Level-Three Predictions

This is the fourth in our series of posts about types of predictions. God hates lies. Lies are an abomination to God. Lies oppose God. Sometimes, ungodly thinkers commit fallacies of prediction to oppose God. This quote explains one level of prediction. Some levels of prediction are helpful. Others are deceptive. Speaking about predictions without pointing out the difference between various levels of prediction is deceptive. It’s an equivocation fallacy and a package deal fallacy. You can look those up in The Encyclopedia of Logical Fallacies free for download from RealReality.org. Some of the lies surrounding evolutionism are complex. People repeat them and think they’re true without ever thinking seriously about them. They throw critical thinking out the window.

<quote from Real Faith & Reason, vol 2>

Level-3 Predictions:

Level-three predictions are practical applications using a theory to predict. Predictions don’t come from the theory directly, but we receive the predictions. They can come from divine revelation. God can’t lie. He tells us the truth. Predictions can come from the deceitful and wicked human mind, or demonic entities that lie and destroy. If we seek Christ, we’ll find Him. He’ll give us discernment if we persist. We can ask Him any question. As we mature spiritually, our discernment also improves.

Examples:

Scientists design theories based on observations. So, the theories fit the observations but go beyond observation. Where did these scientists get information beyond what anyone has seen or experienced? God may have given Albert Einstein divine revelation when working on the Quantum Theory. He was a man who confessed that he wanted to know God’s mind. We can’t know the Quantum Theory is true. We can’t be certain, but we can use Quantum Theory to predict.

Sandy Sandbuilder: The development of advanced microchips uses the predictions of Quantum Theory. You deny the computer and your cell phone if you say theories don’t lead to knowledge.

Rocky Rockbuilder: God may give a man like Einstein an insight into something like Quantum Mechanics, and this insight can lead to a theory. The theory may contain some truth and some fiction in it, but it works. It can change if something it predicts doesn’t work. However, you’re trying to make Quantum Mechanics something it isn’t. Cell phone and computer manufacturers don’t just build a production facility based on the theory. They try many ideas in the lab before putting those ideas into production. If it were as predictable as you claim, scientists wouldn’t have tested or tinkered to get these to work. They would have just built the most advanced cell phone possible the first time. And there would have been no risk or chance of losing money on a failed idea.

Those who build on sand confuse the issue. Bringing up Quantum Theory confuses issues even better than bringing up theories about the Second Law of Thermodynamics. So let’s clear the fog. Quantum Theory didn’t cause knowledge to pop into existence. If the theory contains truth, that truth came from Jesus Christ.

John Matson wrote an article titled What is Quantum Mechanics Good for? and published in Scientific American. In that article, he said the following:

 Without quantum mechanics, there would be no transistor, and hence no personal computer; no laser, and hence no Blu-ray players.

Matson used the term “quantum mechanics” rather than saying “the Quantum Theory.” The observations of quantum mechanics and the theories about the observations are two very different things.

Whatever is happening in what we call “quantum mechanics” is what makes these inventions work, but it doesn’t answer this question. Did the inventors make technology by following the predictions of quantum mechanics, or did the technology come about by some other means? That’s a hard question to answer, but it misses the point anyway. Here’s the point. We might predict something. That’s not the same as knowing the truth. We haven’t proved the cause. We have a working model. We have a way of thinking about it. We can use that working model to help us find solutions. We know our model works. We don’t know our model is real. It’s practical. It’s pragmatic. And any truth that may exist in Quantum Theory came from Jesus Christ whether ungodly thinkers want to give Him the glory or not. If we can use a framework of thinking to predict how things will work, we have a pragmatic crutch at best.

Going back to Sandy’s claim, another problem exists. Sandy was arguing in favor of the Theory of Evolution. Sandy’s problem is a complex lie. Sandy’s problem has several parts. Sandy implied someone used the predictions of the theory of quantum mechanics to create the technology. Sandy didn’t say it. Sandy implied someone used the theory to create cell phones and computers. We’ve already answered that suggestion.

