add Random stat rolls to in game drops

[Angus]

All this talk of random stats reminds me of Aetherial gear (pink items). Maybe there's a way that could be added to existing gear.

[Vidu]

All this talk of random stats reminds me of Aetherial gear (pink items). Maybe there's a way that could be added to existing gear.

The question isnt if they can, but why should they?

Random stats are obviously possible, but there is probably a reason they stopped adding such gear, aside from a few special places. So, why should they bring it back if they obviously thought it was something to get rid of?

[Vanitas]

No thanks.
/10char

[MorbolvampireQueen6]

you ppl need 2 go play Diablo 2 so you'd know how great random stats are lol

[Roda]

you ppl need 2 go play Diablo 2 so you'd know how great random stats are lol

or you know, eureka.

[Valkyrie_Lenneth]

or you know, eureka.

Or they could just play diablo 2 to get their random Stat fix

[Alaray]

Or they could just play diablo 2 to get their random Stat fix

Nah you can play WoW, it's not like the community there's been complaining about random gear rolls for the last six or eight years.

I hear that game is boomin' right now.

[Roda]

Or they could just play diablo 2 to get their random Stat fix

it just dawned on me that they were not, in fact, being sarcastic, and instead are actually the OP.

my point still stands, RNG Bad.

EDIT: I also meant to say diadem??? whoopsie!

[Vidu]

you ppl need 2 go play Diablo 2 so you'd know how great random stats are lol

I'm currently playing Diablo II and the random stats are kinda annoying to me - or completly meanigless...

[Alucard135]

you ppl need 2 go play Diablo 2 so you'd know how great random stats are lol

A random variable, usually written X, is a variable whose possible values are numerical outcomes of a random phenomenon. There are two types of random variables, discrete and continuous.

A discrete random variable is one which may take on only a countable number of distinct values such as 0,1,2,3,4,........ Discrete random variables are usually (but not necessarily) counts. If a random variable can take only a finite number of distinct values, then it must be discrete. Examples of discrete random variables include the number of children in a family, the Friday night attendance at a cinema, the number of patients in a doctor's surgery, the number of defective light bulbs in a box of ten.
The probability distribution of a discrete random variable is a list of probabilities associated with each of its possible values. It is also sometimes called the probability function or the probability mass function.

Suppose a random variable X may take k different values, with the probability that X = xi defined to be P(X = xi) = pi. The probabilities pi must satisfy the following:

1: 0 < pi < 1 for each i
2: p1 + p2 + ... + pk = 1.

A continuous random variable is one which takes an infinite number of possible values. Continuous random variables are usually measurements. Examples include height, weight, the amount of sugar in an orange, the time required to run a mile.

A continuous random variable is not defined at specific values. Instead, it is defined over an interval of values, and is represented by the area under a curve (in advanced mathematics, this is known as an integral). The probability of observing any single value is equal to 0, since the number of values which may be assumed by the random variable is infinite.

Suppose a random variable X may take all values over an interval of real numbers. Then the probability that X is in the set of outcomes A, P(A), is defined to be the area above A and under a curve. The curve, which represents a function p(x), must satisfy the following:

1: The curve has no negative values (p(x) > 0 for all x)
2: The total area under the curve is equal to 1.
A curve meeting these requirements is known as a density curve.