As an Electrical Engineer, I am appalled at the intellectual slop that passes for science in biology.
Engineers would lose their jobs in droves if they tolerated the mushy thinking and lack of rigor that is routine in the life sciences. Before I elaborate on this, some background.
15 years ago I couldn’t have imagined I would become interested in DNA, biology, evolution or any such thing. Biology in high school was b-o-r-i-n-g. Chemistry in college was a hard slog.
I got my degree in Electrical Engineering. Specialized in communications and control systems. Graduated and developed analog circuits. Worked as an acoustical engineer. Designed the speakers in the 1994 Ford Probe, the 1995 Acura Vigor, the 1995 Jeep Cherokee and the 1996 Honda Civic.
Left acoustics & pursued digital communications. Sold embedded networking hardware, software and IC’s in the automation and robotics industry. Fought digital networking standards battles in manufacturing.
Wrote an Ethernet book, published by the world’s #1 technical society for process control engineers. And now here I am discussing DNA, evolution, and telling you about scientific discoveries so new, you can’t buy books about them in the bookstore.
I’m loving it. As an outsider to the “biology industry” I bring a very particular perspective: That of an engineer who’s performed digital network design (very exact), analog circuit design (a quasi-art form), and acoustics (extremely complex and messy).
All industries become incestuous as they age. They resist change. All professions are run by good ol’ boys clubs.
In every industry, innovations almost never come from the inside. Novel approaches usually come from outsiders. External innovations are opposed by the old guard because they threaten the status quo. Bill Gates was a complete outsider to the computer business. Larry and Sergey, founders of Google, were complete foreigners to the search engine game.
(Early on, they tried to sell their search technology to Yahoo for $1 million but Yahoo turned them down.)
Fred Smith, founder of Federal Express, was a complete virgin in the shipping industry. Ray Kroc of McDonalds wasn’t a restaurant veteran; he was a milkshake machine salesman.
All these people had an outsiders’ point of view that enabled them to see what insiders were blind to. Like these men, I am a total outsider in biology.
Yet despite the fact that I wouldn’t pass a test on retroviruses or organic chemistry, as an EE I see certain things with crystal clarity that biologists are blind to.
One reason is, in Electrical Engineering, theory matches reality better than it does in almost any other engineering discipline. Examples: In metallurgy, when you predict the failure load of a steel beam, you’re lucky if your guess is within 10%. In chemical engineering, a 5-10% error factor is considered good for many reactions.
Civil engineers over-design bridges by 50% to 100% just to be safe. But a model of an electrical circuit or computer chip is often accurate to within 1% and sometimes 0.01%.
Because you can’t see electricity and shouldn’t touch it, EE is abstract and very mathematical. It’s also rigorous. I can’t tell you how many times in my engineering classes, the professor would be explaining something like, say, the behavior of a semiconductor, and he would derive the calculus equation from scratch.
Of the appliances in your house, which ones work exactly the way they’re supposed to? Your car doesn’t. Your dishwasher doesn’t. Your refrigerator needs new parts every few years. The mechanical stuff is prone to problems.
But your TV does exactly what it’s supposed to, for years. So does your iPod and your Microwave oven and your clock radio and your cell phone. You can thank an EE for that. For this reason, EE’s have very high expectations of theoretical models… because the model has to be built and it has to work.
Engineers don’t have much tolerance for B.S.
Today: 7 Urban Legends Biologists Believe…. but an Engineer Would Never Tolerate:
1. “Random mutations are usually neutral or harmful but occasionally they confer a benefit to an organism. Natural Selection filters out the harmful mutations, causing species to evolve.”
This is the central dogma of neo-Darwinism and is allegedly accepted by “virtually all scientists.” You will find it in literally 1,000 textbooks and 10,000 websites. To the average biologist and to the average man on the street, it sounds perfectly plausible. And I fully understand why people believe this.
But I’m an EE. I know that the information in DNA is a signal. By definition, random mutations are noise. Telling a communications engineer that adding noise to a signal sometimes create new, useful data structures is like telling a nurse you can occasionally cure a common cold by swallowing rat poison. This is absurd!
You’ll be hard pressed to find any communications engineer who, upon examining this claim, would agree with it.
Have you ever had a data glitch on your computer that improved your files? Ever? There is not a one single principle or practice in engineering that would ever suggest that this is actually true.
All the Natural Selection in the world is powerless without a beneficial mutation. And you’ll never get a major benefit from accidental copying errors. The mutations that drive evolution are systematic and directed, not accidental.
