Blind Faith Parsimony: Occam's Razor as the Heart of Science

Blind Faith Parsimony Working Paper - Version 1 (October 02, 2025) This is a working paper intended for circulation and discussion. Comments are welcome and should be directed to [email protected]. © 2025 Arseniy Vodopyanov. All rights reserved. 1 Blind Faith Parsimony: Occam‘s Razor as the Heart of Science Author: A. Vodopyanov, Independent Researcher Email: tw[email protected] Pre-print archived at Zenodo: Archived at SSRN (mirror): pending: Indexed on PhilPapers: pending Abstract Despite its longstanding influence, the status of Occam‘s Razor (also known as the principle of parsimony ) as fundamental scientific principle is regularly questioned. An interpretation thereof called Blind Faith Parsimony is presented, which: (a) holds that whichever hypothesis yields fullest account of corresponding data while necessitating least verifiability-averse assumption—is most scientific (b) naturally encompasses key notions of reductionism , verifiability, probabilism, etc . (c) is provably of paramount scientific importance. Three concise corresponding arguments are employed. The first demonstrates that it is a glaring misconception to conclude that Occam‘s razor does not dynamically accord with data. The second argument shows that without parsimony to block ad hoc hypotheses , falsifiability is impossible—rendering science itself untenable. And the third highlights the enormous burden of proof reasonable critiques must shoulder. Keywords : Philosophy of Science, Occam‘s Razor, Principle of Parsimony, Verifiability, Falsifiability, Reductionism, Hitchens‘s Razor, Sagan Standard, Bayesian Occam's Razor, Bayesian Inference, Probabilism Blind Faith Parsimony 2 Introduction -This examination is rooted in the straightforward Bayesian/probabilistic idea that compressing spectrums into binaries at the cost of crucial information is erroneous. -All emphases are editorial. As aptly summarized by McFadden (2023, pp. 8, 11): ”Occam‘s razor... has recently been attacked as a cultural bias without rational foundation. … This criticism of the influence of Occam‘s razor in science remains common. [It] has been attacked with claims that ‘its rhetorical purpose [is] as an old saw persuading us to champion the supposed virtue of simplicity.‘ 44 In systems biology, for example, it has been claimed that because life is ‘irreducibly complex‘ Occam‘s razor has no role in model selection. 45 Recent popular science articles by influential authors have made similar claims… arguing that Occam‘s razor represents the ‘tyranny of simple explanations‘ 46 or that it is ‘appealing, widely believed, and deeply misleading‘. 47 This dismissal… has likely contributed to what has been described as ‘a worrying trend to favour unnecessarily complex interpretations‘. 48” Oxford Reference‘s Dictionary of Epidemiology describes Occam’s Razor as: ”The principle of scientific parsimony (parsimony in the sense of unwillingness to use unnecessary resources, [which is also sometimes referred to as scientific] frugality, austerity). An ancient principle often attributed to the philosopher… William of Ockham (c.1285-c.1349), who said:… assumptions to explain a phenomenon must not be multiplied beyond necessity.” The Routledge ”Probability, Choice, and Reason” textbook by Director of the Centre for the Public Understanding of Probability, Prof. Leighton Vaughan Williams, elaborates thus (2021, pp. 186, 189): ”Occam’s Razor has come to embody the method of eliminating unnecessary hypotheses. Essentially, [it] holds that the theory which explains all (or the most) while assuming the least is the most likely to be correct. … This is the principle of parsimony. … Occam’s Razor… points to the simplest explanation that is consistent with the data available at a given time, but even so the simplest explanation may be ruled out as new data become available. This does not invalidate the Razor, which does not state that simpler theories are necessarily more true than more complex theories, but that when more than one theory explains Blind Faith Parsimony 3 the same data, the simpler should be accorded more probabilistic weight.[ 1 ] So Occam’s Razor… is also consistent with multiplying entities which are in fact necessary to explain a phenomenon.” E.g., In systems biology. Two closely interrelated principles are: i. Hitchens‘s razor (2007, p. 150): ”What [is] asserted without evidence can… be dismissed without evidence.” ii. Sagan standard (1979, p. 73): ”Extraordinary claims require extraordinary evidence.” 