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The Scientific Process

After my own studies and discussions with Grok xAI, I’ll outline a step-by-step breakdown of modern science. Some still believe science is rational, deductive, and logical. We’ll dissect the process and reveal it’s anti-logical from start to finish, despite using modus tollens.

Karl Popper exposed the anti-logical nature of scientific experimentation, particularly the nonsense of affirming the consequent. To counter induction’s irrationality and this fallacy, Popper proposed scientists use modus tollens to invalidate hypotheses. Modus tollens is a valid deductive form. Yet, if you lack upfront truth, affirming the consequent is the only way to positively affirm a claim, if the logic is to correctly correspond to your actions. Popper aimed to minimize this by favoring deduction. The catch? At best, modus tollens can say something is wrong—it can’t confirm truth. Today, top scientists recognize induction and science’s irrationality, leaning into falsification for better experiments.

If we admit science offers no truth, only pragmatic usefulness, then adding modus tollens at the end enhances practical outcomes. We support this. As noted, science fulfils God’s command to dominate the world for practical benefits—a blessing He ordained. But that’s all science is. Even when its utility seems impressive, its statements about reality are false.

Since the scientific process is rooted in inductive and observational fallacies, it’s irrational and anti-logic. Slapping modus tollens on the end doesn’t erase this irrationality; it just improves pragmatic results. It’s right to acknowledge science’s baked-in anti-logic and compensate with deduction—if we clarify this is for usefulness, not knowledge.

Before detailing the process, let’s define falsification. Grok xAI (2024) put it this way:
“The origin of falsification, per Popper, is rooted in the idea that a hypothesis must be scientific if an experiment or observation could prove it false. This was a direct jab at the inductivists and verificationists of his time. Popper’s philosophy was like saying, ‘Science isn’t about piling up evidence for your theory; it’s about daring it to fail.’”
This is accurate but needs unpacking to avoid confusion. Popper critiqued scientific experimentation (i.e., “verification”) that relied wholly on affirming the consequent to link hypotheses to reality.”

Grok calls it a “jab at inductivists,” which can mislead. Even with modus tollens, science remains overwhelmingly inductive. Though Popper shifted “verification” to the “pre-hypothesis” stage rather than the endpoint, falsification swims in a sea of inductive reasoning and observation. Grok was correct that “Popper would have it… it must be possible to conceive of an experiment or observation that could prove it false.” Popper’s falsification operates within “inductive observation” and “inductive experiment.”

Thus, despite jabbing inductivists, Popper’s method still employs induction. Science isn’t one thing—it’s a process. I once heard a scientist claim, “Science is only deductive because it’s only about falsification, specifically modus tollens.” This misrepresents Popper’s approach, which integrates induction and observation. When I asked Grok (2024), it responded, “Absolutely not! Popper argued a theory must be falsifiable, aligning with modus tollens’ deductive logic to disprove it. But induction isn’t sidelined:

  • Initial Phase: Science starts with observation and inductive reasoning to form hypotheses.
  • Ongoing Nature: As hypotheses are tested, scientists refine them with new observations and inductive leaps, keeping induction central.”
    Since falsification uses induction, it’s inherently irrational, violating the laws of identity and contradiction. It’s a systematic affirmation of false premises in unsound arguments, pretending to deny something.

Calling “science deductive” is false. I wouldn’t even say it’s inductive and deductive—its “deduction” is unsound. I wouldn’t label an unsound argument deductive unless we’re pretending in a fantasy world. Generously, we could call science heavily inductive with some deduction tacked on.

This matters for Christians. The Bible uses only sound arguments, rejects induction’s anti-logic, and shows our observations can be wrong. It dismisses empirical observation and induction for knowledge. Thus, falsification isn’t a biblical standard and can’t yield knowledge. Some fools hybridize this irrational human method with the Bible’s rational approach, claiming falsification aids understanding Scripture and truth. This is blasphemy—melding the irrational with God’s rational system defames His mind as irrational or endorsing irrationality. Similarly, fake presuppositionalists claim the Bible ratifies observation and empiricism for knowledge—nonsense.

Another reason to reject falsification: its maxim—“something must be provably wrong to have credibility”—is false. The law of contradiction (LoC) isn’t falsifiable; denying it requires using it. Self-authenticating truths, like the LoC, render falsification inapplicable. At best, falsification fits inductive observations. The Bible, as shown in epistemology, is self-authenticating—unfalsifiable. It can’t be proven wrong because any attempt presupposes it; Scripture declares itself true and all else false. We don’t use falsification to read the Bible or find truth. If it’s such a great rule for Christians, why doesn’t its maxim apply to Scripture?

