Over time, every way of thinking generates important problems that it cannot solve. - Russell L. Ackoff

Data is raw. It simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself. In computer parlance, a spreadsheet generally starts out by holding data.

The effectiveness of any model used to describe and understand behavior of a particular system as a whole ultimately depends on the degree to which that model accurately represents that system. Nevertheless, there have been and are situations in which application of deterministic or animate models to social systems have produced useful results for a short period of time. However, in a longer run, such mismatches usually result in less than desirable results because critical aspects of the social systems were omitted in the less complex model that was used.

The Machine Age’s commitment to cause and effect was the source of many dilemmas, including the one involving free will. At the turn of the century the American philosopher E.A. Singer, Jr., showed that science had, in effect, been cheating. It was using two different relationships but calling both cause and effect. He pointed out, for example, that acorns do not cause oaks because they are not sufficient, even though they are necessary, for oaks. An acorn thrown into the ocean, or planted in the desert or an Arctic ice cap does not yield an oak. To call the relationship between an acorn and an oak ‘probabilistic’ or ‘non deterministic causality,’ as many scientists did, was cheating because it is not possible to have a probability other than 1.0 associated with a cause; a cause completely determines its effect. Therefore, Singer chose to call this relationship ‘producer-product’ and to differentiate it from cause-effect.