2 As expanded-upon in argument 1 below, said data-consistency point is absolutely crucial. Argument 1: Data Consistency The most popular corresponding example is known as duck test . Dictionary.com explains: ”If it looks like a duck, swims like a duck, and quacks like a duck, says Occam’s razor, it’s probably a duck. Not a goose disguised as a duck that infiltrated the flock.” This is so because the added convolution/extraordinariness of that latter goose-infiltrator hypothesis, proves superfluous (and therefore unscientific) when the extraordinary evidence needed to substantiate it—is missing. Occam‘s razor compelling us to prioritize the therefore more logically straightforward and scientific duck hypothesis instead. As keenly observed by Williams above however, this would cease to be the case if ”new data became available” which revealed the goose hypothesis to be more logically straightforward after all. E.g., If the animal was actually verified to take off its duck costume; without which it indeed looked, acted and sounded like a goose. In light of this extraordinary new data, it is then the disguised-goose hypothesis that proves the more logically straightforward, less convoluted and therefore more scientific of the two. 1Note that this "probabilistic" interpretation of Occam's razor naturally encompasses Bayesian Occam’s Razor "according to which Bayesian inference automatically penalizes hypotheses that are more complex in the sense that they contain more free parameters and/or free parameters with more possible values (Henderson, Goodman, Tenenbaum, & Woodward, 2010; Jefferys & Berger, 1992; MacKay, 2003; Rosenkrantz, 1977)" (Blanchard et al., 2017, p. 1345) 2As Tressoldi (2011, p. 1) notes, this principle is Sagan‘s popular rewording of ”Laplace’s principle[:] ‘the weight of evidence for an extraordinary claim must be proportioned to its strangeness’ (Gillispie et al., 1999).” Blind Faith Parsimony 4 Because it would then be even more convoluted to claim that it was nonetheless a duck all along. Which would have had to successfully disguise itself as a goose who, in turn, disguised itself as a duck. Unless even more extraordinary evidence/data came to light, which rendered this even-more-extraordinary hypothesis the most straightforward, plausible option. And so on. In either case, Occam‘s razor indeed remains ever helpful and intact. Merely reminding researchers to prioritize whichever hypothesis matches the corresponding data most verifiably. Keeping the extent of blind assumption required to accept it, down to minimum; thus keeping said conclusion as scientific as humanly possible. And as such, once again, the optimal interpretation of Occam‘s razor can be summarized as: whichever hypothesis yields fullest account of corresponding data while necessitating least verifiability-averse assumption—is most scientific. I.e., As Blind Faith Parsimony. This critical data-consistency point—too often overlooked by those arguing against Occam‘s razor being scientifically fundamental. Argument 2: No Parsimony →No Falsifiability →No Science The following 3-step argument establishes corresponding fundamentality further yet. S1. No Falsifiability = No Science Despite occasional challenges (often in serving fashionable theories which themselves increasingly prove unfalsifiable), the notion that falsifiability is central to identifying pseudoscientific theories—is well founded, established and accepted in mainstream academia. As briefly demonstrated below. Encyclopedia of Science and Religion‘s falsifiability entry states: ”Falsifiability [is] the most commonly invoked ‘criterion of demarcation‘ of science from nonscience.” McFadden (2023, p. 8) adds: ”Philosophy of science is rarely taught as a component of scientific education, but if pushed to identify the defining feature of their disciplines most scientists generally choose the principle of falsifiability (attributable to Karl Popper). 