My only words of wisdom would be to bring your A game everyday, watch your back and resist the temptation to sell your soul.
Drew and Manuel Torres are both moving back up the ladder to editing roles now known as managing producers in Newhouseville.
See y’all soon. 😉
As those of you reading certain of Slabbed’s recent DMR posts know, it seems as though all the dirty laundry is coming out. In fact it truly is all coming out.
With an eye towards the future I’ll disclose that for some reason I missed the fact that Mrs. Walker hails from the land of Dizzy Dean and it is entirely possible, in fact highly probable, that my peeps know her peeps. I mention this because of my prior experience interviewing spouses of convicted felons can not be gainsaid. I can supply references and I think they will all say that Handshoe was very fair.
For now let’s just put a circle around all this for later use.
I know some of you will find today’s question too elementary but for the other 99%, vital concepts are found via Wiki:
Applied usage in science, mathematics and statistics recognizes a lack of predictability when referring to randomness, but admits regularities in the occurrences of events whose outcomes are not certain. For example, when throwing two dice and counting the total, we can say that a sum of 7 will randomly occur twice as often as 4. This view, where randomness simply refers to situations where the certainty of the outcome is at issue, applies to concepts of chance, probability, and information entropy. In these situations, randomness implies a measure of uncertainty, and notions of haphazardness are irrelevant.
The fields of mathematics, probability, and statistics use formal definitions of randomness. In statistics, a random variable is an assignment of a numerical value to each possible outcome of an event space. This association facilitates the identification and the calculation of probabilities of the events. A random process is a sequence of random variables describing a process whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability distributions. These and other constructs are extremely useful in probability theory.
Randomness is often used in statistics to signify well-defined statistical properties. Monte Carlo methods, which rely on random input, are important techniques in science, as, for instance, in computational science.
The multidisciplinary implications are legion including in my considered opinion, the legal profession. Additional background can be found here.