Besides, Sandy combined two issues into a single issue. Creating a theory about what’s happening in the present is one thing. Creating a theory about what supposedly happened in the past is quite another thing. We can’t use the same methods to test the predictions of these different kinds of theories. Sandy uses a different definition of the word “test” in each case. Here’s another fatal problem. The stories don’t predict. Stories about billions of years don’t predict. Stories about molecules coming to life don’t predict. Sandy is lying when he implies they predict. We never use these stories to create working technology. We can’t use stories about molecules turning into people over billions of years to create technology.

Quantum Theory could be useful. However, the theory wasn’t the tool that developed the transistor. Rather, scientists observed an unexpected behavior in crystals. They were trying to develop a faster switch. They invented the transistor, which was a faster switch. Quantum Theory is a possible explanation of the strange behavior, but it didn’t lead to the invention. Here’s the kicker. If scientists had used Quantum Theory to develop transistors and solid-state technology, that wouldn’t prove Quantum Theory. Nor would it help the stories of evolutionism.

Even if we can use a theory to predict what might happen under certain conditions, that doesn’t prove the theory is true. It proves we can use the theory to make predictions in areas where scientists have observed and tested those predictions. Who knows? We may find other predictions that turn out to work where the theory acts as a stimulus. Theories always go beyond scientists’ experiments and testing. They try to guess why and how the observations came to be.

We don’t call a theory “a fact.” Here’s why. We can’t test the why and how. We can directly test facts. We observe facts. We see facts. We can’t see why and how. We can use the theory because it predicts. We can take action based on the prediction. And we can test the results of that action. For example, we can test computer chips in the present. They work or they don’t work. However, we can’t test stories about big bangs, billions of years, or molecules coming to life and morphing into all the living organisms we now observe. Some say predictions test the stories. Predictions don’t test the stories. If we try to test stories with predictions, we commit the fallacy of affirming the consequent.

<end quote>

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Level-Two Predictions

This is the third in our series of posts about types of predictions. God hates lies. Lies are an abomination to God. Lies oppose God. Sometimes, ungodly thinkers commit fallacies of prediction to oppose God. This quote explains one level of prediction. Some levels of prediction are helpful. Others are deceptive. Speaking about predictions without pointing out the difference between various levels of prediction is deceptive. It’s an equivocation fallacy and a package deal fallacy. You can look those up in The Encyclopedia of Logical Fallacies free for download from RealReality.org.

<quote from Real Faith & Reason, vol 2>

Level-2 Predictions:

We might call level-two predictions educated guesses. We use level-two predictions to set the direction when we have incomplete knowledge. We can extrapolate from scientific laws and scientific facts, but we’re taking a risk when we do so. Risks aren’t always bad. When we’re venturing into the unknown, we can follow a vision out of our own hearts or we can ask God to give us wisdom, knowledge, and understanding. We can walk in His Light or in darkness. We’re following our intuition. It’s abductive reasoning. God speaks to us through our intuition. So does our fallen fleshly nature. So do demons. If we seek God, we get God. He’ll make the difference plain between Himself, our flesh, or demonic powers.

Examples:

  • predicting the outcome of an entirely new chemical reaction
  • designing a new way to construct a plumbing supply system
  • designing an entirely new automotive motor
  • Einstein predicted gravitational waves. The LIGO observatories eventually observed these waves.
  • a completed pass in football

We can only predict what we already know. Much of what we know is simply brute-beast, tentative, sense-data, pseudo-knowledge. And God has revealed true knowledge we can depend on. Therefore, we take a greater risk when we move into unexplored territory. And yet, we use the same data for level-2 predictions as we used for building things according to well-tested methods using standardized materials and procedures. However, we must add thoughts, either true or false, to what we already know to make these level-2 predictions. That being the case, we have three possible sources for whatever thoughts (hunches, ideas, or guesses) we add. The three choices are divine revelation, made-up stuff, or demonic influence. As a result, the best way to discover new truth is by asking God for guidance and following His lead. But God in His mercy also blesses even those who refuse to acknowledge Him by sometimes providing divine revelation and the blessings that come with revelation.

Then there’s the knowledge stored in human minds and used spontaneously. As an illustration, a football receiver predicts that by running at a certain speed he’ll catch the football the quarterback throws. In the same way, the quarterback predicts the receiver will catch the football, and no opposing player will intercept the football.