Note the maxim says “for credibility,” not “to prove true.” Falsification is negative—it can’t produce positive claims without violating logic. Since the Bible rejects observation, empiricism, and induction for knowledge, and falsification uses them, Christians don’t employ it for knowledge. Even using modus tollens—directly, in reductio ad absurdum, or falsification—is only negative, offering no positive truth. When someone says, “I don’t see God healing today,” it’s wrong not because of falsification but because Scripture rejects inductive observation outright.

There’s nothing wrong with modus tollens to show something is false—Scripture uses this deduction. St. Augustine and Paul (1 Corinthians 15) did too, free of empiricism or observation assumptions. But if someone uses empiricism as a standard, showing documented healings should convince them if they’re consistent. We can use modus tollens to refute them with their own flawed epistemology. The catch? Induction’s conclusions don’t logically follow premises, so they can reject evidence due to its inherent uncertainty. Even a deductive argument using observation—ours or theirs—becomes unsound, leaving conclusions skeptical. Induction offers no logical binding to accept any conclusion—you can dismiss or embrace as you please.

As a Christian, the Bible says God heals, and on faith’s demand, He will (John 15: Jesus predestined us to ask and receive). I expect healings. My observations are private knowledge—and if I applied these with deductions from Scripture “for myself,” then my self-knowledge is what the bible asserts. But shifting private to public knowledge violates logic’s laws. Scripture alone is our starting point for knowledge about healing. Anyone using inductive observations to argue miracle healing is a fool, rejecting the Bible as the sole epistemic foundation.[1] Such debates aren’t about healing but epistemology—Scripture’s deductive logic versus induction’s fallacy. Tell them they’ve abandoned Christian doctrine on knowledge and logic; if they don’t repent, boycott and excommunicate them.


The Scientific Process

Observation and Hypothesis Formation (Inductive Step)

Note: “Scientific experimentation (affirming the consequent)” has been pushed back to “hypothesis formation.”
Scientists observe phenomena in nature or data, noticing that when event A occurs, phenomenon B follows. This resembles affirming the consequent: “If A, then B; B happens, so A caused it.”

  • Example 1: (A) Rain occurs, (B) my yard gets wet. (B) I see my yard wet, so I hypothesize (A) it rained.
  • Example 2: (A) Bacteria add chemical X to solution H, (B) it turns red. (B) I see it red, so I hypothesize (A) bacteria added X.

Formulating the Hypothesis (Setting Up for Modus Ponens)

Initially, scientists observe B (a fallacy) to check their idea. If testing’s possible, they run preliminary affirming-the-consequent experiments for merit. Then, they frame hypotheses as modus ponens: “If A, then B; A, thus B.” They pretend a necessary connection exists to apply modus tollens later—not to affirm the consequent but to predict outcomes. They say, “If hypothesis (A) is true, under these conditions, we’ll see (B).”
In layman’s terms, this is logical voodoo, a void, or superstition.
Two ways this bait-and-switch happens:

  1. Vincent Cheung’s Example (A Gang of Pandas):
    1. “If (A) is a cause, then (B) is a result. B happens, thus A caused it.”
    1. Restated as modus ponens with B and A flipped, using a false conclusion to build an argument.
  2. Direct Pretence: Pretending inductive “If A, then B” is real or pretend it’s a necessary connection. This is like misstating a math problem to reflect reality. If I buy 4 apples at $1 each, calling it calculus is delusional if it doesn’t match reality. Scientists engage reality via affirming the consequent due to observation—they can’t avoid it. Restating it as modus ponens is delusional because it doesn’t mirror their actual interaction with phenomena.

