The knowledge that one needs to know.

A Model for the Acceptance of Knowledge in Politics

 

In today's world, political information is everywhere. We encounter it on television, on social media, through search engines, from friends and family, and from the politicians themselves. Because information is so readily available, it is easy to believe that being informed simply means receiving a large amount of information.

But receiving information is not the same as knowing that information is true.

A person can hear the same political claim hundreds of times and still have no good reason to believe that it is true. Repetition can make an idea familiar, but familiarity is not proof. A persuasive speaker can make an argument sound convincing, but persuasion is not proof either. If we want to form educated political opinions, we must therefore develop a method for determining what information deserves to be accepted as knowledge.

I have developed the following model for the educated mind to use when accepting knowledge in politics. Its purpose is not to tell people what political opinions they should have. Its purpose is to help people determine why they should believe what they believe.


The Importance of Leaving Bias Behind

In order to form more educated political opinions, we must seek a perspective that encompasses the relevant possibilities rather than limiting ourselves to the perspective we already prefer.

Consider the following teaching from Nir Hazon's Scroll of Wisdom:

8. Overcoming Bias Through Broader Understanding
"Bias can limit our understanding by preventing us from considering perspectives beyond our own. We can reduce this limitation by remaining willing to examine all relevant possibilities."

This does not mean that every opposing argument is correct. It means that we should be willing to examine an argument before deciding that it is wrong.

This distinction is important.

Objectivity does not require us to give every claim equal credibility. If one claim is supported by strong evidence and another is supported by little or no evidence, we should not pretend that the two claims are equally convincing simply because they represent different political positions. Instead, objectivity requires us to consider the possibilities and then evaluate them according to the evidence.

Sometimes, examining different sides of an argument can reveal information that neither side has considered. It can expose weaknesses in our own reasoning, reveal assumptions that we did not realize we were making, or even lead to solutions that would not have been discovered from a single perspective.

The larger our view of a political issue becomes, the more accurately we can understand it.


Never Become Too Certain to Learn

After recognizing the importance of leaving our biases behind, we must also recognize another danger: becoming so confident in our existing beliefs that we stop seriously considering information that could change them.

If our goal is to form educated opinions, we should not begin an investigation by deciding what the conclusion must be. We should begin by asking what is true.

This does not mean that we must remain uncertain about everything forever. Some political questions have answers that can be established with considerable confidence. Election results, the text of a law, a voting record, a government statistic, or the words spoken by a politician can often be investigated directly.

The principle is instead this:

Our confidence should be proportional to the strength of the evidence.

When the evidence is overwhelming, we can be highly confident. When the evidence is incomplete or contradictory, our confidence should be lower. When new and reliable evidence appears, we should be willing to revise our conclusions.

I therefore highly recommend remembering the following teaching from Nir Hazon's Scroll of Wisdom:

18. Intellectual Humility
"The more confident we become in our own intelligence, the more important it is to remain willing to question what we believe we know."

The moment we become convinced that we already understand something completely, we can become less willing to investigate it. We may stop asking questions, stop examining evidence, and begin defending our existing conclusion rather than searching for the truth.

Intelligence is therefore not merely the ability to reach conclusions. It is also the ability to recognize when a conclusion deserves to be questioned.

We should continuously ask:

What do I know? How do I know it? What evidence supports it? What evidence contradicts it? What am I assuming? And what evidence would cause me to change my mind?

These questions are especially important in politics because political beliefs can become closely connected to our identities, communities, and emotions.


What Exactly Are We Accepting as Knowledge?

Before accepting a political statement, we should determine what kind of statement it is.

A political statement may be:

  1. A factual claim — a claim about something that happened or currently exists.

  2. An interpretation — an explanation of what an event means or why it happened.

  3. A prediction — a claim about what will happen in the future.

  4. A value judgment — an opinion about what is good, bad, fair, unfair, desirable, or undesirable.

  5. A political proposal — a recommendation about what government should do.

These categories should not be evaluated in exactly the same way.

For example, the statement that a particular law was passed is primarily a factual question. We can investigate the legislative record.

The statement that the law was beneficial is an evaluation. It requires us to examine its consequences as well as the values being used to determine what "beneficial" means.

The statement that the law will improve society in the future is a prediction. Predictions require evidence and reasoning about likely consequences, but they cannot be established with the same certainty as an event that has already occurred.

Recognizing these differences prevents us from treating opinions and predictions as though they were established facts.


Accepting Knowledge From Media Sources

Many people approach political information by asking only:

"What source said this?"

The source matters, but that question is not enough.

A reputable source can make a mistake. A source that usually reports accurately can present an incomplete picture. A commentator can accurately describe an event and then offer an unsupported interpretation of it. A social-media post can contain a genuine fact while drawing an unjustified conclusion from that fact.

We should therefore examine the claim itself, the evidence supporting it, and the reasoning used to reach the conclusion.

When receiving political information from the media, I recommend the following process.

1. Identify the claim

First, determine exactly what is being claimed.

Do not allow a dramatic headline or emotionally charged presentation to substitute for understanding the actual claim.

Ask:

What specifically am I being told happened?

2. Separate the event from the interpretation

A news report may contain both information about an event and an interpretation of what that event means.

Try to separate them.

For example:

  • Event: A politician voted for a particular bill.

