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Sunday, October 16, 2016

Evolution's absurdity is revealed when you look at DNA

4-dimensional software code and operating systems do not arise by chaos.

by StFerdIII

 

Source

 

The human body contains 1 Trillion cells, 300.000 different proteins, some 2-10 million total proteins, billions of transactions a day, and replaces billions of cells each day. The human system is the most complex operating system and set of software applications in the universe. Nothing compares. In fact human-created operating systems such as Windows or Linux, are architectural backwards, or literally the opposite of our body's operating system. One would expect that better operating systems in the future, will use the genome as their template.

 

Imagine if someone, an evolution-true believer for example, stated that Amazon.com, the world's most comprehensive e-Commerce and software-as-a-service implementation, with millions of lines of code, built on 1000s of servers hosted in data centres across the world, with such complexity as load-balancing, caching, security and notifications, simply arose from a 2 page html web template, whose code 'mutated' into java, java script and html 5, all due to competitive advantage, striving and survival-of-the-fittest. This is stupid and you would not believe the person. Amazon is designed, built, maintained, monitored, enhanced and improved by human intelligence.

 

What then of your own body? Is it reasonable and scientific to believe that the human body, which is infinitely more complicated than Amazon.com, simply appeared due to random chance, chaos and mutations which only degrade software ?

 

The human DNA software operating system is 4-D. Would human 4-D software appear magically from single cell cyanobacteria 'evolving' into the screaming mad climate 'professor' ? This assertion is insane and probably at some level deeply psychopathic.

 

Human software contains instruction sets – just like a computer operating system. Genes or functions are turned on and off across the genome by 'transcription' or functional sets within the genome. These bind to the DNA around the genes and allows the functionality to be turned on or off. However, we don't know what instantiates the transcriptors. How would an operating set of instructions, which generates software or DNA action, arise by random chaos ?

 

Evolutionists have usually focused on trying to find patterns in this process, focusing on the DNA sequences and the binding with certain transcription factors. There is no set pattern however. DNA binding is quite tissue specific and highly regulated within the operating system. No one understands how the transcriptors interact with DNA or how they interact with different parts of the DNA structure.

 

Current research has added to the mystery by identifying 2 activities which influence how DNA is read by transcription factors: 1) the sequence of the DNA and 2) the shape of the DNA as it is being read. Since DNA is now thought to be 4-dimensional [not 3], this second factor is indeed a puzzle. But few ponder the reality of what they are investigating. How would a 4D encoded software system, 'evolve' by chance, from cyanobacteria to you ? Even cyanobacteria's genome is infinitely more complicated than previously hypothesized by Darwinists. Is it scientific and reasonable to adjure that operating systems arose from nothing, or dead matter, and then assumed a 4 D shape whose intricacy we do not understand ?

 

Stating the above as science, is more dogmatic than rational.

 

Zhou, T., et al. 2015. Quantitative modeling of transcription factor binding specificities using DNA shape. Proceedings of the National Academy of Sciences. 112 (15): 4654–4659.

Rohs, R., et al. 2009. The role of DNA shape in protein-DNA recognition. Nature. 461 (7268): 1248–1253.

Tomkins, J. 2014. Duons: Parallel Gene Code Defies EvolutionCreation Science Update. Posted on icr.org January 6, 2014, accessed April 14, 2015.

Tomkins, J. 2014. Dual-Gene Codes Defy Evolution...AgainCreation Science Update. Posted on icr.org September 12, 2014, accessed April 14, 2015.