Experimental Design (Testing via Modus Ponens)

Scientists design experiments controlling A to see if B follows, mimicking modus ponens:

  • If hypothesis A is true, under specific conditions, B occurs (If A, then B).
  • They ensure A is present.
  • They check if B happens (A leads to B).
    This isn’t just to affirm the hypothesis (a fallacy) but to test predictions under control. Yet, problems still abound:
  • The setup stems from a fallacy—using a false conclusion from observation and affirming the consequent to fake a connection. This restated logic doesn’t reflect their real-world engagement; it’s fabricated.
  • They only pretend it’s modus ponens—in name only. Some admit the connection is merely sufficient, making falsification tentative, not necessary, contradicting the very definition of logical inference.
  • Controlled tests can’t rule out infinite unknowns (e.g., heat affecting results unbeknownst to a scientist ignorant of it).
    Vincent Cheung notes, “The idea is simple. To know that any experiment is “constructed properly” the scientist’s knowledge must be “bigger” than the experiment. But if his knowledge is already “bigger” than the experiment, then he hardly needs to perform the experiment to gain knowledge that is limited by the experiment. The only way to be sure that one has identified and controlled all variables that may affect the experiment is to possess omniscience. The conclusion is that only God can tell us about the universe.”[2]

Falsification Attempts (Modus Tollens)

Here’s the shift:

  • If B doesn’t occur when A is present: “If A, then B; not B, therefore not A” (hypothesis falsified).
    Scientists aim to confirm hypotheses (affirming the consequent), but better ones seek disproof. Misaligned results falsify, and this leads to rethinking and refinement.
    Yet observation and affirming-the-consequent thinking build the argument for falsification. Induction underpins science’s foundation and definition. The “deductive” arguments are unsound—born from false conclusions, misrepresenting reality. It’s deduction by pretence. Before falsification, the hypothesis’s necessary connection is unknown. Falsification deems it wrong, which says little.
    The experimental connection has two interpretations:
  • If honest (connection is sufficient or a guess), falsification is uncertain, not necessary—violating deduction’s essence.
  • If claiming necessity, it’s pretence, falsifying only a pretend reality, breaching contradiction and identity laws.
  • Finally, saying “laws are formulated by falsification” is a non-sequitur. Negative propositions can’t yield positives without adding information—violating logic. Laws from falsification can only say “this isn’t that.” Positive laws from falsification defy logic; negative isn’t positive.

The point is that observation and affirming the consequent thinking and testing is involved in formulating the argument that will be tested by falsification. Thus, induction is both the foundation of science and therefore involved in the definition of science. The so-called deductive arguments are unsound, because they are created by false conclusions and the logic does not reflect their interaction with reality. It is deduction only by pretending. Before falsification is used, it is not known if the major premise of the syllogism (hypothesis) has a necessary connection. Falsification says this unsound argument is wrong. which is not really saying that much.

The connection in their experiment can be taken in two ways. If they are honest and admit the connection, at the very best is sufficient or a guess, then if falsification is used, the falsification is only a guess, but not a necessary falsification. This violates the very definition of deduction, which is necessary. If they insist the falsification is necessary, then they violate the laws of contradiction and identity. If they want to insist their connection in their experiment is necessary, then it is only by pretending. Thus, if they use falsification, it is only falsifying a pretend reality.

Lastly, there is the part where scientists say, “laws… are formulated by falsification.” This is false. It is a non-sequitur fallacy. Remember our rules for category syllogisms? We talked about distribution of terms but also the quality and quantity of a syllogism. If the propositions of an argument are negative, you cannot get a positive out of it. The same here.  Falsification can only say, this is wrong, but to then turn around and say we have a law that says, “this is this,” is to add more information than what the argument says. Laws, formulated by falsification can only say at best, “this is not that.” Every positive law stated by scientists using falsification is a violation of the laws of logic. To say negative is a positive is anti-logic.  


[1] This is different from starting with the truth given by scripture, and then present your healing as “testimony” that agrees with the truth. You are saying the bible is the proof, and my testimony agrees with the truth, not the other way around.

[2] Vincent Cheung. A Gang of Pandas. Sermonettes Vol.1.

Science is Anti-Logic

Recently, I have been reminded that people think science is deductive and logical.

Empiricism, Observation and affirming the consequent are logical fallacies.  Because they are the epistemology, order and systematic practice of science, it means science has no knowledge. Science has no body of knowledge.  These logical fallacies are built into the nature of empiricism and science. For example, because the bible is God’s revelation given to us, deduction is therefore pre-baked or built into our worldview. We do not discover or observe truth, God reveals it and we apply (i.e. deduction) this knowledge to us and the world around us. We do not formulate generalizations because God already gives us the truth up front.

