation 2
Consider what the cumulative chance of success is at a given round, say round five. The chance of success is 1 minus the chance for failure (as always). So, let's calculate the chance for failure, since it works out to be simpler.
We fail on round five if all five rolls fail. So that's a probability of .95 for the first roll, .95 for the second roll, same for the third, fourth, and fifth. We multiply all these together to get the result. That's .95 times itself 5 times, otherwise known as .95 to the power 5.
The chance to succeed is therefore given by: 1 - (.95^5)
It's a wrap
Both these methods will return the same results. They are simply two ways of looking at the binomial distribution.


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