ElShamah - Reason & Science: Defending ID and the Christian Worldview
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ElShamah - Reason & Science: Defending ID and the Christian Worldview

Welcome to my library—a curated collection of research and original arguments exploring why I believe Christianity, creationism, and Intelligent Design offer the most compelling explanations for our origins. Otangelo Grasso


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BAYESIAN PROBABILITY AND SCIENCE

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1BAYESIAN PROBABILITY AND SCIENCE Empty BAYESIAN PROBABILITY AND SCIENCE Fri Sep 21, 2018 4:27 am

Otangelo


Admin

BAYESIAN PROBABILITY AND SCIENCE

https://reasonandscience.catsboard.com/t2721-bayesian-probability-and-science

Demand: All you have, is a great opinion, no evidence or proofs. Just an opinion, not fact.
Reply:  Proofs exist only in mathematics and logic, not in science.  Atheists repeatedly claim that a solid view or position, in order to be acceptable and valid, must be capable in principle of being empirically verified. The inadequacy of this epistemological approach led to the complete collapse amongst philosophers of science during the second half of the twentieth century, helping to spark a revival of interest in Metaphysics. Today’s Flew’s sort of challenge, which loomed so large in mid-century discussions, is scarcely a blip on the philosophical radar screen. Asking for 100 percent,  to truly know what occurred in the past is unrealistic. We believe lots of things with confidence even though we do not have absolute certainty. It is up to logic and the factors of different lines of evidence to determine what causes best to explain our origins.  Every worldview, without exception, is a faith-based belief system, consisting of a set of statements the holder adopts as being true. Starting from this view, we can dispense with the foolish notion of "proof," as some are so quick to require. Instead of "proof" in the absolute sense, we proceed with examining the available evidence, which should point with confidence to the worldview that best accounts for that evidence.

Science provides us with evidence. Based on it, we can make post-dictions in regard to the past.  Historical sciences cannot go back with a time-machine and observe what happened back in the past. As such, abiogenesis, and macroevolution ( primary speciation ) cannot be demonstrated in as much as ID/creationism. This is not a dispute between religion and science, but good interpretations of the scientific evidence, and inadequate interpretations, which do eventually not fit well the data.

… we can never have perfectly clean-cut knowledge of anything. It is a general consequence of the approximate character of all measurement that no empirical science can ever make exact statements.
P. W. Bridgman; (1882-1961); The Logic of Modern Physics; 1927/1951; p33, 34

A typical epistemological lack of understanding common to atheists is how to setup a correct methodology to find the best answers in regards of origins and reality, and to assume that given further investigations, science will or can discover with absolute certainty and tell us what has happened in the past. The truth is, science is limited in that it does not grant absolute truth, but only yields degrees of probability or likelihood. Asking theists to prove that there is a God is silly.

Science isn’t in the business of proving things. Rather, science judges the merits of competing models in terms of their simplicity, clarity, comprehensiveness, and fit to the data.

Science observes the Universe, records evidence, and strives to draw conclusions about what has happened in the past, is happening now, and what will potentially happen in the future, given the current state of scientific knowledge—which is often times woefully incomplete, and even inaccurate. The late, prominent evolutionist George Gaylord Simpson discussed the nature of science and probability several years ago in the classic textbook, Life: An Introduction to Biology, stating:

We speak in terms of “acceptance,” “confidence,” and “probability,” not “proof.” If by proof is meant the establishment of eternal and absolute truth, open to no possible exception or modification, then proof has no place in the natural sciences.

https://reasonandscience.catsboard.com/t2721-bayesian-probability-and-science

Luke A. Barnes writes:
Theory testing in the physical sciences has been revolutionized in recent decades by Bayesian approaches to probability theory.
Wiki: Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability of a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law.  .......and......... historical sciences, including intelligent design theory which tries to explain how most probably past events occurred. That is similar to abductive reasoning :
Wiki: Abductive reasoning is a form of logical inference which goes from an observation to a theory which accounts for the observation, ideally seeking to find the simplest and most likely explanation. In abductive reasoning, unlike in deductive reasoning, the premises do not guarantee the conclusion. One can understand the abductive reasoning as "instant-deduction to the best explanation". 3

No one can know with absolute certainty that the design hypothesis is false.  It follows from the absence of absolute knowledge, that each person should be willing to accept at least the possibility that the design hypothesis is correct, however remote that possibility might seem to him.  Once a person makes that concession, as every honest person must, the game is up.  The question is no longer whether ID is science or non-science.  The question is whether the search for the truth of the matter about the natural world should be structurally biased against a possibly true hypothesis. 4

For, we did not – and cannot -- directly observe the remote past, so origins science theories are in the end attempted “historical” reconstructions of what we think the past may have been like. Such reconstructions are based on investigating which of the possible explanations seems "best" to us on balance in light of the evidence. However, to censor out a class of possible explanations ahead of time through imposing materialism plainly undermines the integrity of this abductive method.