If your epistemology starts with the five senses (which is a fallacy), then fallacies of induction are pre-baked or built into your worldview. No amount of crying about this, will make the fallacies go away. You do not have knowledge because it was not revealed and given to you. And so, you must observe and attempt to find it. You must use particulars (‘some’ (in addition to being private, transient descriptions)) and generalize (‘all’ category statement). However, to do this you violate the law of contradiction by saying ‘some’ and ‘all’ are the same thing. The only way to avoid this is if you are omniscient, or can observe all things in all past, present and future with perfect understanding of all you observe. Unless this is the case, then the premises of observation are always a ‘some.’ However, category statements need to be ‘all’ statements if you want knowledge about reality. All conclusions produced by induction do not logically follow from the premises. This means all induction is a non-sequitur fallacy. This means all induction is anti-logic, because it violates the law of contradiction and violates the law of valid inference. The logical void between premise and conclusion is the place where the laws of logic are violated. Induction is anti-logic.

The statement “trees are rocks” is primarily a category mistake because it misclassifies trees, which are living organisms, as rocks, which are inanimate objects. Trees and rocks belong to fundamentally different categories and have distinct properties. However, it can also be seen as a contradiction because trees and rocks have inherent, distinct properties. Trees grow and reproduce, while rocks do not. Therefore, saying that a tree is a rock contradicts the essential properties that define each category. The primary issue is the misclassification of categories, but it can also be seen as a contradiction due to the inherent properties of trees and rocks.

The inherent properties of knowledge are not material. However, sensations and reality are material. To have premises about material things to then conclude with knowledge, is primarily a category mistake, but also a contradiction because of the inherent properties of these categories. Thus, observation and empiricism are anti-logic.

Empiricism is a fallacy. What you see is not the same as the thing you are seeing; they are different categories. Also, the visual or audio sensation is not knowledge, but you understand what you are seeing by invisible propositions of true and false. Sensations are not propositions, and thus you have multiple category fallacies when you go from the thing itself, to sensation and then to knowledge. This results in a repeated systematic denying of the law of contradiction. To say the category of a “the thing itself,” a “sound” and a “proposition” is the same, is a category error and so it also denies the law of contradiction. Category errors in one’s epistemology would lead to skepticism, and this would also deny the law of contradiction. Empiricism is anti-logic.

Scientific experimentation is the fallacy of affirming the consequent. I want to give credit to Vincent Cheung for helping me understand this below, from his essay, A Gang of Pandas.

A. If chemical Y is present, then this solution will explode.
B. The solution exploded.
C. Thus, I verified that chemical Y is present.

This is a fallacy. Maby chemical ‘k’ was present and it was the reason for the explosion. We are on the topic of logic. Logically, controlled tests do not eliminate the infinite number of variables that could be affecting the experiment. Controlled tests have no bearing on removing the fallacy of affirming the consequent. The only way for a scientist to know if his controlled test does eliminate all other variables, is to already have more knowledge than his experiment, but if that is the case then he doesn’t need science anymore, because he already knows all things.

A scientist will then take the conclusion produced by the fallacy of affirming the consequent and then restate it as a Modus Ponens in their scientific journal. Scientist want to be deductive and logical so they restate their fallacy in a deductive form. However, the reformulation is in name only. Logic must match up with reality.  Affirming the consequent is experimentation.

D. If his solution explodes, then chemical Y is present.
E. This solution exploded.
F. Thus, chemical Y was present.

 Thus, to restate such statements as Modus Ponens in scientific publications is nothing less than a delusion. They state their experiments as category statements to be used in deduction.  This gives them the appearance that they have knowledge. However, the first premise of their Modus Ponens was produced by the fallacy of affirming the consequent. Thus, their deduction is unsound.  There never was a body of knowledge to begin with. But they want to have a body of knowledge and so they transform categories and necessary connections not present in their premises and illogically put in their conclusions. They are anti-logic. 

Using “deduction” without knowledge or with false premises means the syllogism is unsound. To use deduction without knowledge is delusional and insane. For example, for me to say, “All box-jellyfish are jellyfish. I am a box-jellyfish. Therefore, I am a jellyfish,” would be deductive but also delusional. It is vain to use deduction or logical inference, unless you have a body knowledge to begin with. Knowledge is something science never had. You cannot use the triple fallacy of empiricism, observation and affirming the consequent and then produce knowledge; it is logically impossible. It is anti-law-of-contradiction to say a conclusion that does not logically follow from the premises produces knowledge.  