2. “97% of your DNA is junk – an accumulation of evolutionary leftovers from random mutations over millions of years.”
The only reason anyone believes lie #2 is that they believe lie #1. Here’s how any rational person can quickly figure out that #2 is B.S.: Human DNA holds 750 megabytes of data, the same as a Compact Disc.
If 97% of your DNA is junk, that means the 3% that isn’t junk is 22 megabytes. In other words, they’re implying that the entire plan for a human body only takes up 22 megabytes of storage space. Heck, the “Windows” folder on my PC – the directory that contains most of the Operating System – is 27 gigabytes.
Does anyone actually think Microsoft Windows Vista is more sophisticated than the human body? Bill Gates sure doesn’t. The fact that a plan for an entire human body can even be contained on one CD is nothing short of a miracle of data compression.
Actual fact: DNA is not 3% efficient. It’s more like 1,000% efficient. The same gene can be used in completely different ways by a dozen different processes. The result is a level of data density that software engineers only dream of.
Engineers see profound elegance where biologists see junk. Which perspective is more in keeping with the aims of science?
3. “You only need 3 things for evolution to occur: heredity, variation and selection.”
Tufts university philosopher and prominent atheist Daniel Dennett famously said this. He would never say this if he had an engineering degree. If this were true, computer viruses (which have heredity, variation and selection) would mutate all by themselves and develop resistance to anti-virus software. They don’t.
If this were true, the pirated copy of a copy of a copy of a copy of Windows XP or The Eagles’ “Hotel California” that you can buy on the street corner for $2 in China would occasionally be superior to the original. It never is.
If this were true, Bill Gates wouldn’t have to employ 10,000 programmers in Redmond Washington. He would just buy truckloads of computers, add random errors to a billion copies of Windows and filter them through natural selection.
Nobody writes software that way. Nobody.
Have you ever wondered why?
Most biologists think evolution just happens automatically. They say all you need is time and a lot of raw materials and it will just happen. So why don’t computer programs ever evolve by themselves? They don’t and they never will – not unless they’re programmed to do so.
Evolution is not a given; in the real world it’s always a design feature. Software programmers will tell you that self-adaptive code is profoundly difficult to write.
Never happens by accident. This pronouncement by Daniel Dennett is Exhibit “A” of pseudoscience.
4. “Biology is nothing more than sophisticated physics and chemistry.” That’s like saying the Internet is nothing more than sophisticated copper wire and silicon chips.
I’m an e-commerce consultant. I practically live on the Internet. I have conversations with people about the Internet all the time. Nobody I talk to ever describes the Internet that way. Do you?
You talk about things like email and Google and Facebook. You tell your friend about the Youtube video where the guy goes to every country in the world and does his little dance jig. And the latest gaffe by Donald Trump.
All those things are information. 90% of Electrical Engineering is concerned with controlling and processing information. Only a small part of EE is concerned with things like motors and generators and watts and horsepower.
Even power equipment is controlled by information. All the interesting things you do with electricity involve signals or digital codes. Temperature measurement or text messages or a radio transmission.
The software is more interesting than the hardware. So it is with DNA. Chemicals are just the hardware.
Until the biology profession accepts that the real power in biology is in the information – the software and not the chemicals – it will continue to slam into brick walls and put forth evolutionary theories that make wrong predictions.
These assumptions continue to get nowhere in Origin of Life research. Information never improves by accident. Information evolves only through highly structured processes.
(By the way, Systems Biology bypasses old-school reductionism and is making great strides.)
5. “Genetic Algorithms Prove Darwinian Evolution.”
A Genetic Algorithm (GA) is a computer program that modifies code and then evaluates the code against some pre-programmed goal, keeping the winners and discarding the losers. GA’s refine software programs through an evolution-like process.
GA’s are not a be-all-end-all by any means, and they have limited application. But they are useful.
Some years ago Richard Dawkins wrote a software program that took the following garbage text:
WDLTMNLT DTJBKWIRZREZLMQCO P
After only 43 iterations, by deleting characters it didn’t want, the program reached its pre-programmed goal: METHINKS IT IS LIKE A WEASEL
Traditional Darwinian evolution by definition has no goals, just blind natural selection. Dawkins’ program has a definite goal and is programmed to reach it.
This program has nothing to do with formal Darwinian evolution. It’s intelligent evolution.