Methodological naturalism is the label for the required assumption of philosophical naturalism when working with the scientific method. Methodological naturalists limit their scientific research to the study of natural causes, because any attempts to define causal relationships with the supernatural are never fruitful, and result in the creation of scientific "dead ends" and God of the gaps-type hypotheses. To avoid these traps scientists assume that all causes are empirical and naturalistic; which means they can be measured, quantified and studied methodically. 5

The first difference is that historical study is a matter of probability. Any and all historical theories are supported by evidence that is not deductive in nature. We might consider them to be inferences to the best explanation, or Bayesian probabilities but they cannot be deductions. historical theories are not based on experiments, – repeatable or otherwise – nor are historical theories subject to empirical verification. The evidence for a historical theory may be empirical, but the theory itself is not. These differences mean that one cannot simply treat science and history as similar disciplines. 6

Stephen Meyer writes:
Studies in the philosophy of science show that successful explanations in historical sciences such as evolutionary biology need to provide “causally adequate” explanations—that is, explanations that cite a cause or mechanism
capable of producing the effect in question. In On the Origin of Species, Darwin repeatedly attempted to show that his theory satisfied this criterion, which was then called the vera causa (or “true cause”) criterion. In the third chapter of the Origin, for example, he sought to demonstrate the causal adequacy of natural selection by drawing analogies between it and the power of animal breeding and by extrapolating from observed instances of small-scale evolutionary change over short periods of time. 7


The main problem with Darwinism is that it is an all-encompassing HISTORICAL hypothesis. Common ancestry, and primary speciation/macroevolution cannot be empirically tested. It seeks to answer questions about the origin of life forms by interpreting information about contemporary life-forms and  fossils in order to extrapolate all the way back to the origin of life on Earth. The primary issue involved is whether or not current life (processes and structures) and the extant artifacts of past life are BETTER or MORE ADEQUATELY explained due to naturalistic evolutionary mechanisms and functions and extrapolation of physics/chemistry vs.  Intelligence having acted to originate biodiversity. Both options require almost entirely interpretation and extrapolation from the available data, and when these are present in greater vs. lesser measure, it's important to take into account just how far from the data such interpretation and extrapolation actually lies.

The best science and the most reliable hypotheses are those which lie closest to the data, which explain the data in the most adequate manner,  with the least amount of fudging or guesswork. It's fair to say that, given enough data accumulation, the scientific method itself can decide the fate of naturalistic explanations for the origin of life and biodiversity. The point has already been reached where Darwinism is demonstrably inadequate to explain the available data and will only grow more and more distant from it as time goes on. The reason for this?—the proliferation of data which Darwinism simply doesn't/can't explain.

The old fallback that 'Darwinism is the best explanation science has, since all supernatural explanations—e.g., creation of life by God's intervention in the natural world—are automatically ruled out-of-bounds' is  invalid. One reason is that any historical theory requires extrapolation from extant evidence and is, by definition, non-repeatable. Other scientific disciplines than biology do deal with historical theories—e.g., cosmogony of the Solar System, forensics, archaeology—and proceed similarly, and so all historical events would theoretically  automatically be invalid objects of scientific inquiry; Historical theorizing has inherent limitations that, say, chemistry—which is repeatable in a laboratory setting at any point in time—transcends. Chemistry is therefore closer to its own data than is, say, paleontology.

