◉ A plain English walkthrough of the symbolic logic above.

  1. Two rival hypotheses are defined.
    • Hypothesis H_1: A God exists who actually answers prayers as the New Testament promises describe.
    • Hypothesis H_0: No such prayer-answering God exists; outcomes happen by natural chance.
  2. Scripture’s promises make bold predictions.
    The Bible says things like “whatever you ask will be given” and “everyone who asks receives.” If that’s literally true, then under H_1 we should see clear, measurable deviations from chance in response to prayer.
  3. Naturalism makes very different predictions.
    Under H_0, there is no divine causal mechanism, so prayer outcomes should match what chance alone would produce.
  4. What the evidence shows.
    Large-scale studies, sociological comparisons, and everyday experience reveal that prayer outcomes do not diverge from chance. People who pray do not heal faster, live longer, or succeed more often than those who don’t.
  5. Likelihood comparison.
    • If H_1 were true, the observed evidence (no measurable difference) would be very unlikely.
    • If H_0 were true, the observed evidence would be exactly what we expect.
      Therefore the likelihood ratio strongly favors H_0 over H_1.
  6. The conclusion.
    Because the world looks just like it would if no prayer-answering God exists, and very unlike what the New Testament promises predict, the evidence decisively favors H_0 (naturalism) over H_1 (theism).
  7. What about theological “rescue moves”?
    Believers sometimes explain away the failure by adding conditions—maybe the prayer lacked faith, or the timing was wrong, or it wasn’t God’s will. These stipulations make the hypothesis unfalsifiable, since any outcome could be explained. But once a claim is unfalsifiable, it no longer makes testable predictions and loses evidential weight.

Summary

The formal derivation compresses to a very simple story in plain English:
✓ If the New Testament promises were true, we would see obvious, measurable prayer effects.
✓ We don’t see them—prayer outcomes look like chance.
✓ That pattern is exactly what naturalism predicts.
✓ Therefore the evidence strongly favors naturalism over the claim of a prayer-answering God.


Recent posts

  • Alvin Plantinga’s “Warrant” isn’t an epistemic upgrade; it’s a design for inaccuracy. My formal proof demonstrates that maximizing the binary status of “knowledge” forces a cognitive system to be less accurate than one simply tracking evidence. We must eliminate “knowledge” as a rigorous concept, replacing it with credencing—the honest pursuit…

  • This article critiques the stark gap between the New Testament’s unequivocal promises of answered prayer and their empirical failure. It examines the theological “bait-and-switch” where bold pulpit guarantees of supernatural intervention are neutralized by “creative hermeneutics” in small groups, transforming literal promises into unfalsifiable, psychological coping mechanisms through evasive logic…

  • This article characterizes theology as a “floating fortress”—internally coherent but isolated from empirical reality. It details how specific theological claims regarding prayer, miracles, and scientific facts fail verification tests. The argument posits that theology survives only through evasion tactics like redefinition and metaphor, functioning as a self-contained simulation rather than…

  • This post applies parsimony (Occam’s Razor) to evaluate Christian Theism. It contrasts naturalism’s high “inductive density” with the precarious “stack of unverified assumptions” required for Christian belief, such as a disembodied mind and omni-attributes. It argues that ad hoc explanations for divine hiddenness further erode the probability of theistic claims,…

  • Modern apologists argue that religious belief is a rational map of evidence, likening it to scientific frameworks. However, a deeper analysis reveals a stark contrast. While science adapts to reality through empirical testing and falsifiability, theology insulates belief from contradictory evidence. The theological system absorbs anomalies instead of yielding to…

  • This post critiques the concept of “childlike faith” in religion, arguing that it promotes an uncritical acceptance of beliefs without evidence. It highlights that while children naturally trust authority figures, this lack of skepticism can lead to false beliefs. The author emphasizes the importance of cognitive maturity and predictive power…

  • This analysis examines the agonizing moral conflict presented by the explicit biblical command to slaughter Amalekite infants in 1 Samuel 15:3. Written from a skeptical, moral non-realist perspective, it rigorously deconstructs the various apologetic strategies employed to defend this divine directive as “good.” The post critiques common evasions, such as…

  • Modern Christian apologetics claims faith is based on evidence, but this is contradicted by practices within the faith. Children are encouraged to accept beliefs uncritically, while adults seeking evidence face discouragement. The community rewards conformity over inquiry, using moral obligations to stifle skepticism. Thus, the belief system prioritizes preservation over…

  • In the realm of Christian apologetics, few topics generate as much palpable discomfort as the Old Testament narratives depicting divinely ordered genocide. While many believers prefer to gloss over these passages, serious apologists feel compelled to defend them. They must reconcile a God described as “perfect love” with a deity…

  • This post examines various conditions Christians often attach to prayer promises, transforming them into unfalsifiable claims. It highlights how these ‘failsafe’ mechanisms protect the belief system from scrutiny, allowing believers to reinterpret prayer outcomes either as successes or failures based on internal states or hidden conditions. This results in a…

  • In public discourse, labels such as “atheist,” “agnostic,” and “Christian” often oversimplify complex beliefs, leading to misunderstandings. These tags are low-resolution summaries that hinder rational discussions. Genuine inquiry requires moving beyond labels to assess individual credences and evidence. Understanding belief as a gradient reflects the nuances of thought, promoting clarity…

  • The featured argument, often employed in Christian apologetics, asserts that the universe’s intelligibility implies a divine mind. However, a meticulous examination reveals logical flaws, such as equivocation on “intelligible,” unsubstantiated jumps from observations to conclusions about authorship, and the failure to consider alternative explanations. Ultimately, while the universe exhibits structure…

  • The piece discusses how historical figures like Jesus and Alexander the Great undergo “legendary inflation,” where narratives evolve into more than mere history, shaped by cultural needs and societal functions. As communities invest meaning in these figures, their stories absorb mythical elements and motifs over time. This phenomenon illustrates how…

  • This post argues against extreme views in debates about the historical Jesus, emphasizing the distinction between the theological narrative shaped by scriptural interpretation and the existence of a human core. It maintains that while the Gospels serve theological purposes, they do not negate the likelihood of a historical figure, supported…

  • Hebrews 11:1 is often misquoted as a clear definition of faith, but its Greek origins reveal ambiguity. Different interpretations exist, leading to confusion in Christian discourse. Faith is described both as assurance and as evidence, contributing to semantic sloppiness. Consequently, discussions about faith lack clarity and rigor, oscillating between certitude…

  • This post emphasizes the importance of using AI as a tool for Christian apologetics rather than a replacement for personal discernment. It addresses common concerns among Christians about AI, advocating for its responsible application in improving reasoning, clarity, and theological accuracy. The article outlines various use cases for AI, such…