Welcome to the home of The Question Evolution Project. Presenting information demonstrating that there is no truth in minerals-to-man evolution, and presenting evidence for special creation. —Established by Cowboy Bob Sorensen

Thursday, April 18, 2019

Engineered Adaptability and Populations

Further development of the continuous environmental tracking (CET) model by the Institute for Creation Research has previously examined how organisms are designed to respond to environmental changes. This is the opposite of Charles Darwin's view and that of his followers. What about adaptation by populations?

Organisms were designed to adapt according to the CET model, which is the opposite of Darwin's view. Engineered adaptability applies to populations as well as individuals.
Credit: Unsplash / Chad Kirchoff
This model takes an engineering perspective; the Master Engineer designed both individuals and populations to work together in order to solve problems. Since they are designed to adapt, there is no randomness involved. Organisms have adapted rapidly, rocking evolutionists back on their heels with exclamations of "faster than we expected". After all, their paradigm requires long ages and slow processes.
At the population level, natural selection envisions these organisms locked in mortal competition with each other, with a few individuals emerging victorious at the expense of the rest of the population. They pass on their genes while the “weaker” genes are eliminated. Evolutionary scientists imagine that the survivors were lucky enough to be endowed with superior genes through random mutations.

In stark contrast, an engineering-based model would suggest that both the individual and the population are vitally important. Thus, in order to arrive at optimal solutions to environmental challenges, individuals and populations work together in a targeted, non-random approach to problem solving. Such a model has the potential to liberate biologists from the selectionist mindset. What characterizes this mindset?
To read the entire article, click on "Engineered Adaptability: New Distributed Problem-Solving Model for Population Adaptation".