There's an additional problem: The same, physical universe in which we humans observe nature also contains various artifacts of supernatural intervention, and so the assumption that the natural world is somehow entirely independent of any knowable supernatural intervention is not necessarily true. For example,  Christians can be aware of informational artifacts contained within the text of the Bible which defy naturalistic explanation; these are in the areas of correct/detailed scientific/medical information before humans could have acquired it themselves via science, 100% accurate and detailed prophetic information, and historical information of various kinds that has been confirmed as true by achaeology. Yet another problem is that the central figure of Christianity—Jesus of Nazareth—was born, lived and breathed and walked, and died/rose again within the same observable world and the same flow of human history in which science and the scientific method operate. We know when and where he lived, many of the things he said and taught, and have the testimonies of contemporary eyewitnesses regarding his supernatural interventions in the natural world. As historians have pointed out, those keen to dismiss this kind of evidence with the quick wave of a philosophically inclined hand are simply not dealing validly with the historiographical evidence of Jesus' life.

Science, based on philosophical and methodological naturalism may philosophically reject historical records of supernatural intervention in the observable world, but in the strictest scientific sense they cannot forever disregard such records and the evidence which bears them out. To metaphorize the situation: God has intervened in the observable world in very tangible ways and, in so doing, has left behind striking artifactual 'fingerprints.' Some of those fingerprints are remarkable indeed, and all of them are just as tangibly present in our universe as are its other physical and information elements which, for the sake of convenience and discussion, we like to characterize as 'natural.' However, linguistic/conceptual categorizations are far less important to the actualization of the scientific method than is the stubborn, raw data itself.

2. http://www.apologeticspress.org/APContent.aspx?category=12&article=3726
3. https://arxiv.org/pdf/1704.01680.pdf
4. http://iose-gen.blogspot.com.br/2010/06/introduction-and-summary.html#methnat
5. http://rationalwiki.org/wiki/Methodological_naturalism
6. http://simplyphilosophy.org/methodological-naturalism-science-and-history/
7. Darwin's Doubt pg.162:



Last edited by Otangelo on Fri Nov 12, 2021 10:10 am; edited 13 times in total

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2BAYESIAN PROBABILITY AND SCIENCE Empty Comparing worldviews Fri Dec 07, 2018 10:59 am

Otangelo


Admin

Comparing worldviews

Any worldview is limited in that it does not grant absolute truth, but only yields degrees of probability or likelihood. Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability of a hypothesis as more evidence or information becomes available. Bayesian inference has found application in a wide range of activities, including science, theology, and philosophy. After careful examination, all we can do is come to instant-deduction to the best explanation. Intelligent Design, for example, can be tested using scientific logic.  How? Upon the logic of mutual exclusion, design and non-design are mutually exclusive (it was one or the other) so we can use eliminative logic: if non-design is highly improbable, then design is highly probable.  Thus, evidence against non-design (against production of a feature by undirected natural process) is evidence for design. Both sides need causally adequate” explanations—that is, explanations that cite a cause or mechanism capable of producing the effect in question. 

Either there is a God - creator and causal agency of the universe, or not. God either exists or he doesn’t, and there is no halfway house. These are the only two possible explanations. Upon the logic of mutual exclusion, they are mutually exclusive (it was one or the other) so we can use eliminative logic: if no God is highly improbable, then the existence of God is highly probable.

Naturalism:
- Multiverse
- Virtual particles
- Big Bang
- Accretion theory
- Abiogenesis
- Common ancestry
- Evolution

Theism:
- Transcendent eternal God/Creator
- created the universe and stretched it out
- Created the Galaxies, Stars, Planets, the earth, and the moon
- Created life in all its variants and forms
- Created man and woman as special creation, upon his own image
- Theology and philosophy: Both lead to an eternal, self-existent, omnipresent transcendent, conscious, intelligent, personal and moral Creator.
- The Bible: The Old Testament is a catalogue of fulfilled prophecies of Jesus Christ, and his mission, death, and resurrection foretold with specificity.
- Archaeology: Demonstrates that all events described in the Bible are historical facts. 
- History: Historical evidence reveals that Jesus Christ really did come to this earth, and really did physically rise from the dead
- The Bible's witnesses: There are many testimonies of Jesus doing miracles still today, and Jesus appearing to people all over the globe, still today.
- End times: The signs of the end times that were foretold in the Bible are occuring in front of our eyes. New world order, microchip implant etc.
- After-life experiences: Credible witnesses have seen the afterlife and have come back and reported to us that the afterlife is real.

1. If the weight of the Christian worldview is making sense above 50 % compared to atheism, 
    or any different religion, then it is rational to believe in Christ, and commit living as a Christian.
2. Christianity has at least a 50 % chance of being true.
3Therefore, it is rational to commit to live as a Christian.



