6.b.2) Genetic problems
Despite other achievements, until now, the MCI of W has not been lowered enough.
Something else is definitely needed to diminish the correlations sufficiently. Finally, after studying different possibilities of changes in the model, I have decided to introduce what I denominate functional limitations due to various causes, especially in the mechanisms of the initial development of the intelligence.
To place them in some step of the whole process, after the Mendelian genetic combination and with the filter of genetic affinity, we can assume that some genetic problems may occur, diminishing the expected intelligence quotient (IQ) 30 points. I say 30 points because it is the amount that has given the optimization of this parameter using the sensitivity analysis within the statistical simulation model of the evolution of intelligence.
Logically, there must be previous limitations or genetic problems that they do not reproduce in the following generation; so it is necessary to include sudden increments in IQ of half of 30 with the same probability of occurrence. I say half because the effect on the final capacity would be conditioned by the capacity of the other gene, taking into account the presence of the GIV method.
By the way, these functional limitations or genetic problems were already predicted in the GTCEL evolution model about the nature of intelligence, although there was no special mention of them to simplify the presentation. However, they did appear, in all clarity, in the simulation of the evolution * incorporated in the Esnuka program (1992) following the General Theory of Conditional Evolution of Life (GTCEL) guidelines.
The evolutionary theory game Esnuka instructions say: "the black or white circle in the middle of the ball represents the number of fouls accumulated by the player. The genes are carriers of these fouls and, as such, can change through evolutionary processes. Furthermore, the number of fouls represents the probability of a genetic accident throughout these steps; an accident means the player is reduced to the lowest state within the scale."
In agreement with the nature of intelligence according the evolutionary theory game Esnuka and with the statistical analysis, these functional limitations or genetic problems will appear once every five times in the negative sense, and once every five times in the positive sense, but with half the intensity.
The explanation of the existence of these functional limitations or genetic problems can be diverse; the following are among the probable causes:
Not all intelligence functions are on the same chromosome or portion of DNA, following the Mendelian genetic combination. This causes additional discontinuities in the final determination of the intellectual ability.
There is the necessity of specific materials in initial development, for example, food craving during pregnancy. Everybody does not have same power to produce proteins; lacking some of them could cause the no-expression of the genetic information; again, this could provoke gaps regarding cognitive abilities transmission.
The conclusions of the study about discriminating pre- and postnatal factors, from the Medical School of the University of Pittsburgh would fit perfectly here. In my opinion, these factors are part of the structural development of intelligence and I would never classify them as environmental factors in a strict sense. In other words, the technology of materials is of genetic nature; another matter is the need for the necessary elements at every moment, and the lack of these elements will not usually be the case.
In the end, everybody needs to have his or her bag of tricks.
Being complementary with memory or other functions.
Genetic accidents in the broadest sense, including precautions anticipated for special cases with certain risk factors.
Environment. It should be assumed to have some influence, even if it is small!
From another point of view, it would be feasible to say that the effect of these genetic problems or functional limitations, up to a certain point, would be similar to that popular phrase the black sheep of the family.
The q060 graph shows the final result of the Global model, with the addition of the genetic problems and adjusted with the average of ten W variables; the accuracy of the adjustment can be observed both visually and by the level of the MCI of W (16.85) that has been reduced to levels of the global MCI (15.61)