  • Interpretation: The politician voted for the bill because they wanted a particular outcome.

  • Evaluation: The politician's vote was good or bad.

  • Prediction: The bill will produce a particular result.

These are different claims and should be evaluated separately.

3. Examine the evidence

Ask:

What evidence is being presented?

Whenever possible, go beyond the description of an event and examine the underlying evidence yourself.

For political questions, useful evidence can include government records, legislation, official statistics, court decisions, voting records, transcripts, public statements, research studies, and other primary sources.

A news organization can help you discover that an event happened, but sometimes the best way to determine what actually happened is to examine the original evidence.

4. Read beyond the first source

Do not allow one source to become your entire window into a political issue.

Read multiple credible sources and, when appropriate, examine sources that disagree with one another.

This does not mean looking for an artificial "50/50 balance." The purpose is to discover whether important information has been omitted, whether different sources interpret the same evidence differently, and whether your initial understanding survives examination from another perspective.

An especially useful practice is lateral reading: when you encounter an unfamiliar source or claim, leave that source and investigate what other reliable sources say about it. The Stanford Civic Online Reasoning program teaches this approach as a way of evaluating information online.

5. Investigate the source's interests and incentives

We should consider why a person or organization is presenting information.

Ask:

  • Who produced this information?

  • What is the purpose of the organization?

  • Is the person reporting, persuading, entertaining, fundraising, or campaigning?

  • Does the source have a financial, political, or ideological interest in the conclusion?

  • Is the source presenting evidence, or merely asking us to trust its interpretation?

Considering incentives does not automatically make a source unreliable. A source can have an interest in an issue and still provide accurate information. The purpose of examining incentives is to understand the context in which information is being presented.

6. Look for manipulation

Political communication frequently uses emotional techniques.

A headline may attempt to make us angry before we have learned what happened. A video may show only the portion of an event that supports a particular interpretation. A commentator may repeatedly use emotionally charged language to encourage a particular reaction.

We should therefore learn to recognize the difference between information and persuasion.

A useful question is:

If the same facts were presented without the emotional language, would I reach the same conclusion?

7. Look for the strongest opposing argument

Do not merely search for people who agree with you.

Ask:

What is the strongest argument against my current position?

Then investigate whether that argument has evidence behind it.

This is more valuable than finding a weak opposing argument and defeating it. If we only examine arguments that are easy for us to reject, we may become more confident without becoming more knowledgeable.

8. Search for disconfirming evidence

One of the greatest dangers in political reasoning is looking only for evidence that confirms what we already believe.

Instead, deliberately search for information that could prove your conclusion wrong.

Ask:

What would I expect to see if my belief were false?

Then look for it.

If your conclusion survives a serious attempt to disprove it, your confidence in that conclusion can reasonably increase.

9. Distinguish evidence from repetition

A claim does not become true merely because many people repeat it.

Ten commentators repeating the same unsupported claim do not necessarily provide ten independent pieces of evidence. They may all be repeating the same original error.

Whenever possible, trace important claims back toward their original evidence.

10. Reach your own conclusion

After examining the evidence, opposing arguments, and relevant perspectives, reach your own conclusion.

Do not blindly accept political beliefs because they come from a politician, news organization, friend, family member, teacher, social-media personality, political party, or any other authority.

Authority can be useful. Expertise matters. Reliable institutions deserve consideration. But accepting a statement solely because an authority said it is different from understanding the evidence that makes the statement credible.

The educated mind does not ask only:

"Who told me this?"

It also asks:

"What reason do I have to believe it?"


The Principle of Proportional Confidence

There is another principle that I believe should be added to the acceptance of knowledge in politics:

The strength of our belief should correspond to the strength of the evidence.

This protects us from two opposite mistakes.

The first is blind certainty: believing something strongly despite weak evidence.

The second is excessive skepticism: refusing to accept anything even when the evidence is overwhelming.

Neither is a good method of discovering truth.

If a claim has little evidence, we should have little confidence in it.

If a claim has substantial evidence, we can have greater confidence.

If the evidence is overwhelming and independently verified, very high confidence may be justified.

And if credible evidence contradicts something we previously believed, we should be willing to change our minds.

Changing one's mind in response to good evidence is not a sign of weakness. It is a sign that the process of reasoning is working.


Do Not Turn Politics Into a Battle of Sources

One of the greatest mistakes we can make is to reduce political reasoning to a competition between media organizations.

A person says, "My source says this."

Another person says, "My source says the opposite."

At that point, the disagreement can become a battle over which source deserves loyalty rather than an investigation into what actually happened.

The better question is:

What evidence do these sources have, and which interpretation is better supported by that evidence?

This is why I encourage people not merely to watch political news but to read, investigate, compare, and examine original evidence.

Television and online video can be useful ways to learn that something has happened, but reading allows us to slow down, examine the exact language being used, return to important passages, compare sources, and investigate evidence at our own pace.

The goal should not be to consume more political information.

The goal should be to understand political information more accurately.


Do Not Let Politics Choose Your Conclusions for You

Political parties, politicians, media organizations, commentators, social-media personalities, friends, and family can all influence the way we understand the world.

There is nothing inherently wrong with listening to these people. The danger begins when we allow them to do our thinking for us.

If a politician makes an argument, examine it.