Last edited by Admin on Sun Jan 20, 2019 3:11 pm; edited 8 times in total

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3BAYESIAN PROBABILITY AND SCIENCE Empty BAYESIAN PROBABILITY AND SCIENCE Fri Jan 11, 2019 2:44 pm

Otangelo


Admin

BAYESIAN PROBABILITY AND SCIENCE

https://reasonandscience.catsboard.com/t2721-bayesian-probability-and-science#6430

Claim: Religion is a matter of personal faith and requires no proof. Science on the other hand, devoted to scientific questions. If Gods existence cannot be proven, such questions belong to Religion, not science. On the other hand, evolution is a scientific theory, and a fact.  A scientific theory is an established body of knowledge about a certain subject, supported by observable facts, repeatable experiments, and logical reasoning.
Answer:  Science has little to do with “proving” anything. 1 Mathematicians prove things, and this means something quite specific. Mathematicians lay out a particular set of ground rules, known as axioms, and determine which statements are true within the framework.

Many, but not all, rely on a particular approach to this known as Bayesian reasoning to incorporate observational and experimental evidence into what we know and to update our belief in a particular description of the universe. So, science is like an ongoing courtroom drama, with a continual stream of evidence being presented to the jury. But there is no single suspect and new suspects regularly wheeled in. In light of the growing evidence, the jury is constantly updating its view of who is responsible for the data.

But no verdict of absolute guilt or innocence is ever returned, as evidence is continually gathered and more suspects are paraded in front of the court. All the jury can do is decide that one suspect is more guilty than another.

What has science proved?
In the mathematical sense, despite all the years of researching the way the universe works, science has proved nothing. Richard Feynman, on what being a scientist is all about:
I have approximate answers and possible beliefs in different degrees of certainty about different things, but I’m not absolutely sure of anything.

"There is no such thing as proof."
Jack Fraser, Master's Physics, University of Oxford

In the scientific realm, doubt abound. Even the simple observation of two people sat in a room with your own eyes would be accepted as “proof”  in science — !

“Proof” implies that there is no room for error — that you can be 100% sure that what you have written down on the piece of paper is 100% representative of what you are talking about. And quite simply, that doesn’t exist in the real world.

I cannot prove to you that electrons exist.

No number of scientists in the world can ever prove that the stars are far away, or that the Higg’s Boson exists — or even that the Earth is round (but shh, don’t tell the Flat Earthers that!)

Nobody can prove that things will always fall down when you drop them.

Nobody can prove that energy is conserved.

Nobody can prove that dark matter exists.

Nobody can prove that quantum physics is real.

Because that’s not what science is about.

Proof can only exist when there is no doubt, and there is always doubt. You could be a brain in a vat, living in a crazy simulation. You could be hallucinating everything.

You cannot prove anything.

So, what is to be done?

Well, either you can sit down and just accept that the world is a chaotic insane place, and that since you cannot prove anything about reality, there’s really no point trying.

Or...

You can gather evidence.

That evidence will never be 100% — there’s always the chance that everything you think you know turns out to be false — but the evidence allows you to make current-best-evidence-guesses (for want of a better term) about the behavior of the universe.

We can build up piles and piles of evidence for ideas.

When the pile reaches a certain height, it behoves us to begin to take it rather seriously.

That is, until someone removes a critical piece from the bottom of the pile, and the entire edifice comes crashing down.

Then what?

Well, you start a new pile. And you have another go. And another. And another.

So what’s the lesson?
All science is merely the current best model. Science is impermanent. It is, by definition, in constant flux.
You can never have 100% proof of anything. There will always be doubt.

1. https://theconversation.com/wheres-the-proof-in-science-there-is-none-30570
2. https://www.forbes.com/sites/quora/2017/12/14/theres-no-such-thing-as-proof-in-the-scientific-world-theres-only-evidence/#7163e1575392

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4BAYESIAN PROBABILITY AND SCIENCE Empty Re: BAYESIAN PROBABILITY AND SCIENCE Tue Apr 09, 2019 10:38 am

Otangelo


Admin

BAYESIAN PROBABILITY AND SCIENCE

A typical misconception about science is that it can tell us what will definitely happen now or in the future given enough time, or what would certainly have happened in the past, given enough time. The truth is, science is limited in that it does not grant absolute truth, but only yields degrees of probability or likelihood. 