Every single Genetic Algorithm I’ve ever seen, no matter how simple or complicated, only works if it has pre-programmed goals.
Which requires both a program and objectives. I’ve never seen a GA that actually mirrored Darwinian Evolution. They always sneak in some element of design. Which only adds to the reasons why the Neo-Darwinian theory of purposeless random events is wrong.
Real world evolution is pre-programmed and has goals of some sort pre-loaded. I’ve never seen an exception. This is no different than computer programs that evolve.
6. “The human eye is a pathetic design. It’s got a big blind spot and the ‘wires’ are installed backwards.”
There are many, many variations on this argument. It’s just another version of “Junk DNA.”
When I was a manufacturing production manager, I had to produce an indicator lamp assembly for a piece of equipment. The design had a light bulb and 2 identical resistors, which I thought were stupid. I suggested that we replace the 2 resistors with one resistor of twice the value. This would save money and space.
I told the customer the design was obviously lousy. The engineer got angry and almost took his business elsewhere. Then my boss spent 30 minutes lecturing me. He reminded me that my job was to put the customers’ product into production, not insult him with my warped critique of his design skills.
What I didn’t know was that 600 volts would arc across one resistor, but not across two. A second, “redundant” resistor was an elegant way to solve that problem and it only cost 2 cents.
I learned the hard way that when you criticize a design, you may have a very incomplete picture of the many constraints the designer has to work within.
Designs always have delicate tradeoffs. Some have amazing performance but are extremely difficult to manufacture. Sometimes a minor change in material would make a huge improvement but the material is unavailable. Sometimes you have to make a compromise between 15 competing priorities.
Sometimes people have no appreciation for how difficult that maze is to navigate. I am not saying that there are no sub-optimal designs in biology – I’m sure there are lots of sub-optimal designs. Furthermore I do believe that life followed an evolutionary process and many designs are “best guesses” engineered by the organism’s ancestors.
But human beings must be very careful to not proudly assert that we could ‘obviously do better.’ We don’t know that. We do not understand what’s involved in designing an eye because we’ve never built one.
My friend, if you lose your eye, there’s not a single arrogant scientist in the world who can build you a new one. Especially not the scientists who try to tell you why the design of the eye is “pathetic.”
If I were selecting an eye surgeon, I’d look for one who has deep respect for the eye, not disdain for it. How about you? Every engineer knows that you never truly know how something works until you can build it. Merely taking it apart is not enough. Until we can DESIGN eyes for ourselves, we must be very cautious about what we say. The scientist must ALWAYS be humble in the face of nature and you should be wary of anyone who is not.
7. “There is no such thing as purpose in nature. There is only the appearance of purpose.” “Teleology” is a scientific term which is defined as ‘purpose in nature.’ Atheism denies teleology in the universe. For this reason some biologists have forbidden their students to use purposeful language. In 1974 Ernst Mayr illustrated it like this:
1. “The Wood Thrush migrates in the fall in order to escape the inclemency of the weather and the food shortages of the northern climates.”
2. “The Wood Thrush migrates in the fall and thereby escapes the inclemency of the weather and the food shortages of the northern climates.”
Statement #1 is purposeful, statement #2 is not. Mayr does fancy footwork in order to avoid reference to design in biology. (It also converts all of his writing to colorless passive sentences. Any good writer will tell you passive language is a sign of mushy thinking.)
The famous biologist JBS Haldane joked, “Teleology is like a mistress to a biologist: he cannot live without her but he’s unwilling to be seen with her in public.”
Everything in biology is purposeful. Which is precisely why biology is fundamentally different than chemistry.
Chemicals have no purpose. Organisms do. You cannot formulate a coherent description of life if you deny purpose.
For proof of this, look no further than the genetic code. Every codon in DNA maps to an amino acid that it is SUPPOSED TO make – but an error is possible.
It is not possible to even talk about any code at all without acknowledging purpose. Purpose is implicit in every strand of DNA in every organism in the world.
In his book “Perceptual Control Theory,” William Powers explains that the study of any goal-directed (control feedback) system is fundamentally different than the study of rocks or chemicals or magnetic fields or anything purely physical. The failure to acknowledge this has wreaked all kinds of havoc in science for 150 years.
Even something as simple as a thermostat cannot be understood if you see it as only an assembly of molecules.
A thermostat is programmed to hold your room at a certain temperature. The thermostat’s purpose can only be understood from a top-down point of view. It has a goal.
In Electrical Engineering, the top-down nature of information is described by something we call the OSI “7 Layer Model.”