If a news organization makes an argument, examine it.

If someone from the opposing political side makes an argument, examine that too.

And if someone on our own side makes an argument that is poorly supported, we should be willing to recognize that as well.

A truly educated political opinion should be capable of surviving scrutiny from both sides.


Know Who You Are Voting For

Political participation requires more than recognizing a person's name, political party, race, gender, or campaign image.

Before voting for a candidate, we should make an effort to understand who that person is, what they have previously done, what they believe, what policies they support, what they have promised to do, and what evidence exists concerning their qualifications and record.

A candidate's identity should not substitute for an examination of their ideas and qualifications.

Nor should a candidate's political party substitute for an examination of the individual candidate.

The fundamental question should be:

Why should I trust this person with political power?

The answer should be based on evidence, qualifications, character, past conduct, political positions, and the candidate's demonstrated ability to fulfill the responsibilities of the office—not merely on the group with which the candidate identifies.


A Model for the Educated Political Mind

The acceptance of knowledge in politics can therefore be summarized as a continuing process:

1. Identify the claim.

What exactly am I being told?

2. Determine what kind of claim it is.

Is it a fact, interpretation, prediction, value judgment, or proposal?

3. Examine the evidence.

What evidence supports it?

4. Examine the original sources when possible.

Can I verify the claim from primary evidence?

5. Read laterally.

What do other credible sources say about the source and its claims?

6. Consider opposing perspectives.

What is the strongest argument against my current position?

7. Search for disconfirming evidence.

What information could prove me wrong?

8. Examine incentives and persuasion.

Is someone trying to inform me, persuade me, frighten me, anger me, entertain me, or gain something from my belief?

9. Compare the evidence.

Which explanation is best supported?

10. Assign confidence proportionally.

How certain should I be given the quality of the evidence?

11. Reach an independent conclusion.

What do I believe after examining the evidence rather than merely following an authority?

12. Remain open to revision.

What new evidence could change my conclusion?

This is not a demand that every citizen become a political scientist. It is a practical method for ordinary people who want to make better decisions about the information they encounter every day.


The Purpose of Political Knowledge

The purpose of this model is not to make everyone agree.

A society can contain reasonable disagreements because people can interpret evidence differently, prioritize different values, and have different predictions about the consequences of political decisions.

The purpose is something more fundamental:

We should strive to make our political beliefs the product of investigation rather than mere inheritance, repetition, loyalty, or emotion.

We should be able to say not merely, "I believe this because my political side believes it," but:

"I believe this because I examined the evidence, considered the alternatives, attempted to find reasons I might be wrong, and reached the conclusion that is best supported by what I know."

That is a more powerful form of political independence.

The educated political mind is not the mind that knows everything. It is the mind that remains willing to investigate.

It does not blindly trust.

It does not blindly distrust.

It does not automatically accept the information presented by one side, nor does it automatically reject information presented by the other.

It seeks the larger picture.

It examines the evidence.

It questions its own assumptions.

And above all, it remains willing to change its conclusions when the truth demands it.

For a complete theory on what knowledge we can easily accept and what knowledge is questionable and therefore up for consideration, check out the following theory:

"If we measure truth by it's existence, then we will know the truth."
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Re-evaluating Current Knowledge in Science Using the Scientific Method

 

Science is founded upon the continual examination, testing, and re-evaluation of knowledge. For this reason, scientists should remain willing to critically examine the existing body of scientific knowledge and distinguish between conclusions that are strongly supported by reproducible evidence and claims that remain uncertain, provisional, speculative, or open to further investigation. Scientific knowledge should not be protected from scrutiny merely because it has become widely accepted. When evidence appears to contradict an established explanation, that evidence should be investigated carefully rather than disregarded.
 
A fundamental principle of scientific inquiry is that proposed explanations should be subjected to serious attempts at testing and potential falsification. Rather than seeking only evidence that supports a preferred explanation, scientists should investigate whether observations or experiments could demonstrate that an explanation is incomplete or incorrect. Contradictory evidence is therefore not something to be concealed or dismissed; it is an opportunity to improve our understanding of reality. A scientific explanation becomes more strongly supported when it repeatedly survives rigorous attempts to challenge it. At the same time, scientific conclusions remain open to revision when sufficiently strong new evidence becomes available.
 
This leads to an important question: What qualifies as scientific knowledge in the first place? Scientific knowledge should not be defined merely as information produced by a scientist, published in a scientific journal, or commonly described as “scientific.” Rather, scientific knowledge is knowledge obtained through the application of the scientific method. The authority of a source alone does not transform a claim into scientific knowledge. What matters is the process by which the knowledge was obtained and the evidence upon which it rests.
 
The scientific method is not limited to laboratory experimentation. Depending upon the subject being investigated, scientific knowledge may be obtained through systematic observation, measurement, experimentation, comparison, data analysis, modeling, and other forms of empirical investigation. Some phenomena can be directly manipulated and experimentally tested, while others can only be investigated through observations of their consequences. What unites these approaches is that they subject claims about the natural world to systematic empirical investigation and allow those claims to be evaluated against evidence.
 