Science isn’t in the business of proving things. Rather, science judges the merits of competing models in terms of their simplicity, clarity, comprehensiveness, and fit to the data.

Science observes the Universe, records evidence, and strives to draw conclusions about what has happened in the past, is happening now, and what will potentially happen in the future, given the current state of scientific knowledge—which is often times woefully incomplete, and even inaccurate. The late, prominent evolutionist George Gaylord Simpson discussed the nature of science and probability several years ago in the classic textbook, Life: An Introduction to Biology, stating:

We speak in terms of “acceptance,” “confidence,” and “probability,” not “proof.” If by proof is meant the establishment of eternal and absolute truth, open to no possible exception or modification, then proof has no place in the natural sciences.

Luke A. Barnes writes:
Theory testing in the physical sciences has been revolutionized in recent decades by Bayesian approaches to probability theory.
Wiki: Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability of a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law.  .......and......... historical sciences, including intelligent design theory which tries to explain how most probably past events occurred. That is similar to abductive reasoning :
Wiki: Abductive reasoning is a form of logical inference which goes from an observation to a theory which accounts for the observation, ideally seeking to find the simplest and most likely explanation. In abductive reasoning, unlike in deductive reasoning, the premises do not guarantee the conclusion. One can understand the abductive reasoning as "instant-deduction to the best explanation". 3

No one can know with absolute certainty that the design hypothesis is false.  It follows from the absence of absolute knowledge, that each person should be willing to accept at least the possibility that the design hypothesis is correct, however remote that possibility might seem to him.  Once a person makes that concession, as every honest person must, the game is up.  The question is no longer whether ID is science or non-science.  The question is whether the search for the truth of the matter about the natural world should be structurally biased against a possibly true hypothesis. 4

For, we did not – and cannot -- directly observe the remote past, so origins science theories are in the end attempted “historical” reconstructions of what we think the past may have been like. Such reconstructions are based on investigating which of the possible explanations seems "best" to us on balance in light of the evidence. However, to censor out a class of possible explanations ahead of time through imposing materialism plainly undermines the integrity of this abductive method.

Methodological naturalism is the label for the required assumption of philosophical naturalism when working with the scientific method. Methodological naturalists limit their scientific research to the study of natural causes, because any attempts to define causal relationships with the supernatural are never fruitful, and result in the creation of scientific "dead ends" and God of the gaps-type hypotheses. To avoid these traps scientists assume that all causes are empirical and naturalistic; which means they can be measured, quantified and studied methodically. 5

The first difference is that historical study is a matter of probability. Any and all historical theories are supported by evidence that is not deductive in nature. We might consider them to be inferences to the best explanation, or Bayesian probabilities but they cannot be deductions. historical theories are not based on experiments, – repeatable or otherwise – nor are historical theories subject to empirical verification. The evidence for a historical theory may be empirical, but the theory itself is not. These differences mean that one cannot simply treat science and history as similar disciplines. 6

Stephen Meyer writes: 
Studies in the philosophy of science show that successful explanations in historical sciences such as evolutionary biology need to provide “causally adequate” explanations—that is, explanations that cite a cause or mechanism
capable of producing the effect in question. In On the Origin of Species, Darwin repeatedly attempted to show that his theory satisfied this criterion, which was then called the vera causa (or “true cause”) criterion. In the third chapter of the Origin, for example, he sought to demonstrate the causal adequacy of natural selection by drawing analogies between it and the power of animal breeding and by extrapolating from observed instances of small-scale evolutionary change over short periods of time. 7

2. http://www.apologeticspress.org/APContent.aspx?category=12&article=3726
3. https://arxiv.org/pdf/1704.01680.pdf
4. http://iose-gen.blogspot.com.br/2010/06/introduction-and-summary.html#methnat
5. http://rationalwiki.org/wiki/Methodological_naturalism
6. http://simplyphilosophy.org/methodological-naturalism-science-and-history/
7. Darwin's Doubt pg.162:

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5BAYESIAN PROBABILITY AND SCIENCE Empty Re: BAYESIAN PROBABILITY AND SCIENCE Fri Oct 16, 2020 5:53 pm