14 ” Blind Faith Parsimony 5 A prominent example of strong corresponding contextualization is Michael Ruse‘s (Bertrand Russell Society award) tellingly titled 1982 ”Creation Science Is Not Science”: ”Religion [or] creation-science is not science [because genuine] science must be open to change, however confident one may feel at present. Fanatical dogmatism is just not acceptable. … If the facts speak against a theory, then it must go. A [genuine] body of science must be falsifiable.” Stanford Encyclopedia of Philosophy expands upon the corresponding position thus: ”If a theory is incompatible with possible empirical observations it is scientific; conversely, a theory which is compatible with all such observations… is unscientific.” Cambridge dictionary adds: ”Falsifiable [means] able to be proved... false. [E.g.,] All good science must be falsifiable .” Why falsifiability is so scientifically-essential, is further delineated by Oxford Reference. According to which science itself is: ”The systematic study of the structure and behavior of the physical and natural world through observation, experimentation, and the testing of theories against the evidence obtained.” (As cited in McHugh, 2024, p. 88) Ergo, if a theory cannot be falsified when ”test[ed] against evidence”, then it simply isn‘t genuinely evidence-based and therefore—isn‘t scientific. Particularly so, when testable alternatives exist (as is virtually always the case). S2. No Parsimony = No Falsifiability Per Popper (2008, p. 731): ”Falsification of a theor[y] can always be avoided by introducing an auxiliary hypothesis.” These are also referred to as ad hoc hypotheses, immunizing stratagems or special pleading instances . Schindler (2024, p. 71) elaborates: ”When introduced to save a theory, ad hoc hypotheses would reduce the theory‘s falsifiability, and therefore ‘degrees of ad hoc-ness are related (inversely) to degrees[ 3 ] of testability and significance‘ (Popper, 1959). 3Once again, it being far more accurate to assess such factors in ‘degrees‘ rather than in simplistic binary terms. Blind Faith Parsimony 6 … Ad hoc hypotheses are hypotheses which may make independent predictions, but for which there [is] no support. This view is incredibly popular… (Schaffner, 1974; Leplin, 1975; Scerri & Worrall, 2001; Sober, 2008; Worrall, 2002). The following example is often invoked to motivate the view (e.g., Worrall, 2002): when an irregularity was discovered in the planet Uranus, Adams and Le Verrier in 1845-46 proposed that a new planet in the vicinity of Uranus might cause the discrepancy. At first, the ‘Neptune hypothesis‘ was ad hoc, because it was introduced to save Newton‘s theory. But after Neptune was discovered, the hypothesis was independently confirmed and thus lost its ad hoc status. 15 ” Or as aptly rephrased via Wikipedia‘s Occam‘s Razor entry 4 : ”Even if some increases in complexity are sometimes necessary, there still remains a justified general bias toward the simpler of two competing explanations. To understand why, consider that for each accepted explanation of a phenomenon, there is always an infinite number of possible, more complex, and ultimately incorrect, alternatives. This is so because one can always burden a failing explanation with an ad hoc hypothesis.. prevent[ing it] from being falsified. … This endless supply of elaborate competing explanations… cannot be technically ruled out – except by using Occam‘s razor.[32][33][34]” I.e., In lieu of the data/evidence needed to defend a particular hypothesis, ”one can always [prop it up] with an ad hoc hypothesis”. E.g., Dinosaur fossils contradict the Biblical account, prompting some Christians to claim that said fossils were planted by God himself to test humanity‘s faith. Which is ad hoc because it relies on a deeply-selective assessment of corresponding data (if any), while necessitating a vast comparative preponderance of verifiability-averse assumption. Which is equivalent to invoking that disguised-goose hypothesis on little to no evidentiary grounds. S3. Ergo: No Parsimony = No Science Given the two preceding points, it should indeed be clear that ”endless… elaborate competing [ad hoc] hypotheses, cannot be technically ruled out – except by using Occam‘s razor”. I.e., That unless we employ the parsimony principle to help us weigh scientific probabilities against one other—all 4Wikipedia is used here as a tertiary source due primarily to the soundness of its phrasing. The underlying concepts having been (a) established earlier in the paper via both primary sources and basic logic (b) via primary sources cited within the Wikipedia article itself (e.g., Stanovich, 2007 pp. 19–33; Carroll, 2008; Swinburne, 1997). Blind Faith Parsimony 7 hypotheses become unfalsifiable; and as such—unscientific. Leaving us no means to objectively discern more scientific/straightforward/likely explanations from their more unscientific/convoluted/unlikely kin; to distinguish needless blind faith from that, as-yet scientifically unavoidable. Argument 