This distinction is particularly important because not everything that is called “scientific knowledge” necessarily has the same evidentiary status. A claim may be scientifically informed without having been conclusively established. A hypothesis may provide a reasonable proposed explanation while remaining subject to further testing. A scientific theory, in contrast, is a broad explanatory framework that has accumulated substantial evidence and survived extensive testing; it is not simply an unproven guess. Nevertheless, individual propositions within a scientific theory can differ in how directly they are supported by evidence. Scientific explanations may also incorporate historical reconstruction, indirect evidence, mathematical models, and inferences about events that cannot be observed directly.
 
For example, scientific investigations of events in the distant past cannot ordinarily reproduce those events in a laboratory. Scientists instead examine present-day evidence and determine which explanations best account for the available observations. This does not make such investigations unscientific. Rather, it demonstrates that the scientific method can operate through different forms of empirical reasoning depending upon the nature of the question. The important consideration is whether the conclusions are derived from systematic evidence and whether the methods used allow those conclusions to be critically evaluated.
 
It is also important to distinguish between an observation that occurs once or intermittently and an occurrence that can be consistently observed and independently verified. A single observation may provide evidence that something occurred, but repeated observations, independent confirmation, and reproducible methods can provide substantially stronger grounds for determining whether an observation represents a reliable feature of the physical world. Reproducibility is therefore an important component of scientific inquiry, although not every scientific observation can be reproduced in precisely the same circumstances, particularly when investigating unique historical events or naturally occurring phenomena.
 
This distinction gives us a useful standard for evaluating claims presented as scientific knowledge. We should ask not only “What does science say?” but also “How was this conclusion established?” Was the claim derived from systematic observation or experimentation? What evidence supports it? Can the evidence be independently examined? Have alternative explanations been considered? Has the explanation survived serious attempts to challenge it? Are we dealing with a well-supported conclusion, a hypothesis under investigation, an interpretation of evidence, a model, or an assumption used to construct a broader explanation?
 
These questions do not require us to reject established scientific knowledge. On the contrary, they allow us to understand why some scientific conclusions deserve considerably greater confidence than others. The purpose is not to place every scientific claim on equal footing, but to recognize that the strength of our acceptance should correspond to the strength and nature of the evidence supporting the claim.
 
This principle is especially important when we encounter information that is described as “scientific” even though the scientific method was not actually used to obtain it. A statement does not become scientific knowledge merely because it uses scientific terminology, appears in a scientific context, or is presented by an authority. If a conclusion has not been established through an appropriate process of observation, measurement, testing, empirical analysis, or other recognized scientific methodology, then we should be cautious about classifying it as scientific knowledge. It may still be a reasonable proposition, an interpretation, a philosophical position, or an informed speculation, but those categories should not automatically be conflated with knowledge established through scientific inquiry.
 
Developing the ability to distinguish between well-supported scientific knowledge and knowledge that remains provisional or open to further consideration can enhance our understanding of reality. If we are to counter what I describe as the uncritical acceptance of knowledge—the acceptance of a claim without giving it serious consideration—we must be willing to examine even widely accepted conclusions. The classifications of knowledge and the methods for measuring the existence of knowledge defined in my Model for the Measurement of Existence in the Theory of Acceptance of Knowledge can provide a framework for applying this principle to scientific inquiry.
 
The objective is therefore not to reject established scientific knowledge simply because it is established, nor to treat unsupported alternatives as equally credible. Rather, the objective is to ensure that what we accept as scientific knowledge is proportional to the evidence and methodology through which it was established. By continually questioning, testing, independently examining, and re-evaluating our understanding, we preserve one of the most important principles of science: the willingness to change our conclusions when better evidence becomes available.
My name on StarCraft is Bacon.

 
England's Sir Francis Bacon (1561–1626) came up with the scientific method.

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The Measurement of Existence in the Theory of Acceptance of Knowledge

 

My work, The Measurement of Existence in the Theory of Acceptance of Knowledge, contains information that, if learned and understood, can be beneficial to various aspects of daily life. By reading and understanding my theory just once, you will equip yourselves with a more precise understanding of the truth of things. 

The truth of the existence of what we believe to exist should itself be examined. Before accepting a claim as knowledge, we can ask what evidence establishes that the thing, event, or phenomenon actually exists. The purpose of this examination is not necessarily to reject something simply because we have not personally observed it, but to determine what grounds we have for believing that it exists.
 
We acquire knowledge about the existence of things through several means. Direct observation is one of the most immediate ways in which we encounter evidence of existence, but our knowledge is not limited to what we personally observe. We also learn from the observations of other people, from testimony, from reasoning, and from methods designed to investigate things that cannot be directly observed. Therefore, the central question of the Measurement of Existence is not simply, “Did I observe this myself?” but rather, “What grounds do I have for accepting that this exists?” This distinction is important because much of what we ordinarily consider knowledge comes from sources beyond our own direct experience.


What Does the Mind Have Access To?

Our minds have direct access to observations obtained through our senses: sight, hearing, touch, smell, and taste. These observations provide information about the physical world as it appears to us. However, observation alone does not automatically make every conclusion drawn from an observation true. We can misunderstand what we observe or misremember it. Therefore, observations themselves should also be examined carefully.
 