Otangelo


Admin

Adapted from a post of David Campfield:
The main problem with Darwinism is that it is an all-encompassing HISTORICAL hypothesis. Common ancestry and primary speciation/macroevolution cannot be empirically tested. It seeks to answer questions about the origin of life forms by interpreting information about contemporary life-forms and fossils in order to extrapolate all the way back to the origin of life on Earth. The primary issue involved is whether or not current life (processes and structures) and the extant artifacts of past life are BETTER or MORE ADEQUATELY explained due to naturalistic evolutionary mechanisms and functions and extrapolation of physics/chemistry vs. Intelligence having acted to originate biodiversity. Both options require almost entirely interpretation and extrapolation from the available data, and when these are present in greater vs. lesser measure, it's important to take into account just how far from the data such interpretation and extrapolation actually lies.

The best science and the most reliable hypotheses are those which lie closest to the data, which explain the data in the most adequate manner, with the least amount of fudging or guesswork. It's fair to say that, given enough data accumulation, the scientific method itself can decide the fate of naturalistic explanations for the origin of life and biodiversity. The point has already been reached where Darwinism is demonstrably inadequate to explain the available data and will only grow more and more distant from it as time goes on. The reason for this?—the proliferation of data which Darwinism simply doesn't/can't explain.

The old fallback that 'Darwinism is the best explanation science has, since all supernatural explanations—e.g., creation of life by God's intervention in the natural world—are automatically ruled out-of-bounds' is invalid. One reason is that any historical theory requires extrapolation from extant evidence and is, by definition, non-repeatable. Other scientific disciplines than biology do deal with historical theories—e.g., cosmogony of the Solar System, forensics, archaeology—and proceed similarly, and so all historical events would theoretically automatically be invalid objects of scientific inquiry; Historical theorizing has inherent limitations that, say, chemistry—which is repeatable in a laboratory setting at any point in time—transcends. Chemistry is therefore closer to its own data than is, say, paleontology.

There's an additional problem: The same, physical universe in which we humans observe nature also contains various artifacts of supernatural intervention, and so the assumption that the natural world is somehow entirely independent of any knowable supernatural intervention is not necessarily true. For example, Christians can be aware of informational artifacts contained within the text of the Bible which defy naturalistic explanation; these are in the areas of correct/detailed scientific/medical information before humans could have acquired it themselves via science, 100% accurate and detailed prophetic information, and historical information of various kinds that has been confirmed as true by achaeology. Yet another problem is that the central figure of Christianity—Jesus of Nazareth—was born, lived and breathed and walked, and died/rose again within the same observable world and the same flow of human history in which science and the scientific method operate. We know when and where he lived, many of the things he said and taught, and have the testimonies of contemporary eyewitnesses regarding his supernatural interventions in the natural world. As historians have pointed out, those keen to dismiss this kind of evidence with the quick wave of a philosophically inclined hand are simply not dealing validly with the historiographical evidence of Jesus' life.

Science, based on philosophical and methodological naturalism may philosophically reject historical records of supernatural intervention in the observable world, but in the strictest scientific sense they cannot forever disregard such records and the evidence which bears them out. To metaphorize the situation: God has intervened in the observable world in very tangible ways and, in so doing, has left behind striking artifactual 'fingerprints.' Some of those fingerprints are remarkable indeed, and all of them are just as tangibly present in our universe as are its other physical and information elements which, for the sake of convenience and discussion, we like to characterize as 'natural.' However, linguistic/conceptual categorizations are far less important to the actualization of the scientific method than is the stubborn, raw data itself.

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6BAYESIAN PROBABILITY AND SCIENCE Empty Re: BAYESIAN PROBABILITY AND SCIENCE Sat Mar 25, 2023 6:26 am

Otangelo


Admin

You say the God hypothesis is beyond
The reach of science and its methods respond
Only to that which can be seen and measured,
To delusions and beliefs, they are a treasured
Filter, to keep our pursuit of knowledge pure
From superstitions and beliefs that obscure.

Proofs exist only in logic and math,
And dismissing faith-based worldviews, a foolish path.
Every belief system, a set of statements we hold
As true, evidence and logic help us unfold
What causes best explain our origins and fate,
Not absolute certainty, but a confident state.

Science provides us with evidence, it's true
And helps us make post-dictions of what we knew
Historical sciences can't go back in time,
But interpretations of evidence help us to climb
Toward the worldview that fits the data best,
Not absolute truth, but degrees of certainty at best.

