This discipline investigates the structure and origin of the information in the universe. As a result of lengthy research, the conclusion reached by information theoreticians is that information is distinct from matter. It can never be reduced to matter. The sources of information and matter must be investigated separately.
For example, a book consists of paper, ink and the information within it. However, ink and paper are material elements. Their origin again lies in matter: Paper is composed of cellulose, and ink from various chemicals and dyes.
The information in a book, however, is not material and cannot have any material origin. The source of the information in every book is the mind of the author who wrote it.
Furthermore, this author also determines how this paper and ink are to be used. A book first takes shape in its author’s mind. The writer constructs a pattern and sets out sentences. He gives these a material form—turning the words in his mind into letters by way of a typewriter or computer. These letters later go to the printer and are turned into that book consisting of paper and ink.
From this, we may draw the general conclusion that if something contains information, then it must have been set out by a mind possessed of information. First, that mind translated the information it possessed into matter, and thus produced a design.
In their DNA, living things possess exceedingly wide-ranging information. A literal data bank describes all the physical details of an organism’s body in a space just 1/100,000th of a meter in size. In addition, there is also a system that reads this information in the living body, analyzes it, and sets about production accordingly. The information in the DNA in all of a living thing’s cells is read by various enzymes, and proteins are produced in the light of that information. Millions of proteins are produced every second in line with your body’s requirements. Thanks to this system, dead blood cells are replaced with living ones.
All the scientific research conducted in the 20th century, the results of all the experiments and all the observations, revealed that the information in DNA cannot be reduced to matter alone, as materialists would have us believe. To put it another way, it definitively rejects the idea that DNA is merely a collection of organic compounds and that all the information it contains came about as the result of chance interactions.
Professor Werner Gitt, director of the German Federal Institute of Physics and Technology, says:
(Werner Gitt, In the Beginning Was Information, CLV, Bielefeld, Germany, p. 80)Professor Werner Gitt
Gitt’s words reflect the same conclusions arrived at from the Information Theory developed over the last 20 to 30 years and which is regarded as a component of thermodynamics. George C. Williams, one of the most prominent adherents of the theory of evolution alive today, accepts this fact, which most materialists and evolutions are reluctant to admit. Despite having vigorously espoused materialism for many years, Williams in a 1995 article stated the error of the materialist (reductionistic) approach that assumes that everything consists of matter alone:
(George C. Williams, The Third Culture: Beyond the Scientific Revolution, ed. John Brockman, New York: Simon & Schuster, 1995, p. 43)George C. Williams
Evolutionists occasionally admit their despair. One frankly spoken authority on this subject is the famous French zoologist Pierre Grassé, according to whom the most important fact to invalidate the Darwinist account is the information that constitutes life:
(Pierre P. Grassé, The Evolution of Living Organisms, 1977, p. 168.)Pierre P. Grassé
Contrary to Grassé’s statement that science can never resolve this problem, all the scientific research that has been carried out invalidates the hypotheses of materialist philosophy and clearly proves the existence of a Creator—in other words, of God.information theory and coding, information theory and coding notes, information theory and coding pdf, information theory and coding ppt, information theory entropy, information theory inference and learning algorithms, information theory pdf