The football receiver isn’t making logical statements as he runs. He’s calculating, but not consciously multiplying numbers in his head or trying to formulate formal logic. He’s operating in the same way a deer operates when running from a hunter. A bumblebee makes an incredible number of calculations to fly, but the bee couldn’t discuss these calculations with us. We each have a carnal brute-beast mind that reacts to the information our senses bring us. The carnal mind can’t reason rationally using logic. We need a true premise to reason rationally using logic, and a true premise only comes from divine revelation.

How is a football receiver catching a pass different from an evolutionist forming hypotheses? The football receiver does the same thing repeatedly. It’s never exactly the same, but the receiver is, in effect, observing and testing what works and what doesn’t work. The receiver repeats the observing and testing until he programs the effective actions into the neurons that control his eyes, legs, feet, arms, and hands. We call it muscle memory.

<end quote>

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God Reveals Knowledge So We Can Survive

God hates lies. Lies are an abomination to God. Lies oppose God. Sometimes, ungodly thinkers commit fallacies of prediction to oppose God. This quote explains one level of prediction. Some levels of prediction are helpful. Others are deceptive. Speaking about predictions without pointing out the difference between various levels of prediction is deceptive. It’s an equivocation fallacy and a package deal fallacy. You can look those up in The Encyclopedia of Logical Fallacies free for download from RealReality.org.

<quote from Real Faith & Reason, vol 2>

Level 1 Predictions:

Level one predictions are predictions we can use to design and build things. With these predictions, we can take actions according to well-tested methods using standardized materials and procedures. These predictions spring from scientific facts and scientific laws rather than scientific theories or scientific hypotheses. All this knowledge came from God even though we may now find it in books and databases. Even now, we can stand in the presence of the One Who knows everything and Who has all wisdom when we apply these predictions.

Examples:

  • looking up the proportions of chemicals needed to make a known glue
  • using knowledge of the strength of aluminum to design a light-weight support for an awning that will withstand 60 mph wind force
  • adding the right amount of lime to a field to bring the soil pH to the correct level for growing a certain crop based on what’s already known

At this level, we can predict the results of actions based on tested and verified data. We can find this data stored in databases and reference texts. This data allows accurate predictions of what will happen if we take a certain action. For instance, we can build the same airplane design hundreds of times and predict each plane will fly. Although much of this science and engineering is brute-beast, tentative pseudo-knowledge, God has given us any true knowledge we have.

We know facts beyond what we store in tables, charts, and databases. We store knowledge in human minds. And we use that knowledge spontaneously. For instance, a water skier predicts a certain combination of body movements will allow her to make a certain difficult maneuver every time she performs in public. In the same way, a carpenter routinely predicts the way he swings his hammer will cause it to hit the nail and drive it into the wood. These predictions come from hours and hours of performing the same movements and learning what works and doesn’t work by experience.

As with all knowledge, people can use this knowledge for good or evil. Ungodly people can know the damage a certain drug will do but lie to the public for the sake of money or control. Ungodly persuaders who control the great-false-prophet media and education can use that system to spread fear or hate with messages they know are false.

<end quote>

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Seven Levels of Predictions

<quote from Real Faith & Reason, vol 2>

The Prediction Argument Isn’t Simple

The idea of using predictions isn’t as simple as it first appears. Predictions come in several flavors.

In the list below, we use the term “historical science.” However, that term is problematic as we’ve already discovered. A clearer term would be “historical storytelling.” We might have artifacts like letters, photographs, or artwork. We can examine those in the present. When we have existing parts of the cosmos like stars, geology, or living organisms, we can observe those in the present. Nevertheless, we can’t observe historical stories in the present. God can reveal history, but humans can also make up stories about history. When humans make up stories about history, they generally begin with observations. Then, they try to extrapolate from the observations. Sometimes, humans try to extrapolate from what God has revealed. That’s also a problem. The more they extrapolate, the more fanciful their stories become. So, we’re using the term “historical science” to indicate some combination of observation, storytelling, and divine revelation. “Historical science,” is a broad term, but we need a term that includes both godly thinking and ungodly thinking.