Our minds also have access to internal states of consciousness, including our thoughts, emotions, feelings, memories, intentions, desires, sensations, mental images, imagination, and awareness of our own mental activity. Unlike information about the external world, which reaches the mind through sensory perception, these internal experiences are available through introspection and conscious awareness. The mind can therefore access both information about the world outside itself and experiences occurring within itself. However, access to an internal experience does not necessarily establish that the interpretation we give to that experience is correct. A memory can be inaccurate, an emotion can influence judgment, and a thought can be mistaken. These internal states can therefore provide information about our own consciousness while still requiring careful examination. Access to the external world, and the knowledge we acquire from observing it, is obtained through the senses. 
 
Knowledge that comes from sources other than our own direct observations requires a different form of evaluation. If another person tells us that something exists, we are relying on testimony. We may have good reasons to accept that testimony, such as the reliability, expertise, or direct experience of the person providing it. This does not mean that all testimony should be accepted or rejected automatically. Rather, testimony should be evaluated according to the evidence supporting it and the reliability of its source. In this sense, the acceptance of knowledge obtained from others involves an element of trust, but that trust can itself be examined. The philosophical study of testimony similarly examines when beliefs acquired from other people are justified and when they amount to knowledge.
 
Claims concerning entities or phenomena that cannot be observed through ordinary physical means require additional caution. In my model, mysticism refers to claims of knowledge concerning realities that are presented as accessible to the mind despite lacking an observable basis. Such claims should not automatically be accepted simply because they are experienced or asserted with confidence. The important question is what evidence exists for the claimed reality and whether the methods used to establish it can be independently examined.


The Classifications of Knowledge

The following classifications describe how my Theory of Acceptance of Knowledge evaluates different forms of knowledge according to their relationship to evidence and the existence of what they claim to describe.


Indisputable Knowledge

Knowledge that can be accepted with a particularly high degree of confidence within the framework of the Theory of Acceptance of Knowledge.


Observation-based Knowledge

Observation-based Knowledge is knowledge obtained through direct observation. It concerns information that is directly accessible to observation through the senses or through instruments that extend our ability to observe. Direct observation establishes that something was observed, although conclusions about what the observation means or what will occur in the future may require additional reasoning.


Scientific Knowledge

In this model, information is considered scientific knowledge only when it has been obtained through a systematic process of observation, hypothesis formation, experimentation or testing, analysis, and evaluation according to the scientific method. The defining characteristic of scientific knowledge is therefore not simply that the information concerns nature or is supported by evidence, but that the knowledge was obtained through the scientific method.

When the scientific method produces a result that can be independently tested and replicated under the appropriate conditions, the result provides evidence that the phenomenon being investigated exists and that the observed relationship is not merely the result of an isolated observation. Replication is therefore an important means of strengthening the acceptance of scientific knowledge.

Under this classification, a claim does not become scientific knowledge merely because it is stated by a scientist, appears in a scientific publication, uses statistics, or concerns a scientific subject. The method by which the knowledge was obtained is what determines whether it qualifies as scientific knowledge. This distinction is important because scientific terminology or the appearance of scientific research should not be confused with knowledge actually obtained through the scientific method.


Knowledge of the Only Possibility

If we know that something is the only possible explanation or outcome, then we can accept it as knowledge. When multiple possibilities initially exist, we can examine the available evidence and reasoning to determine whether the alternatives can be eliminated. If all other possibilities can be logically eliminated, the possibility that remains is the only possibility, and we can deduce it as the conclusion.

The process of eliminating alternative possibilities can vary depending on the situation. A possibility may be eliminated because it contradicts an observation, conflicts with an established fact, or is logically impossible. The strength of the conclusion therefore depends on whether all relevant alternatives have actually been considered and whether the reasoning used to eliminate them is sound.

When multiple possibilities remain and we cannot eliminate all but one, we should not claim that we have knowledge of the only possibility. Instead, we should acknowledge that multiple possibilities exist and evaluate the evidence supporting each one. In such cases, we may be able to determine that one possibility is more likely than another, but likelihood should be distinguished from knowing that something is the only possibility.


Questionable Knowledge

Knowledge or claims that require further consideration because their acceptance depends substantially on evidence, testimony, estimation, interpretation, or methods whose limitations must be examined.


Testimony-based Knowledge

Testimony-based Knowledge is knowledge received through the testimony of another person or source. We acquire an enormous amount of information through testimony because we cannot personally observe everything that we know about.

The acceptance of testimony should depend on factors such as the authenticity of the evidence supporting the testimony, the relevance and implications of that evidence, and the reliability and competence of the source providing the information. Testimony should therefore neither be automatically accepted nor automatically rejected. Its credibility should be evaluated according to the evidence available to us.

Testimony-based knowledge can include historical accounts, personal accounts, information provided by experts, and observations reported by other people. The fact that information is testimony-based does not make it false; rather, it means that the recipient must evaluate the grounds for accepting information that they did not personally observe.


Speculation-based Knowledge

Speculation-based Knowledge is knowledge or a claim based substantially on speculation, estimation, or incomplete information. Examples include estimates of numerical values when an exact measurement is unavailable.

Speculation can be useful when it is clearly identified as an estimate and is supported by a reasonable method and relevant evidence. The problem arises when an estimate or speculation is presented as though it were an established fact.

When evaluating speculation-based knowledge, two important questions should be asked:

  1. What method was used to produce the estimation or speculation?

  2. What evidence was used as the basis for it?

The strength of a speculative conclusion should correspond to the strength of the evidence supporting it.


