In science and everyday life, simple models are generally preferred over complex ones.
Is it true that in science and everyday life, simple models are generally preferred over complex ones?
Yes. Simple models are generally preferred in science and everyday life because the principle of simplicity (Occam's razor) and optimal inference frameworks consistently balance model complexity against predictive accuracy.
Verdict: SUPPORTED · 3 sources for, 0 against · Last checked
The claim is a specific, contestable, and empirical generalization about modeling choices in science and cognition, satisfying Step 0. Retrieved papers such as [1], [3], and [6] directly support the premise by detailing how Occam's razor and the trade-off between complexity and accuracy govern both human perception and scientific inference. No papers refute the general preference for simplicity as a principle, though some discuss specific contexts where trade-offs occur.
Get citation
TH, F., RJ, D., & KJ, F. (2014). Model averaging, optimal inference, and habit formation.. doi.org. https://doi.org/10.3389/fnhum.2014.00457
See more details
Get citation
J, F. (2016). The simplicity principle in perception and cognition.. doi.org. https://doi.org/10.1002/wcs.1406
Get citation
J, M. (2023). Razor sharp: The role of Occam's razor in science.. doi.org. https://doi.org/10.1111/nyas.15086
What does the evidence say?
The claim is a specific, contestable, and empirical generalization about modeling choices in science and cognition, satisfying Step 0. Retrieved papers such as [1], [3], and [6] directly support the premise by detailing how Occam's razor and the trade-off between complexity and accuracy govern both human perception and scientific inference. No papers refute the general preference for simplicity as a principle, though some discuss specific contexts where trade-offs occur.
Challenge the receipt
Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.
Terms · Privacy · How verdicts work