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Stability, sensitivity, science and heurism

机译:稳定性,敏感性,科学性和启发性

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We examine recently proposed justifications of sensitivity analysis sensu Wheeler (1995), here referred to as weighted-classes sensitivity analysis (WCSA). We refute Giribet's (2003a) claim that WCSA is the strictest possible test for a given phylogenetic hypothesis. Giribet's (2003a) classification of data exploration methods as evaluating "nodal stability" or "nodal support" is arbitrary, at odds with common usage and actually obscures the relationships between the methods he examined, all of which seek to assess the sensitivity of results to variation in analytical conditions. Stability, whether statistical or taxonomic, is not a goal of phylogenetic science. Statistical stability necessarily involves trial repetition, which is impossible in ideographic sciences like phylogenetics. Taxonomic stability can be nothing more than an unintended by-product of scientific inquiry, i.e., the repeated failure to refute a hypothesis. Schulmeister's (2003) "robust-choice" defense of WCSA does not succeed in placing non-arbitrary bounds on parameters, and her interpretation of this approach as simultaneously verificationist and falsificationist is logically inconsistent. WCSA is neither scientific nor heuristic and therefore does not contribute to the advancement of objective knowledge claims. (C) The Willi Hennig Society 2005.
机译:我们检查了最近提出的敏感性分析sensu Wheeler(1995)的论证,这里称为加权类敏感性分析(WCSA)。我们驳斥了Giribet(2003a)的说法,即对于给定的系统发育假设,WCSA是最严格的检验。 Giribet(2003a)将数据探查方法评估为“节点稳定性”或“节点支持”的分类是任意的,与通常的用法相悖,并且实际上掩盖了他所检查的方法之间的关系,所有这些方法都试图评估结果对方法的敏感性。分析条件的变化。无论是统计稳定性还是分类稳定性,都不是系统发育科学的目标。统计稳定性必然涉及试验重复,这在象表系统学(如系统发育学)中是不可能的。分类学稳定性无非是科学询问的意外副产品,即反复驳斥假设的失败。 Schulmeister(2003)对WCSA的“稳健选择”的辩护未能成功地将非任意界限置于参数上,并且她将此方法解释为同时验证者和证伪主义者在逻辑上是不一致的。 WCSA既不是科学的也不是启发式的,因此不会促进客观知识主张的发展。 (C)2005年威利·亨尼格学会(Willi Hennig Society)。

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