Pseudo-scientific Knowledge

Pseudo-scientific Knowledge consists of claims that present themselves as scientific knowledge but are not adequately supported by scientific methods or standards of evidence. The mere use of scientific terminology, numerical data, experiments, or statistical information does not make a claim scientific.

The methods used to obtain the evidence should therefore be examined. If the methods do not adequately test the claim, fail to control for important alternative explanations, rely on unreliable measurements, or otherwise depart substantially from accepted scientific practices, the resulting claim may warrant classification as pseudo-scientific.


Statistical Knowledge

Statistical Knowledge is knowledge derived from the collection and analysis of statistical data. Statistical research can be scientifically rigorous and can provide extremely strong evidence. However, statistical results can be affected by problems such as fraud, miscounts, biased sampling, measurement errors, uncontrolled variables, inappropriate statistical methods, and selective analysis of data. Researchers can also unintentionally produce misleading conclusions through methodological choices. For example, stopping data collection when a desired result appears can increase the risk of obtaining a misleading result if the procedure was not planned appropriately in advance.

Therefore, statistical knowledge should be evaluated by examining how the data were collected, how the sample was selected, what variables were measured, what statistical methods were used, and whether the conclusions actually follow from the data. Statistical evidence should not automatically be considered unreliable, but neither should a statistical result be accepted merely because it is expressed numerically.


The Measurement of Existence

Observation-based Knowledge

A single observation, or even multiple observations, does not necessarily establish that something will continue to exist or occur in the future. We should distinguish between observing something and establishing a reliable pattern of its occurrence.

For example, a cat that appears in the same location every day for three weeks does not necessarily have to be there the next day. Our previous observations provide evidence that the cat has been there repeatedly, but they do not guarantee its future presence. The distinction becomes particularly important when the factor being observed is capable of changing its behavior or location.

Observation-based knowledge therefore establishes what has been observed, while predictions about what will happen in the future require additional reasoning. When a prediction depends on an inconsistent factor, past observations alone may not be sufficient to establish what the next observation will be.

There are also circumstances in which something that was directly observable to one person becomes testimony-based knowledge for someone else. If I personally observe an event and later tell another person what I observed, that person does not possess my direct observation. They possess my testimony about it. The epistemic status of the information has therefore changed from direct observation for the original observer to testimony for the recipient.


Knowledge of the Only Possibility

If we know that something is the only possibility, then we can accept it as indisputable knowledge. In other cases where there are multiple possible answers and all alternative possibilities can be eliminated through sound reasoning, the possibility that remains can be considered the only possibility. If the reasoning used to eliminate the alternatives is correct, the conclusion does not depend on estimating which possibility is merely more likely. Instead, the alternatives have been shown to be incompatible with the available information, leaving one remaining possibility.

The methods used to eliminate possibilities can vary according to the situation. A possibility may be eliminated because it contradicts an observation, violates a known fact, or produces a logical impossibility. The important feature is that the elimination of alternatives must itself have sufficient justification.

In situations involving testimony-based knowledge, speculation-based knowledge, or claims presented as pseudo-scientific knowledge, it may not be possible to eliminate every alternative. In such cases, it is more appropriate to distinguish between what is established and what is merely likely. We can describe possibilities as highly unlikely, somewhat unlikely, or highly likely when the available evidence supports such judgments, while recognizing that likelihood is different from certainty.

If multiple possibilities remain, we should accept that multiple possibilities remain. We should not force one possibility to become “the truth” merely because we prefer it or because a decision requires us to choose. Instead, we can evaluate the evidence supporting each possibility and make the best-informed judgment available. In this model, observation-based knowledge and knowledge of the only possibility are therefore distinguished from claims whose acceptance depends more heavily on testimony, speculation, or methods that have not established the same degree of certainty.


Testimony-based Knowledge

Testimony-based knowledge consists of information that we accept because it has been communicated to us by another person or source. This includes historical accounts, personal accounts, scientific information reported by researchers, information received from experts, and many other forms of information that we did not personally observe.

An educated evaluation of testimony should consider at least three things: the authenticity of the evidence supporting the information, the implications that the evidence has for the information being communicated, and the reliability of the source providing it. The credibility of the source matters because people can be mistaken, misinformed, biased, or dishonest. At the same time, testimony should not automatically be rejected simply because it is not personally observed. Much of human knowledge necessarily depends upon information received from others. Epistemology recognizes testimony as an important source of knowledge and asks precisely when reliance upon it is justified.

Testimony-based knowledge can include our knowledge of ancient and modern history, the history of the Earth, observations made by other people, personal accounts, and information communicated through written or spoken language. The fact that such knowledge is testimony-based does not necessarily make it false or unreliable. Rather, it means that its acceptance requires an evaluation of the testimony and the evidence behind it.


Speculation-based Knowledge

Speculation-based knowledge appears when we are asked to accept an estimation or conclusion despite having incomplete information. There are many circumstances in which estimation is necessary and useful, but an estimation should be identified as an estimation rather than presented as an established fact.

For example, suppose we are asked to determine the age of an ancient archaeological artifact when no method exists for determining its exact age. We may have enough evidence to produce an educated estimate, but we should recognize the difference between the estimated value and an exact measurement. The estimate may be highly accurate, but its accuracy should not be confused with certainty.