3: Burden of Proof The Blind Faith Parsimony interpretation of Occam‘s Razor moreover leaves critics to tackle three key questions: a. After centuries of study, can even a single example be clearly identified where above-detailed pitfalls are avoided and yet the corresponding principle fails? I.e., Is there a single hypothesis which yields fullest account of corresponding data while necessitating least verifiability-averse assumption and yet proves less scientific than alternatives? So prior to new corresponding data becoming available? b. Even if such a case can be corroborated, can it reasonably be characterized as not an exception that proves the rule ? c. If the answer to ‘b‘ (much less ‘a‘) is ‘no‘—does this leave any reasonable room for debate on whether or not such parsimony is a core scientific principle? Those who deny said principle's fundamentality, need show: a. That putative exceptions are genuine and significant. b. That a viable alternative avoids comparatively more thereof. c. That this alternative either differs in essence from said principle or is even more fundamental. (Otherwise it could constitute an extension and/or complement thereto at most, not a genuine alternative.) Blind Faith Parsimony 8 Conclusion Above-covered parsimony indeed proves essential to genuine science. Only misuse and/or misinterpretation thereof is antithetical thereto. E.g., Where extraordinary countervailing evidence is unscientifically ignored in the name of artificially bolstering ‘simpler‘ explanations. Misuse which said principle explicitly forbids. 5 5Note such parsimony does not eliminate other scientific virtues such as coherence, predictive power and explanatory scope, but rather underlies them. A hypothesis scoring low on either such front, invariably proving (a) to be less capable of yielding full account of corresponding data and/or (b) to entangle more verifiability-averse assumption. Blind Faith Parsimony 9 References Blanchard, T., Lombrozo T, Nichols S. (2017). Bayesian Occam’s Razor Is a Razor of the People. Cognitive Science, 42(5), 1345–1359. https://doi.org/10.1111/cogs.12573 Carroll, R. T. (2008, June 22). Ad hoc hypothesis. The Skeptic‘s Dictionary. https://web.archive.org/web/20251001215830/https://skepdic.com/adhoc.html Dictionary.com. (2018). Occam’s razor. https://web.archive.org/web/20251001203111/https://www.dictionary.com/e/pop-culture/occams-razor/ Encyclopedia of Science and Religion. (2003). Falsifiability. Macmillan Reference USA. https://web.archive.org/web/20251001203814/https://www.encyclopedia.com/science-and-technology/physics/science-general/falsifiability Hitchens, C. (2007). God is not great: How religion poisons everything. Twelve. McFadden, J. (2023). Razor sharp: The role of Occam’s razor in science. Annals of the New York Academy of Sciences, 1530, 8–17. https://doi.org/10.1111/nyas.15086 McHugh, K. (2024). A scientist‘s journey: learning to communicate science for improved nature connectedness. The Living Lab, 1(1), 86–107. https://doi.org/10.20933/40000104 . Available at https://web.archive.org/web/20251001210254/https://discovery.dundee.ac.uk/ws/portalfiles/portal/140249122/5._McHugh_K._86-107_issue_1.pdf Oxford Reference. (2017). Science and technology. Available at https://www.oxfordreference.com/page/134 (as cited in McHugh, 2024, p. 88). Popper, K. (2008). The two fundamental problems of the theory of knowledge (T. E. Hansen, Ed.; A. Pickel, Trans.). Routledge. Porta, M. (2014). Occam’s Razor. In A Dictionary of Epidemiology. Oxford University Press. https://web.archive.org/web/20250926191322/https://www.oxfordreference.com/display/10.1093/acref/9780199976720.00 1.0001/acref-9780199976720-e-1336?rskey=ZOocoh&result=1519 Ruse, M. (1982). Creation Science Is Not Science. Science, Technology, & Human Values, 7(3), 72-78. https://doi.org/10.1177/016224398200700313 Sagan, C. (1979). Broca’s brain: Reflections on the romance of science. Random House. Schindler, S. (2024). Predictivism and avoidance of ad hoc-ness: An empirical study. Studies in History and Philosophy of Science, 104, 68–77. https://doi.org/10.1016/j.shpsa.2023.11.008 Stanovich, K. E. (2007). How to Think Straight About Psychology. Pearson Education. Swinburne, R. (1997). Simplicity as evidence for truth. Marquette University Press. Thornton, S. (2023). Karl Popper. In E. N. Zalta & U. Nodelman (Eds.), The Stanford encyclopedia of philosophy (Fall 2023 ed.). Stanford University. https://plato.stanford.edu/archives/fall2023/entries/popper