The following applet represents the research of Mitchell Feigenbaum. It is obvious that iterating quadratic function with numbers greater than 1 will approach either positive or negative infinity. Feigenbaum tried values between 0 and 1 to see how if they were predictable in the long run. For smaller values of k in f(x) = k*x(1-x), the values settled at one or a pattern of points. Beyond a certain point, however, they went into chaos, completely unpredicatble in the long run. Feigenbaum calculated a constant for determining the threshold of chaos in this function. The approximate value of Feigenbaum's constant is 4.66920106090 and represents the reciprocal of the scaling factor of the chart on the right. Using it, we can calculate the threshold for chaos to be about 2.545, the value for k at which the system would stop a predicable movement among points.