Two important questions should therefore be asked when examining speculation-based knowledge:

  1. What method was used to make the estimation?

  2. What evidence was used as the basis for the speculation?

These questions allow us to evaluate the quality of the reasoning rather than merely accepting the conclusion. Recognizing speculation as speculation is itself an important part of evaluating knowledge. An estimate can be useful without being certain, and uncertainty does not necessarily make an estimate worthless.


Pseudo-scientific Knowledge

Pseudo-scientific claims can lead us to believe that a trend or phenomenon exists when the evidence or methods used to establish the claim are inadequate. The most important factor in evaluating a scientific-looking claim is therefore not simply the conclusion that it produces, but the method used to produce it.


Statistical Knowledge

Statistical information can be useful for studying populations, estimating trends, and evaluating risks. However, statistical results are subject to limitations. Errors in measurement, biased sampling, inaccurate data, fraud, miscounts, confounding factors, and inappropriate statistical methods can all affect a conclusion. For this reason, statistical evidence should be examined in relation to how the data were collected and analyzed rather than accepted simply because a numerical result has been produced.

A study based on a sample of a population does not necessarily need to measure every member of that population to produce useful information. Properly designed statistical methods are specifically intended to draw conclusions about populations from samples while accounting for uncertainty. The problem therefore is not that a sample can never represent a population, but that conclusions can become unreliable when the sample, methodology, analysis, or interpretation is flawed.

For this reason, we should examine the methods used in a study and consider the vulnerabilities to error that may have affected its results. A study can provide useful evidence without establishing absolute certainty. The question is therefore not simply, “Is this study true?” but also, “What does the evidence actually establish, how strong is that evidence, and does it justify the conclusion being presented?”


Are Opinions Considered Truth?

An opinion should be distinguished from an objective fact. An opinion is generally an interpretation, evaluation, or judgment concerning something, rather than the existence of the thing itself. For example, the fact that a particular sound exists can be distinguished from a person's opinion about whether that sound is pleasant. The sound exists independently of whether someone likes it, while the person's evaluation of the sound depends upon their perception and judgment.

This distinction demonstrates why truth cannot always be reduced to whether someone believes something to be true. A person can sincerely believe something and still be mistaken. The purpose of the Measurement of Existence is therefore to examine the relationship between what is believed, what exists, and the evidence available for establishing that existence.

The central principle of this model can therefore be expressed as follows:

“If you measure truth by its existence, then you will know the truth.”

The purpose of the Measurement of Existence is not to claim that every truth can be directly observed by an individual. Rather, it is an attempt to establish a disciplined way of asking what grounds we have for accepting something as true. When direct observation is unavailable, we can examine testimony, evidence, reasoning, methodology, and the remaining possibilities. When several possibilities remain, we should acknowledge their existence as possibilities rather than pretending that uncertainty has disappeared.

In this way, the Theory of Acceptance of Knowledge seeks to distinguish between what is directly established, what can be established through reasoning, what is accepted through testimony, and what remains speculative. The measurement of existence is ultimately an effort to make our acceptance of knowledge correspond as closely as possible to what the evidence allows us to conclude.

 


You should introduce Nir Hazon's Model for The Measurement of Existence  in the Theory of Acceptance of Knowledge in mandatory curriculum for schools.🏫
 
This model is to be applied to all teachings universally.
Knowledge of knowledge.
© 2026 Hazon, Nir

 

 

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A Model for the Classifications of Knowledge

The Classifications of Knowledge

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The Theory of Acceptance of Knowledge 

by Nir Hazon 

When knowledge is viewed through the distinction between absolute facts and beliefs, greater clarity can be attained. These two categories provide a fundamental classification of knowledge into what can be regarded as indisputable and what remains subject to question. Within them, additional subcategories of knowledge can be placed according to the manner in which they are obtained and the degree of certainty they provide. For example, knowledge acquired through direct observation belongs to the category of absolute facts (Indisputable Knowledge), whereas knowledge obtained through testimony belongs to the category of beliefs (Questionable Knowledge). A claim of certainty can therefore be justified only when knowledge is obtained through direct observation or when the known fact is established as the only possibility.

Serious consideration should be given to knowledge before we choose to accept it. By distinguishing between knowledge that can be readily accepted and knowledge that remains subject to further consideration, we can make more deliberate judgments about what we regard as true. The following is a classification of the types of knowledge that exist within the Theory of Acceptance of Knowledge. By viewing knowledge through this framework, we can more clearly determine which forms of knowledge warrant acceptance and which should remain open to question.


The Classifications of Knowledge

The following classifications describe how my Theory of Acceptance of Knowledge evaluates different forms of knowledge according to their relationship to evidence and the existence of what they claim to describe.


Indisputable Knowledge

Knowledge that can be accepted with a particularly high degree of confidence within the framework of the Theory of Acceptance of Knowledge.


Observation-based Knowledge

Observation-based Knowledge is knowledge obtained through direct observation. It concerns information that is directly accessible to observation through the senses or through instruments that extend our ability to observe. Direct observation establishes that something was observed, although conclusions about what the observation means or what will occur in the future may require additional reasoning.


