Paragraph about Scientific software

This is, to say the least, a heterogeneous class of examples. In the
case of *QM*, the usual understanding is that the various
no-hidden variable results establish that any empirically adequate
theory of quantum mechanical phenomena must be irreducibly
indeterministic. It is thus plausible that when we use the Schrodinger
equation to derive the probability that a particle with a certain
kinetic energy will tunnel through a potential barrier Scientific software of a certain
shape, this representation satisfies the *SR* model's
“objective homogeneity” condition — there are no
additional omitted variables that would affect the probability of
barrier penetration. By contrast, it seems quite unlikely that this
homogeneity condition will be satisfied in most (indeed, in any) of
the biomedical and sociological illustrations that have figured in the
literature on statistical explanation. In the case of recovery from
strep, for example, it is very plausible that there are many other
factors besides the two mentioned above that affect the probability of
recovery — these additional mathlab factors will include the state of
the subject's immune system, various features of the subject's general
level of health, the precise character of the strain of disease to
which the subject is exposed (resistant versus non-resistant is almost
certainly too coarse-grained a dichotomy) and so on. Similarly for
episodes of juvenile delinquency. In these cases, in contrast to the
cases from quantum mechanics, we lack a theory or body of results that
delimits the factors that are potentially relevant to the probability
of the outcome that interests us. Thus, in realistic examples of
assemblages of statistically relevant factors from biomedicine and
social science, the objective homogeneity condition is unlikely to be
satisfied, or in any practical sense, satisfiable.