In eukaryotic organisms and especially humans, large amounts of the DNA are transcribed into RNAs that never end up getting translated into proteins. This has led some to argue human DNA is mostly junk. I speculate otherwise. The supposed junk DNA that transcribes to supposed junk RNA is not junk at all. I recently discovered that RNA is an excellent chemical basis for molecular level sensing, logic, computation and communication. Because of these facts I speculate RNAs are important in navigation, organization, computation and processing of information in the eukaryotic cell. I contrast my view with that Darwinist Steve Matheson who debated Stephen Meyer regarding claims in Meyer’s book, Signature in the Cell. Matheson had a dismissive view of DNAs Read More ›

As regular readers of this blog know, evolutionists use the label “creationist” not just for those with a particular interpretation of Genesis. That is their term for anyone who doesn’t accept the fact of evolution. It doesn’t matter what you particular position is, you’re a creationist, period. So it was no surprise that Britain’s new ban on “creationism” is actually a ban on “any doctrine or theory which holds that natural biological processes cannot account for the history, diversity, and complexity of life on earth.”  Read more

Courtesy Wikipedia’s entry on steganography, this photo has an encrypted photo within it: The hidden image is revealed by removing all but the two least significant bits of each color component and a subsequent normalization. The hidden image is shown below. Steganography Finally, we come to the research theme that I find most intriguing. Steganography, if you look in the dictionary, is an archaism that was subsequently replaced by the term “cryptography.” Steganography literally means “covered writing.” With the rise of digital computing, however, the term has taken on a new life. Steganography belongs to the field of digital data embedding technologies (DDET), which also include information hiding, steganalysis, watermarking, embedded data extraction, and digital data forensics. Steganography seeks efficient Read More ›

Don’t miss the Evolution of Innovation conference at Cambridge this week where it will be explained that the recent move in computer science to Big Data is, in fact, exemplary of evolution. This is yet another example of how evolutionists cast their theory in terms of contemporary technology. As we havediscussed before, when the leading edge in biology was breeding, evolution was cast as a natural breeder. When computers became increasingly connected via networks, and artificial intelligence was thought to be on the horizon, evolution was said to use  “networks.” and “molecular intelligence.” When the state of the art was genetic engineering, evolution is cast as a natural genetic engineer and “Biotechnology” was claimed as an evolutionary mechanism.  Read more

It seems that self-aware mindedness is now on the table for discussion. In that context, I see that Reciprocating Bill is arguing: Given the fact that you entertain the notion that brains aren’t necessary for dreaming, why can’t that which dreams without a brain be a rock? This is a carry over from a discussion where I have pointed out: And also how a neural network is an example of how refined rock organised into a GIGO-limited computational unit still has not broken through from mechanical cause effect computation — which a raw rock obviously cannot do — to self-aware insightful reasoning contemplation: . . . in the brain:   That is, just as for a Thomson Mechanical Integrator: . Read More ›

Dan Graur and Larry Moran argue that most of the human genome of 3.2 giga base pairs is junk. I will appeal to engineering intuition and say these guys are awfully premature in their pronouncements since their estimates would imply that a mere 80 megabytes would be enough specify not only an adult human but all the developmental forms that have to be implemented along the way from conception to adulthood. Where did I get the 80 megabyte number? The human genome is about 3.2 giga base pairs. Evolutionnews reports Graur is arguing 5% to 15% of the human genome is functional. For simplicity I’ll suggest the mid range figure from Graur as 10%. That means then 3.2 billion * Read More ›