Scientific Knowledge

In this model, information is considered scientific knowledge only when it has been obtained through a systematic process of observation, hypothesis formation, experimentation or testing, analysis, and evaluation according to the scientific method. The defining characteristic of scientific knowledge is therefore not simply that the information concerns nature or is supported by evidence, but that the knowledge was obtained through the scientific method.

When the scientific method produces a result that can be independently tested and replicated under the appropriate conditions, the result provides evidence that the phenomenon being investigated exists and that the observed relationship is not merely the result of an isolated observation. Replication is therefore an important means of strengthening the acceptance of scientific knowledge.

Under this classification, a claim does not become scientific knowledge merely because it is stated by a scientist, appears in a scientific publication, uses statistics, or concerns a scientific subject. The method by which the knowledge was obtained is what determines whether it qualifies as scientific knowledge. This distinction is important because scientific terminology or the appearance of scientific research should not be confused with knowledge actually obtained through the scientific method.


Knowledge of the Only Possibility

If we know that something is the only possible explanation or outcome, then we can accept it as knowledge. When multiple possibilities initially exist, we can examine the available evidence and reasoning to determine whether the alternatives can be eliminated. If all other possibilities can be logically eliminated, the possibility that remains is the only possibility, and we can deduce it as the conclusion.

The process of eliminating alternative possibilities can vary depending on the situation. A possibility may be eliminated because it contradicts an observation, conflicts with an established fact, or is logically impossible. The strength of the conclusion therefore depends on whether all relevant alternatives have actually been considered and whether the reasoning used to eliminate them is sound.

When multiple possibilities remain and we cannot eliminate all but one, we should not claim that we have knowledge of the only possibility. Instead, we should acknowledge that multiple possibilities exist and evaluate the evidence supporting each one. In such cases, we may be able to determine that one possibility is more likely than another, but likelihood should be distinguished from knowing that something is the only possibility.


Questionable Knowledge

Knowledge or claims that require further consideration because their acceptance depends substantially on evidence, testimony, estimation, interpretation, or methods whose limitations must be examined.


Testimony-based Knowledge

Testimony-based Knowledge is knowledge received through the testimony of another person or source. We acquire an enormous amount of information through testimony because we cannot personally observe everything that we know about.

The acceptance of testimony should depend on factors such as the authenticity of the evidence supporting the testimony, the relevance and implications of that evidence, and the reliability and competence of the source providing the information. Testimony should therefore neither be automatically accepted nor automatically rejected. Its credibility should be evaluated according to the evidence available to us.

Testimony-based knowledge can include historical accounts, personal accounts, information provided by experts, and observations reported by other people. The fact that information is testimony-based does not make it false; rather, it means that the recipient must evaluate the grounds for accepting information that they did not personally observe.


Speculation-based Knowledge

Speculation-based Knowledge is knowledge or a claim based substantially on speculation, estimation, or incomplete information. Examples include estimates of numerical values when an exact measurement is unavailable.

Speculation can be useful when it is clearly identified as an estimate and is supported by a reasonable method and relevant evidence. The problem arises when an estimate or speculation is presented as though it were an established fact.

When evaluating speculation-based knowledge, two important questions should be asked:

  1. What method was used to produce the estimation or speculation?

  2. What evidence was used as the basis for it?

The strength of a speculative conclusion should correspond to the strength of the evidence supporting it.


Pseudo-scientific Knowledge

Pseudo-scientific Knowledge consists of claims that present themselves as scientific knowledge but are not adequately supported by scientific methods or standards of evidence. The mere use of scientific terminology, numerical data, experiments, or statistical information does not make a claim scientific.

The methods used to obtain the evidence should therefore be examined. If the methods do not adequately test the claim, fail to control for important alternative explanations, rely on unreliable measurements, or otherwise depart substantially from accepted scientific practices, the resulting claim may warrant classification as pseudo-scientific.


Statistical Knowledge

Statistical Knowledge is knowledge derived from the collection and analysis of statistical data. Statistical research can be scientifically rigorous and can provide extremely strong evidence. However, statistical results can be affected by problems such as fraud, miscounts, biased sampling, measurement errors, uncontrolled variables, inappropriate statistical methods, and selective analysis of data. Researchers can also unintentionally produce misleading conclusions through methodological choices. For example, stopping data collection when a desired result appears can increase the risk of obtaining a misleading result if the procedure was not planned appropriately in advance.

Therefore, statistical knowledge should be evaluated by examining how the data were collected, how the sample was selected, what variables were measured, what statistical methods were used, and whether the conclusions actually follow from the data. Statistical evidence should not automatically be considered unreliable, but neither should a statistical result be accepted merely because it is expressed numerically.


 Are Opinions Considered Truth?
An opinion should be distinguished from an objective fact. An opinion is generally an interpretation, evaluation, or judgment concerning something, rather than the existence of the thing itself. For example, the fact that a particular sound exists can be distinguished from a person's opinion about whether that sound is pleasant. The sound exists independently of whether someone likes it, while the person's evaluation of the sound depends upon their perception and judgment.


  
You should introduce my model for the Classifications of Knowledge in mandatory curriculum for schools. 🏫
This model is to be applied to all teachings universally.
 
"If we measure truth by it's existence, then we will know the truth."
Click the following link to view:
 
Knowledge of knowledge.
© 2021 Hazon, Nir 

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-Nir Hazon, a serious philosopher.

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