Seven Levels of Predictions:

Level 1 Predictions: Designing and building things, or taking actions, according to well-tested methods using standardized materials and procedures

Level 2 Predictions: Educated guesses to set the direction in areas not completely known

Level 3 Predictions: Practical application using a theory to predict

Level 4 Predictions: Historical science predictions later confirmed by observation

Level 5 Predictions: Historical science postdictions made after observations and then falsely called “predictions”

Level 6 Predictions: Historical science phantom predictions based on false representations of observed results or other faulty thinking

Level 7 Predictions: Predictions that pretend to prove theories. These predictions are actually affirming-the-consequent fallacies and Texas-sharpshooter fallacies

<end quote>

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Are Predictions Useful?

<quote from Real Faith & Reason, vol 2>

Are Predictions useful?

Predictions are useful and important. For example, we predict turning the steering wheel will have an expected effect on the direction the car is going, so we steer the car. As another example, we predict working hard will increase the odds of making progress toward our goals, so we work hard. As another case in point, we predict injuring ourselves will cause pain, so we avoid injuring ourselves. So, from these examples, we can see we take many actions based on predictions. At the same time, some people use predictions to “prove” their speculations. They deceive themselves. They affirm the consequent. Some scientists think predictions “prove” theories. That’s irrational. Without divine revelation, the brute-beast human mind can’t think rationally beyond what it can observe and test. When it tries, it relies on smokescreen fallacies like affirming the consequent.

<end quote>

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Affirming the Consequent Fallacy

<quote from Real Faith & Reason, vol 2>

Now here’s another example of the affirming the consequent fallacy. This example destroys happiness in many marriages. Either the wife, the husband, or both, may commit this fallacy, but we’ll use an example of the husband’s thinking. In this scenario, the wife wasn’t feeling well and was irritable when her husband came home. Unconsciously, the husband affirmed the consequent by saying, in his mind, if his wife didn’t love him, he would predict that she would act as she’s acting. Carrying his reasoning a step further, he then used his observation of her irritable attitude to prove to himself that she didn’t love him. A few days later, she unknowingly put something into the trash that he wanted to save. Again he used the same prediction fallacy to conclude that she was an uncaring person. And as he continually relived these experiences and others, he developed internal bitterness. Over time, he began to have a worldview in which his wife was evil and nasty, and this worldview began to show itself in his attitude toward her. Of course, she reacted in the way we would expect, and he, in turn, saw her reaction as confirming what he had predicted all along. Now he had “absolute evidence” from many sources that “conclusively showed” that she wasn’t right for him and that he needed to get a divorce. Of course, this husband is living in a fantasy, and his fantasy is causing pain to him, to his wife, to his children, and to those who have to watch.

<end quote>

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Pseudoscience

<quote from Real Faith & Reason, vol 2>

Of course, our subject is reason, not evolution. We’re just using evolution as an example to illustrate a point about knowing and how we can have knowledge of the truth. At present, evolutionists can’t make predictions work for the stories of evolutionism. So some evolutionists want to dismiss the idea of predictions in science. We need to ask two questions. Can predictability prove something true? Can the lack of predictability prove something false?

Affirming the Consequent

Trying to use predictions as proof brings us to a fallacy known as affirming the consequent. Of course, affirming the consequent is a formal fallacy, a fallacy of form. It’s an error in the way we use the premise to prove the conclusion. While this fallacy might seem complicated at first, it’s simple, so we’ll understand it in the next few paragraphs.

While predictability can’t prove any claim, it can create confirmation bias using the logical fallacy of affirming the consequent. But evolutionists imply predictability proves their claims.

First, let’s state the evolutionists’ argument as a syllogism. Their predictions aren’t true predictions, so some of their premises aren’t true. However, we’ll ignore this problem for now. We’re going to ignore the untruths in the premises. We’re only looking at the formal fallacy of affirming the consequent.

Premise 1: If a big bang happened, we would predict finding cosmic microwave background noise, stars moving away from us, and hydrogen, helium, and other trace elements having a certain ratio.

Premise 2: We find cosmic microwave background noise, stars moving away from us, and hydrogen, helium, and other trace elements having the expected ratio.

Conclusion: Therefore, everything started with a big bang.