Science: the Fallacy of an Undistributed Middle Term

QUEST. Is the fallacy of affirming the consequent a type of inductive reasoning; or is inductive a type of the fallacy of affirming the consequent; or are the two completely unrelated? Induction is defined as arguing from a particular to a universal.
Affirming the consequent: P ⊃ Q; Q; ∴ P.

ANS. Affirming the Consequent and inductive reasoning are similar or comparable, if we define inductive reasoning as “having more information in the conclusion than what the premises contain.”

In essence, the informal fallacy called, “non-sequitur” – “does not logically follow from the premises”—is what all inductive reasoning is.

Deduction: Conclusion has information only contained in the premises.

Induction: Conclusion has new additional information the premises do not contain.

For example

E1. All [things that comes to pass] are [determined by God]. B is C
E2. [Man’s moral acts] are [things which come to pass]. A is B
E3. Thus, [man’s moral acts] are [determined by God], & [not responsible]. A is C & D

The conclusion “man’s moral acts are determined by God,” is obviously already contained in the original premise, “All that comes to pass are determined by God.” If all things are determined by God, then so is man. Simple enough. However, the term “not responsible” and the necessary connection to it are not in the premises. This the essence of all inductive reasoning, it a non-sequitur.

As for affirming the consequent, depending on the terms and its simplicity many of them can be interchanged with categorical logic. Be forewarned not all can be interchanged like this.  It needs to be a simple,  If A then B is C. (Example, “If A is B, then C is D,” type of arguments will not work. 

The thing to remember is if one does truth tables in Natural Deduction, one will see that the simple forms (modus ponens, modus tollens) do not become invalid with complexity (for example with multiple conjunctions). Thus, the key is to master the basic forms, and realize they will continue to be valid, even in complexity, long as one keeps the form. Since scientific experimentation uses the form of affirming the consequent, and denies theory’s with a modus tollens, all one needs to do is understand these basics. Also, keep in mind, basic propositional logic like modus ponens, focus on the necessary connections, while basic category logic will focus on necessary category realities. If you have one, because these are “necessary,” then you have the other, but they are not the exact same thing. 

This simple modus ponens is stating the B and C terms, the third term, which is missing is an implied fill-in-the-black, ‘A’ subject.

If a mammal, then warm blooded. (B is C)
Is a mammal. ( B )
Thus, warm blooded. ( C )

The argument is based on the presupposition that mammals are warm-blooded (B is C) is a given truth.

M.1 If [Bats] are [mammals], then they [warm-blooded].  A, (B is C)
M.2. [Bats] are [mammals]. A is B
M.3. Thus, they [Warm-blooded]. A is C.

Even though the first line of this Modus Ponens, M.1., has all three terms (A is B is C), the main emphasis is that B is C, like the major premise of a Category Syllogism. Next, M.2. is A is B, which is similar to the minor premise of a Category Syllogism. Finally, the conclusion is A is C.

B is C
A is B
Thus, A is C.

This Modus Ponens is hypothetical in form only. The essence of this argument is the comprehension and extension of the terms, not mainly about the necessary connection from B to C. Thus, we will put this into a bullseye syllogism.

N.1. All [Mammals] are [Warm-blooded]. B is C.
N.2. All [Bats] are [Mammals]. A is B
N.3. Thus, All [Bats] are [Warm-blooded]. A is C.

Now, let us review Affirming the Consequent, which is the structure for scientific experimentation. We will use a simple enough form that it can be used in categorial logic.

H.1. If [Jack] eats [lots of bread], then his [belly gets full]. A, (B is C)
H.2. [Jack’s] [belly got full].  A is C
H.3. Thus, [Jack] ate [lots of bread] A is B

B is C
A is C
Thus A is B.

This of course is a fallacy. It could be that Jack ate lots of durian rather than bread. Let us put this into categorical logic to see the fallacy.

Y.1. All [who eat lots of bread] are [those who belly’s get full]. B is C
Y.2. All [Jack] is [he who belly got full]. A is C
Y.3. Thus, [Jack] is [He who ate lots of bread]. Thus, A is B

If you noticed, the information in the conclusion has more than what the premises provide. This is the fallacy of an undistributed middle term. The picture below will help show a visual of this logical fallacy.

Thus, the fallacy of scientific experimentation, if restated in a category fallacy, is the fallacy of an undistributed middle term.