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Ally

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A while I released this thread https://www.mc-market.org/threads/547746/ to survey users out of curiosity in response to https://www.mc-market.org/threads/547572/, and to eventually create a direct alternative to his proposal, to serve the same purpose with a fleshed out method.

This alternative has a better way to remain transparent in terms of its method while disguising biases, so people can be sure that it's fairly accurate and secure.

The method I proposed is a little bit abstract and complicated, but I was able to get a working implementation in C# alongside creating the method itself.

If you want to read, here you go: https://sevr.org/i/afc127e1-a6ff-4c82-a07a-5983987a200e.pdf.

If you want an open implementation of the method, feel free to make it yourself (credit me w/ my method - even after modification). I won't be releasing the raw results of the original survey itself so you won't be able to use that data. There are pitfalls, but everything is discussed in the document itself.

Enjoy.
 
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Ally

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Sparko

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If I'm understanding this right there's some sort of formula that values certain variables based on how the respondents of the survey ranked the trustworthiness of the sample of people?

If I got it right then I feel like this is a great idea, but there should be more sample users and more respondents to get something a lot more accurate.
 

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If I'm understanding this right there's some sort of formula that values certain variables based on how the respondents of the survey ranked the trustworthiness of the sample of people?
That's absolutely correct. The technique is explained there (so it's not a flat out formula but it is a process of determining the biases, which determine how important the values of each user are).

If I got it right then I feel like this is a great idea, but there should be more sample users and more respondents to get something a lot more accurate.
Absolutely, I agree. I think only 10 people's results were used in the survey I conducted. Given more responses, this could absolutely be refined - and factor inclusion/exclusion would also be good. 4.3 goes into a bit more detail about that.
 

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That's absolutely correct. The technique is explained there (so it's not a flat out formula but it is a process of determining the biases, which determine how important the values of each user are).


Absolutely, I agree. I think only 10 people's results were used in the survey I conducted. Given more responses, this could absolutely be refined - and factor inclusion/exclusion would also be good. 4.3 goes into a bit more detail about that.
You should post this as a suggestion! It would be great if MCM would hold an official survey of some sort with the sample people being semi-randomized (maybe some key/active members and some completely random ones).
 

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You should post this as a suggestion! It would be great if MCM would hold an official survey of some sort with the sample people being semi-randomized (maybe some key/active members and some completely random ones).
Tbh I don't think I will. I pmed it to mick (after asking him if he wanted to see it; which he said sure to) with no response back afterwards (with regard to it) so I don't know. Though if you want to make it, I'll happily agree. I just don't expect it to go very far :(.
 
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Sparko

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Tbh I don't think I will. I pmed it to mick (after asking him if he wanted to see it; which he said sure to) with no response back afterwards (with regard to it) so I don't know. Though if you want to make it, I'll happily agree. I just don't expect it to go very far :(.
Mick you should really consider her idea, it seems pretty solid.
 

pet

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Look kids, this is what happens when you listen in math class. Great work :tup:
 

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This is very fascinating! I especially admire when people are very good at things (in this case math) and I like looking at data/stats as well! The process is very solid honestly.

And ooo, high score :D
 

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Interesting. I'd appreciate it if this was in English tho. Instead of this..

XUGb5h.png

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make it known im farming funny's. Kappa
 
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