As stated, some of the premises aren’t true. But we’re ignoring the untrue premises for this example because we’re focusing on understanding the formal fallacy of affirming the consequent. Even if the argument used true premises, this argument doesn’t prove the conclusion. The form isn’t valid. The form isn’t rational. It’s not sound logic. It gives the illusion of being sound, but it’s irrational.

Fallacies that fool us sound good, but they’re irrational. While we may not detect what’s wrong with the logic in a tricky example like Bill Nye gave us, we quickly detect the error if we look at the same logical form with something obvious. For an easy example, imagine a friend of yours commits this same fallacy, and here’s what your friend says about you:

Premise 1: If you were an evil person, then I would predict I would sometimes be mad at you.

Premise 2: I’m sometimes mad at you.

Conclusion: Therefore, you’re an evil person.

Premise one may be true, and premise two may be true, but the form makes the conclusion unreliable. Let’s have another example. This one is a friend talking to you on the phone.

Premise 1: If you don’t exist, then I would predict I wouldn’t be able to see you.

Premise 2: As predicted, I’m not able to see you.

Conclusion: Therefore, you don’t exist.

Here’s a quote on this subject [the affirming the consequent fallacy] from “Inside the Nye-Ham Debate,” page 123:

 

“Allow me to explain this fallacy further using the Greek myth about Helios. Helios was the Greek ‘god’ that allegedly drove the sun across the sky in a chariot. Let’s say a Greek mythologist said, ‘there was predictive power’ in Greek mythology, then proceeded to explain that in Greek mythology, the sun rising, setting, and going across the sky is good. Since we see the sun rising, setting, and going across the sky, the explanation provided by Greek mythology is proof of a Greek mythology’s predictive power. After all, how else would you explain it? Do you note the absurdity in this similar analogy?”

<end quote>

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Contrastive Reasoning

<quote from Real Faith & Reason, vol 2>

Dr. Hunter says evolutionists depend on contrastive reasoning.

“Yet contrastive reasoning, evolutionists argue, proves evolution is a fact. This illustrates the tremendous importance of the role of contrastive reasoning.”

What is contrastive reasoning? It’s the Sherlock-Holmes fallacy.

Sherlock-Holmes Fallacy

(a.k.a. Process of Elimination)

A method of reasoning based on the process of elimination

Persuaders who commit Sherlock-Holmes fallacies try to find every possible explanation and disprove all but one. This system of reasoning has two severe problems. (1) We can’t know we’ve found every possible explanation. (2) We can’t know we aren’t biased in choosing which ones to rule out. Unless God reveals it, we would need to be omniscient to know for certain we had considered every possible explanation. Worse, we might eliminate explanations that disagree with our worldviews or favor explanations that agree with our worldviews.

<end quote>

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Evolution’s Predictions

<quote from Real Faith & Reason, vol 2>

Cornelius G. Hunter in his writing titled “Darwin’s Predictions” wrote the following:

“It is perhaps not surprising that, setting the contrasting reasoning aside and focusing exclusively on the science, evolution’s fundamental predictions fail badly. The above sections reviewed several fundamental predictions of evolutionary theory, once held with great conviction, that have all been found to be false, much to the surprise of practitioners.”

In this writing, Dr. Hunter went into detail to show how each of the predictions fails. He refutes all the objections. In another part of his writing, he states this:

“Evolution’s predictions, and associated explanations, do not make sense of the observations.”

<end quote>

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Illusions of Pseudoscience

<quote from Real Faith & Reason, vol 2>

While it’s true we can sort fossils by similarities, we can sort any objects by similarities. We can sort nuts and bolts by similarity. We can sort buttons by similarity. We can sort rocks by similarity. Sorting by similarity doesn’t point to ancestry. And we don’t even see continuous similarity when we sort fossils. We see distinct kinds of living organisms, zero undisputed transitional forms between kinds, and much variety within each kind. Fossils don’t help the stories of evolutionism. No evidence supports these stories. Evolutionists skillfully work to create illusions of evidence by using fallacies. However, no real evidence exists. Given the lack of evidence, it’s surprising politicians give our tax money to scientists who try to explain away these observations.

<end quote>

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