Asking for proof in the absolute sense,
Is unrealistic, and a lack of understanding is immense,
Science doesn't grant us absolute truth,
Only competing models, are judged by simplicity and fit to the proof.
Science observes the universe, records the evidence,
And strives to draw conclusions based on scientific excellence.

So let us not dismiss the God hypothesis with ease,
For it too has its own set of beliefs and degrees,
Of probability and likelihood, based on faith and reason,
A pursuit of knowledge that transcends all seasons.
May we examine the evidence and draw our own conclusions,
And in our pursuit of truth, may we not be deluded by illusions.

BAYESIAN PROBABILITY AND SCIENCE 51991910

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7BAYESIAN PROBABILITY AND SCIENCE Empty Re: BAYESIAN PROBABILITY AND SCIENCE Wed Apr 17, 2024 8:17 am

Otangelo


Admin

Bayesian Probability and Science

Proofs exist only in mathematics and logic, not in science.  Atheists repeatedly claim that a solid view or position, to be acceptable and valid, must be capable in principle of being empirically verified. The inadequacy of this epistemological approach led to the complete collapse of philosophers of science during the second half of the twentieth century, helping to spark a revival of interest in Metaphysics. Today’s Flew’s sort of challenge, which loomed so large in mid-century discussions, is scarcely a blip on the philosophical radar screen. Asking for 100 percent,  to truly know what occurred in the past is unrealistic. We believe lots of things with confidence even though we do not have absolute certainty. It is up to logic and the factors of different lines of evidence to determine what causes best to explain our origins.  Every worldview, without exception, is a faith-based belief system, consisting of a set of statements the holder adopts as being true. Starting from this view, we can dispense with the foolish notion of "proof," as some are so quick to require. Instead of "proof" in the absolute sense, we proceed with examining the available evidence, which should point with confidence to the worldview that best accounts for that evidence.

Science provides us with evidence. Based on it, we can make post-dictions regarding the past.  Historical sciences cannot go back with a time machine and observe what happened back in the past. As such, abiogenesis, and macroevolution ( primary speciation ) cannot be demonstrated in as much as ID/creationism. This is not a dispute between religion and science, but good interpretations of the scientific evidence, and inadequate interpretations, which do eventually not fit well the data.

P. W. Bridgman; (1882-1961)… we can never have perfectly clean-cut knowledge of anything. It is a general consequence of the approximate character of all measurements that no empirical science can ever make exact statements. 3

Bayesian inference utilizes Bayes' theorem to refine the likelihood of a hypothesis with the addition of new evidence or information. This approach is a cornerstone of statistical analysis, particularly in the realm of mathematical statistics, playing a crucial role in the ongoing analysis of data sets. Its applications span various fields such as science, engineering, philosophy, medicine, sports, and law, extending even to historical sciences like intelligent design theory, which seeks to determine the most probable explanations for past events. This method bears similarities to abductive reasoning, a logical process that starts with an observation and seeks the simplest and most plausible theory to explain it. Unlike deductive reasoning, where conclusions are definitively drawn from premises, abductive reasoning involves forming the most logical inference without ensuring certainty, often described as making an "educated guess" towards the most sensible explanation.

A common epistemological challenge faced by atheists is understanding how to establish a proper methodology for uncovering truths about origins and reality. There's a tendency to believe that ongoing scientific inquiry will eventually uncover absolute truths about historical events. However, science inherently deals with varying degrees of likelihood rather than certainties. It's misguided to demand that theists provide definitive proof of a deity's existence, as science itself does not deal in absolutes but evaluates competing theories based on their simplicity, coherence, scope, and alignment with empirical data. Science is about observing the universe, gathering evidence, and making educated guesses about past, present, and future phenomena, acknowledging that current scientific understanding is often limited and subject to change. The esteemed evolutionist George Gaylord Simpson once highlighted this aspect in the renowned textbook, "Life: An Introduction to Biology," by emphasizing that science operates within the realms of "acceptance," "confidence," and "probability," rather than providing incontrovertible proof, as the pursuit of unalterable truth is not within the scope of natural sciences.

