claim: "[Models] are full of fudge factors that are fitted to the existing climate, so the models more or less agree with the observed data.
evidences.evidence_id: Astronomy:150
evidences.article: Astronomy
evidences.evidence: In the case of an inconsistency between the data and model's results, the general tendency is to try to make minimal modifications to the model so that it produces results that fit the data.
evidences.votes: SUPPORTS SUPPORTS
evidences.evidence_id: Mathematical model:106
evidences.article: Mathematical model
evidences.evidence: As the purpose of modeling is to increase our understanding of the world, the validity of a model rests not only on its fit to empirical observations, but also on its ability to extrapolate to situations or data beyond those originally described in the model.
evidences.votes: SUPPORTS SUPPORTS
evidences.evidence_id: Models of scientific inquiry:172
evidences.article: Models of scientific inquiry
evidences.evidence: The idea of 'too baroque' is connected to 'simplicity': "a theory jammed with fudge factors is not very elegant.
evidences.votes: REFUTES REFUTES
evidences.evidence_id: Models of scientific inquiry:28
evidences.article: Models of scientific inquiry
evidences.evidence: A good theory: Is elegant (Formal elegance; no ad hoc modifications) Contains few arbitrary or adjustable elements (simplicity/parsimony) Agrees with and explains all existing observations (unificatory/explanatory power) Makes detailed predictions about future observations that can disprove or falsify the model if they are not borne out.
evidences.votes: SUPPORTS NOT_ENOUGH_INFO
evidences.evidence_id: Scientific modelling:64
evidences.article: Scientific modelling
evidences.evidence: However, a fit to empirical data alone is not sufficient for a model to be accepted as valid.
evidences.votes: NOT_ENOUGH_INFO SUPPORTS