Lets say I have a series of 100 digits forming a number. 15 of those digits are always the same at the same place, 85 of those digits are randomly 1 to 5. I generate 10000 numbers this way. What would be the average lowest uniqueness of a random number compared to each other number where you start at 100% uniqueness and go -1% for each number that is the same on the same place.
additional info with what I mean by average lowest uniqueness
By lowest average uniqueness I mean, what would be the average uniqueness of all numbers compared to the one they have the most in common with. Kinda hard to explain example I generate 10.000 numbers with way, what would their average uniqueness be of those 10.000 numbers compared to the one they have to most in common with. So I take one number 1, find out it has the most in common with with number 7, being X% unique, now I do this for all numbers and then make an average of all those x% unique I get
Real life application
The real life application and reason why I ask is this. I write a 100 word text, and for each word I can find synonyms for I give them. for example : This is a {very,extremely} {difficult,complicated,hard} {question,equation}. Now when I generate 10000 texts based on this (with software) where it will each time take one of the options between brackets and put them online. Now google will try to see how unique my text is based on all the text that is online. I want for example to have my text be at least 60% unique compared to any text found online (only my text will really be a factor in this, seeing as I'm writing a 100 word text) I want to get an idea how many synonyms and text length I need to aim for given I want at least 60% uniqueness and I want to generate 5000, 10000 or even 20000 text. If I can get an idea how its calculated or what the value is for my example I can about guess how long and how many synonyms ill have to aim for in case I need 1000 5000 or even 20000 text generated.