Stage Scientific Evidence

A subset of stage evidence specific to scientific contexts: data that is produced, selected, or interpreted under conditions controlled by the researcher to ensure a desired outcome. This includes cherry‑picking positive results, excluding outliers without justification, and using statistical techniques that guarantee significance. Stage scientific evidence is often indistinguishable from genuine evidence to a non‑expert, but it lacks the robustness of open, pre‑registered, and replicated science. It is science performed for an audience, not for knowledge.

Example: “The lab’s results were always positive, always just at the significance threshold—stage scientific evidence, where the data were choreographed to tell a specific story.”

by Dumu The Void April 3, 2026

decision-based evidence making

An alternative to evidence-based decision making, "decision-based evidence making" is the practice of collecting evidence to support a pre-existing decision, rather than using evidence in any way to inform the decision itself.

This technique typically involves cherry-picking sources or relying on bad or unreliable authorities to justify or legitimise (after the fact) a questionable decision which has already been made.

Dr. Daniel Jernigan resigned from CDC in 2025, telling reporters that Robert F Kennedy Jr seems to be "going from evidence-based decision making to decision-based evidence making" as the Centres for Disease Control began citing debunked studies to support a dodgy claim that vaccines cause autism.

by bitchuck November 20, 2025

Hard Problem of Evidence

The interpretive gap: Evidence is never self-interpreting; it is always filtered through a prior framework of beliefs, theories, and assumptions (a "paradigm"). A single piece of data can be used to support wildly different conclusions. The hard problem is that there is no such thing as "raw" or "theory-neutral" evidence. What counts as evidence, and how much weight it carries, is determined by the very worldview it is meant to test. This creates a hermeneutic circle where beliefs shape the evidence, which then selectively confirms beliefs.

Example: Two people see the same rainbow. A physicist sees evidence of refraction and wavelengths. A theologian sees evidence of a divine covenant. A pot of gold enthusiast sees evidence of leprechauns. The photons hitting their retinas are identical. The hard problem: The "evidence" of the rainbow is not in the light, but in the interpretation. In a courtroom, a fingerprint is strong evidence only if you already believe in the reliability of forensic science and the integrity of the chain of custody. Evidence is a conversation, not a commandment. Hard Problem of Evidence.

by Enkigal January 24, 2026

Hard Problem of Scientific Evidence

The problem of underdetermination: For any given body of scientific evidence, there are always multiple, logically possible theories that can explain it equally well. Data alone cannot force us to choose one theory over another; extra-scientific criteria like simplicity, elegance, or compatibility with other established theories (paradigm loyalty) must be used. The hard problem is that these criteria are aesthetic and pragmatic, not purely empirical. Thus, the move from evidence to theory is never a strict logical deduction, but a creative, sometimes subjective, leap.

Example: Centuries of astronomical evidence (planetary motions) could be explained perfectly by either Ptolemy's complex earth-centered model (with epicycles) or Copernicus's simpler sun-centered model. The evidence alone didn't decide. The choice was made based on the principle of parsimony (simplicity), which is a philosophical preference, not a law of nature. Today, the weird results of quantum experiments are explained by both the Copenhagen interpretation and the Many-Worlds interpretation. The evidence fits both; our choice is a matter of metaphysical taste, not evidential compulsion. Hard Problem of Scientific Evidence.

by Enkigal January 24, 2026

Law of Absolute and Relative Evidence

The principle that evidence operates in two modes: absolute evidence (facts that are evidence regardless of perspective, context, or interpretation) and relative evidence (facts that serve as evidence only within particular frameworks, for particular purposes, to particular audiences). The law acknowledges that some evidence is universally compelling—a video of a crime, a DNA match, a document with a signature. Other evidence is context-dependent—statistics that prove one point to one audience and the opposite to another, testimony that's credible in one culture and suspect in another. The law of absolute and relative evidence reconciles the intuition that evidence should be objective with the reality that its force depends on who's judging. Good arguments use both kinds, building on undeniable facts while understanding that interpretation is always relative.

Example: "They argued about whether the data was evidence of climate change. Absolute evidence: the temperature readings were real, measurable, undeniable. Relative evidence: whether those readings proved catastrophic warming depended on models, interpretations, and assumptions. The law of absolute and relative evidence said: the data was absolute; its meaning was relative. They stopped arguing about the data and started arguing about interpretation."

by Abzugal Nammugal Enkigal February 16, 2026

The 8 Axes of the Evidence Spectrum

A framework for evaluating evidence along eight key dimensions, providing a comprehensive map of where any piece of evidence falls. The 8 axes are: 1) Strength (how powerfully the evidence supports the claim), 2) Reliability (how trustworthy the source/method is), 3) Relevance (how directly the evidence addresses the claim), 4) Independence (how free the evidence is from conflict of interest), 5) Replicability (how consistently the finding can be reproduced), 6) Sample/Population Fit (how well the sample represents the population of interest), 7) Methodological Rigor (how well the study was designed and executed), and 8) Consilience (how well the evidence coheres with other established knowledge). These axes allow for nuanced evaluation rather than binary judgments.

The 8 Axes of the Evidence Spectrum Example: "They stopped arguing about whether the study was 'evidence' and started mapping it on the 8 axes. Strength: moderate. Reliability: high. Relevance: low (different population). Independence: questionable (industry funded). The axes showed where the evidence was strong and where it was weak—and why they disagreed about what it meant."

by Dumu The Void March 7, 2026

The 16 Axes of the Evidence Spectrum

An expanded framework for even more nuanced evaluation, adding eight dimensions to the original eight. The additional axes include: 9) Temporal Relevance (how current the evidence is), 10) Ecological Validity (how well the evidence reflects real-world conditions), 11) Mechanistic Understanding (whether we know why the evidence works), 12) Alternative Explanations (how thoroughly competing explanations have been ruled out), 13) Effect Size (how large the observed effect is, not just whether it's statistically significant), 14) Precision (how narrow the confidence intervals are), 15) Generalizability (how well the findings apply across contexts), and 16) Transparency (how fully the methods and data are available for scrutiny). The 16 axes provide a nearly complete picture of evidential quality, useful for high-stakes decisions where nuance matters.

The 16 Axes of the Evidence Spectrum *Example: "The policy debate was high-stakes, so they used all 16 axes. The evidence was strong on reliability and rigor, weak on ecological validity and generalizability. The 16 axes showed exactly where the uncertainty lay—not in whether the evidence existed, but in how well it applied. The policy was informed, not determined, by evidence—which is how it should be."*

by Dumu The Void March 7, 2026