'Parsimony' is a 'less is better' concept of frugality, economy, stinginess, or the taking of care at arriving at a hypothesis or course of action. The word derives from Middle English ''parcimony'', from Latin ''parsimonia'', from ''parsus'', past participle of ''parcere'': 'to spare'.
Science
In
science, parsimony is preference for the least complex explanation for an observation. This is generally regarded as good when judging
hypotheses.
Occam's razor also states the "principle of parsimony".
In
systematics,
maximum parsimony is a
cladistic "optimality criterion" based on the principle of parsimony. Under maximum parsimony, the preferred
phylogenetic tree is the tree that requires the least number of evolutionary changes.
In
biogeography, parsimony is used to infer ancient
migrations of
species or
populations by observing the geographic distribution and relationships of existing organisms. Given the phylogenetic tree, ancestral migrations are inferred to be those that require the minimum amount of total movement.
Parsimony is also a factor in
statistics: in general, mathematical models with the smallest number of
parameters are preferred as each parameter introduced into the model adds some uncertainty to it. Additionally, adding too many parameters leads to "connect-the-dots" curve-fitting which has little predictive power. In general terms, it may be said that applied statisticians (such as process control engineers) value parsimony quite highly, whereas mathematicians prefer to have a more predictive model even if a large number of parameters are required.
Hesperornithes and others
[1][2] provide cases where a parsimonious approach does not guarantee to arrive at a correct conclusion, and if based on incorrect working hypotheses or interpretations of incomplete data ''may even strongly support a false conclusion'':
When parsimony ceases to be a guideline and is instead elevated to an ''ex cathedra'' pronouncement, parsimony analysis ceases to be science.[3]
For another example using a more familiar subject, consider the attempts to determine the relationships of the
cockatoos, namely such taxa as the
Gang-gang Cockatoo, the
Galah, and the popular pet, the
cockatiel. It becomes obvious that parsimony is an extremely powerful tool if the researcher is able to interpret correctly the significance of the data to the case in question, and is able to relate and put it into context ''inter se''. Failure to fulfil these conditions will, speaking figuratively, dull
Occam's razor fairly quickly.
Penal ethics
In penal theory and the philosophy of punishment, parsimony refers specifically to taking care in the distribution of
punishment in order to avoid excessive punishment. In the
utilitarian approach to the philosophy of punishment,
Jeremy Bentham's "parsimony principle" states that any punishment greater than is required to achieve its end is unjust. The concept is related but not identical to the legal concept of
proportionality. Parsimony is a key consideration of the modern
restorative justice, and is a component of utilitarian approaches to punishment, as well as the penal abolitionism movement. Bentham believed that true parsimony would require punishment to be individualised to take account of the
sensibility of the individual – an individual more sensitive to punishment should be given a proportionately lesser one, since otherwise needless pain would be inflicted. Later utilitarian writers have tended to abandon this idea, in large part due to the impracticality of determining each alleged criminal's relative sensitivity to specific punishments. For a discussion on how well just deserts theory applies parsimony.
[4]
See also
★
Occam's razor
★
Maximum parsimony
★
Cladistics
★
Karl Popper
★
Willi Hennig
References
1. 'Lee', M. S. Y. (2002): Divergent evolution, hierarchy and cladistics. ''Zool. Scripta'' '31'(2): 217-219. PDF fulltext
2. Parsimony and its role in Phylogenetic Reconstruction
3. Ibid
4. 'Tonry', Michael (2005): Obsolescence and Immanence in Penal Theory and Policy. ''Columbia Law Review'' '105': 1233-1275. PDF fulltext
External links
★
Essay about parsimony in philosophy and science
★
A short blog entry about statistical parsimony