Until recently I was playing a Monk and Wiz. I played both of them on Act 3 and neither had any MF gear on. The monk actually had a higher MF becuase he was paragon 34 and using Templar added another 30 MF. My Wizard was only Paragon 17. During the entire time I played my monk I only got 7 legendaries. I got 2 Pus spitters, Ivory tower, Some 2 Handed Mighty Weapon, Hellrack, badly rolled int Manticore, and some BS plans. All of those sold for a total of 5 mil because only the manticore and plans actually sold the rest were brimstoned. On the other hand my Wizard with much less MF becuase of lower Paragon and also using 0 MF on her follower was finding 2-4 legendaries per day. Also her drops seemed to be better because I sold one legendary for 40 mil and another rare for 50 mil. This again is using the same MP level and also the exact same farming routes.
Is it being to paranoid to assume that characters can be flagged to get better loot? I just dont understand how a higher Paragon level and MF yields far less legendaries than a character with lesser Paragon and thus less MF. I mean at what point can you stop blaming RNG for your bad luck? I just dont get why I get far better drops on one character compared to a character with higher MF even when using the same farming routes on the same MP difficulty.
So If I played only 1 character for 6 months and got 0 legendaries and then played another charatcter for the same amount of time and got 100 you would still say RNG?
So If I played only 1 character for 6 months and got 0 legendaries and then played another charatcter for the same amount of time and got 100 you would still say RNG?
But your example above are not real. But goodluck trying it out.
There are two principal methods used to generate random numbers. One measures some physical phenomenon that is expected to be random and then compensates for possible biases in the measurement process. The other uses computational algorithms that can produce long sequences of apparently random results, which are in fact completely determined by a shorter initial value, known as a seed or key .
The latter type are often called pseudorandom number generators.
A "random number generator" based solely on deterministic computation cannot be regarded as a "true" random number generator, since its output is inherently predictable. How to distinguish a "true" random number from the output of a pseudo-random number generator is a very difficult problem. However, carefully chosen pseudo-random number generators can be used instead of true random numbers in many applications. Rigorous statistical analysis of the output is often needed to have confidence in the algorithm.
Not really. Humans evolved in small groups, dealing with small numbers and as social creatures, we also developed an enthusiasm for inferring causality that leaves us ill-equipped to grasp a lot of the counter-intuitive things that statistics tells us.
I'm not surprised that so many people have trouble grasping concepts like self-selection bias, negativity bias and the law of large numbers.
I'm also not suprised at how aggressively they cling to causal explanations when presented with evidence that their experiences aren't remotely as unlikely as they think, because in the end... derp.
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Is it being to paranoid to assume that characters can be flagged to get better loot? I just dont understand how a higher Paragon level and MF yields far less legendaries than a character with lesser Paragon and thus less MF. I mean at what point can you stop blaming RNG for your bad luck? I just dont get why I get far better drops on one character compared to a character with higher MF even when using the same farming routes on the same MP difficulty.
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Currently played toon: https://eu.battle.net/d3/en/profile/Rage-2973/hero/97362116
Currently played toon: https://eu.battle.net/d3/en/profile/Rage-2973/hero/97362116
The latter type are often called pseudorandom number generators.
A "random number generator" based solely on deterministic computation cannot be regarded as a "true" random number generator, since its output is inherently predictable. How to distinguish a "true" random number from the output of a pseudo-random number generator is a very difficult problem. However, carefully chosen pseudo-random number generators can be used instead of true random numbers in many applications. Rigorous statistical analysis of the output is often needed to have confidence in the algorithm.
Not really. Humans evolved in small groups, dealing with small numbers and as social creatures, we also developed an enthusiasm for inferring causality that leaves us ill-equipped to grasp a lot of the counter-intuitive things that statistics tells us.
I'm not surprised that so many people have trouble grasping concepts like self-selection bias, negativity bias and the law of large numbers.
I'm also not suprised at how aggressively they cling to causal explanations when presented with evidence that their experiences aren't remotely as unlikely as they think, because in the end... derp.