Dark Matter eLiquid

Enjoy the wonderful flavor of our latest VapeSafe eLiquid - Dark Matter.

Dark Matter tastes like German chocolate cake. For those of you who have not had the fortunate to try a piece German chocolate cake recently, this is a great way to experience the flavor without getting any of the calories. German chocolate cake is a layered cake filled and topped with a coconut-pecan frosting. Traditionally sweet baking chocolate is used for the chocolate flavor in the actual cake. The robust filling and topping is a caramel made with egg yolks and evaporated milk. Once the caramel is cooked, coconut and pecans are stirred into the mixture. Finally, rich chocolate frosting is spread around the sides of the cake to hold in the filling.

Dark Matter eLiquid by VapeSafe captures the essence of German chocolate cake. Dark Matter eLiquid delivers plumes of vapor and rich chocolatey flavor that you'll want to enjoy again and again. Try Dark Matter today!


Technology Information:


Probability distribution

In probability theory and statistics, a probability distribution identifies either the probability of each value of a random variable (when the variable is discrete), or the probability of the value falling within a particular interval (when the variable is continuous). The probability distribution describes the range of possible values that a random variable can attain and the probability that the value of the random variable is within any (measurable) subset of that range.

The Normal distribution, often called the "bell curve".
When the random variable takes values in the set of real numbers, the probability distribution is completely described by the cumulative distribution function, whose value at each real x is the probability that the random variable is smaller than or equal to x.

The concept of the probability distribution and the random variables which they describe underlies the mathematical discipline of probability theory, and the science of statistics. There is spread or variability in almost any value that can be measured in a population (e.g. height of people, durability of a metal, sales growth, traffic flow, etc.); almost all measurements are made with some intrinsic error; in physics many processes are described probabilistically, from the kinetic properties of gases to the quantum mechanical description of fundamental particles. For these and many other reasons, simple numbers are often inadequate for describing a quantity, while probability distributions are often more appropriate.

There are various probability distributions that show up in various different applications. One of the more important ones is the normal distribution, which is also known as the Gaussian distribution or the bell curve and approximates many different naturally occurring distributions. The toss of a fair coin yields another familiar distribution, where the possible values are heads or tails, each with probability 1/2.

Suggested Products