In recent years, Bayesian methods have significantly transformed how theories are tested in the physical sciences. Bayesian inference employs Bayes' theorem to refine the likelihood of a hypothesis with the incorporation of new data or evidence. This approach is a key tool in statistics and mathematical statistics, playing a crucial role in the sequential analysis of data sets. The versatility of Bayesian inference extends across numerous fields such as science, engineering, philosophy, medicine, sports, law, and even historical sciences like intelligent design theory, which seeks to ascertain the most plausible explanations for past events. This process bears resemblance to abductive reasoning, which involves forming a hypothesis to best explain observed phenomena. Unlike deductive reasoning, where conclusions are definitively drawn from premises, abductive reasoning involves making the most logical inference without ensuring certainty, often described as making an "educated guess" towards the most reasonable explanation.

The notion that the design hypothesis is definitively incorrect is beyond the realm of absolute certainty. Given the limitations of our absolute knowledge, it is reasonable to entertain the possibility, however slight, that the design hypothesis might hold some truth. Acknowledging this possibility is a crucial step for anyone committed to intellectual honesty. This acknowledgment shifts the debate from whether Intelligent Design (ID) qualifies as science to whether it is fair to exclude a potentially valid hypothesis from the quest for understanding the natural world. Since we cannot directly witness the distant past, the study of origins essentially involves piecing together historical narratives based on the most convincing explanations supported by available evidence. Prematurely excluding certain explanations based on materialism compromises the abductive approach, which seeks the best inference from observational data. Methodological naturalism, which demands adherence to natural explanations within scientific inquiry, serves as a safeguard against the pitfalls of attributing phenomena to supernatural causes. This stance helps avoid unproductive research avenues and "God of the gaps" arguments by focusing on causes that are observable, measurable, and analyzable within the natural world. It's important to differentiate between the methodologies of historical and scientific investigations. Historical hypotheses, unlike scientific ones, are not derived from deductive reasoning or experimental verification but are supported by probabilistic evidence and reasoned inferences. This distinction underscores the inherent differences between the disciplines of science and history, emphasizing that they should not be conflated.

The core challenge with Darwinian theory lies in its nature as a comprehensive historical proposition. It attempts to trace the lineage of all life forms back to their origins by interpreting present-day organisms and fossil records, making it difficult to conduct direct empirical tests on concepts like common ancestry and macroevolution. The crux of the debate centers on whether natural evolutionary processes or an intelligent cause better explains the complexity and diversity of life as we observe it today. This involves extensive interpretation and extrapolation from existing data, raising questions about the proximity of these theories to the hard evidence. The most robust scientific theories are those that remain closely aligned with empirical data, offering explanations that require minimal speculation. As more data accumulates, it becomes possible for the scientific method to evaluate the validity of naturalistic accounts for the origins of life and biodiversity. However, there's a growing consensus that Darwinian explanations are increasingly insufficient, struggling to account for a burgeoning body of data. The argument that Darwinism prevails by default, excluding supernatural explanations such as divine creation, is flawed. Historical sciences, including those outside biology like cosmology, forensics, and archaeology, also rely on extrapolating from existing evidence and are inherently non-repeatable. This is a fundamental limitation of historical scientific inquiry, contrasting with fields like chemistry, where experiments are replicable and theories can be directly tested against data. Thus, the validity of historical theories, including Darwinism, must be assessed with an understanding of their inherent distance from empirical evidence and the unique challenges they face.

An additional complexity arises from the observation that the same physical universe we study also bears traces of what some interpret as supernatural influences. This challenges the notion that the natural world operates entirely separate from any form of supernatural involvement. For instance, many Christians point to specific content within the Bible that seems to transcend naturalistic explanations, such as precociously accurate scientific or medical knowledge, prophetic insights that have been verified, and historical details corroborated by archaeological findings. Moreover, the life of Jesus Christ, a central figure in Christianity, intersects directly with the realm of observable history and the natural world, further complicating the divide between natural and supernatural. His life, teachings, and reported miracles are documented within the context of known historical timelines and locations, supported by eyewitness accounts. While science traditionally adheres to a framework of philosophical and methodological naturalism, dismissing supernatural accounts, this stance does not negate the existence of historical records that suggest supernatural occurrences. To use an analogy, if we consider the universe as a canvas, the suggestion is that divine interventions have left behind distinct 'fingerprints' that coexist with the physical and informational aspects we typically classify as 'natural.' The crux of scientific inquiry is not the linguistic labels we assign but the tangible data itself, which demands consideration regardless of its conventional categorization.

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