In 1687, Isaac Newton explained that movement was caused by forces applied in a straight line. However, movement could not be calculated when influenced by other objects. Carl Friedrich Gauss discovered normal distribution - in normal conditions an ordinary event was more likely to occur than an extraordinary one. His results were explained with a Gaussian curve. The way an object's movement is affected by other objects it touches is known as chaos. There is a higher chance an object will follow the most probable path, but you can never calculate its exact path. In 1890 Henri Poincare reduced the number of uncertainties tied to random events. In the 1960's meteorologist Edward Lorenz mastered chaos with a model that combined statistics and probability. Many aspects of our world are impacted by chaos, but calculations can help reduce the uncertainty of these chaotic events.