Simplified explanation: The 7 Layer model says that in your computer, there’s an Ethernet cable that connects you to the Internet. The copper wire and the voltage on that wire is Layer 1 – the “physical layer.”
Layer 2 is is the 1’s and 0’s that voltage represents. Layers 3, 4, 5 and 6 are the operating system and layer 7 is your spreadsheet or email program or web browser, the “application layer.”
When you send me an email, information is encoded from the top down and sent through your Ethernet cable. When I receive your email, information is decoded from the bottom up starting with the signal on the cable, and I read your email on my screen.
ALL information is organized this way – in a top-down hierarchy. The wire has its purpose. The 1’s and 0’s have their purpose. The operating system has a purpose, my email program has a purpose and your message has a purpose.
You cannot deny purpose in computers or biology without immediately contradicting yourself 2 minutes later. Even a person who denies purpose is purposefully denying it.
Everything I just told you, I absolutely know to be true as a result of my education and experience as an engineer.
Darwinism as we know it CANNOT stand under the weight of 21st century DNA research. It’s impossible. Because I’ve read the literature. Amazon is absolutely littered with books written from every imaginable point of view, both religious and non-religious, pointing to the creaking, groaning edifice of Neo-Darwinism.
It is inevitable that it will fall. And it’s not going to be long. It will be replaced by an algorithmic model of Evolution.
BOLD HYPOTHESIS: When Biologists accept what Electrical Engineers know about information, a whole bunch of problems in biology will be solved:
1. The random mutation theory will be discarded. It will be replaced with Transposition, Natural Genetic Engineering, Horizontal Gene Transfer and Genome Doubling. Suddenly evolution will make sense because it is understood as an engineered process not random accident.
2. We’ll discover that what was originally thought to be junk DNA is actually the heart of the most sophisticated database format ever devised.
3a. Evolution will not be taken for granted but deeply appreciated as an utterly ingenious mechanism, pre-programmed into living things. As software engineers replicate the evolutionary algorithm in computer programs, we’ll achieve huge breakthroughs in Artificial Intelligence.
3b: Evolution is orchestrated at a very high level within the organism. It is controlled by a mechanism that is currently poorly understood. This mechanism is beautifully efficient, elegant, fractal, and follows a very exact mathematical protocol. Bioninformatics will become the most rigorous discipline in engineering. The ‘code’ of this protocol will be cracked because of the Human Genome Project and the public availability of DNA sequences. This discovery will lay the foundation of an entire new branch of Computer Science in the 21st century.
4. The “Physics and Chemistry” paradigm of biology will be replaced with a “Bioinformatics” paradigm. Evolution and the origin of life theories will make much more successful predictions.
5. Neo-Darwinism will be discarded because biologists will recognize that biological evolution is just like Genetic Algorithms: It employs pre-programmed goals and educated guesses, not random chance.
6. Rather than assuming designs in biology are “pathetic” or “stupid” we’ll discover deeper reasons for why organisms are the way they are. And greater insights into the subtlety of living things.
7. Everything in biology makes sense once you understand that every single one of the 5 million trillion trillion cells on earth is purposeful and intentional and the original cells were designed to evolve and adapt.
Finally I would like to suggest that there is nothing in the world that can teach us more about digital communications and software programming than DNA.
DNA is an absolute gold mine, a treasure trove of insights of data storage, error correction, software architecture, robust design and fractal data compression.
Every Electrical Engineer and Computer Science major should study it intensively. And there is much we engineers can learn from the biologists – because even the simplest living thing is more elegant than the greatest man-made supercomputer.
As Engineers and Biologists begin to talk to each other, the 21st century will be amazing indeed.
P.S.: Innovations almost always come from outsiders. This means that those who read widely and embrace multiple disciplines – pockets of humanity that don’t normally talk to each other – can enjoy long and prosperous careers as innovators. The watchword of 21st century biology will be “Interdisciplinary” – the great mysteries will be solved by people who bring the expertise of other fields to bear on the biggest questions in science.
My challenge to you: Make a deliberate decision to step outside of your normal and familiar environment and innovate. The world will reward you for it.Download The First 3 Chapters of Evolution 2.0 For Free, Here – https://evo2.org/evolution/
Where Did Life And The Genetic Code Come From? Can The Answer Build Superior AI? The #1 Mystery In Science Now Has A $10 Million Prize. Learn More About It, Here – https://www.herox.com/evolution2.0