@article {diez2013general,
	title = {General theories of explanation: buyer beware},
	journal = {Synthese},
	volume = {190},
	number = {3},
	year = {2013},
	pages = {379{\textendash}396},
	abstract = {<p>We argue that there is no general theory of explanation that spans the sciences, mathematics, and ethics, etc. More specifically, there is no good reason to believe that substantive and domain-invariant constraints on explanatory information exist. Using Nickel (No{\^u}s 44(2):305328, 2010) as an exemplar of the contrary, generalist position, we first show that Nickels arguments rest on several ambiguities, and then show that even when these ambiguities are charitably corrected, Nickels defense of general theories of explanation is inadequate along several different dimensions. Specifically, we argue that Nickels argument has three fatal flaws. First, he has not provided any compelling illustrations of domain-invariant constraints on explanation. Second, in order to fend off the most vehement skeptics of domain-invariant theories of explanation, Nickel must beg all of the important questions. Third, Nickels examples of explanations from different domains with common explanatory structure rely on incorrect formulations of the explanations under consideration, circular justifications, and/or a mischaracterization of the position Nickel intends to critique. Given that the best and most elaborate defense of the generalist position fails in so many ways, we conclude that the standard practice in philosophy (and in philosophy of science in particular), which is to develop theories of explanation that are tailored to specific domains, still is justified. For those who want to buy into a more ambitious project: beware of the costs!</p>},
	doi = {10.1007/s11229-011-0020-8},
	author = {D{\'\i}ez, Jos{\'e} and Khalifa, Kareem and Leuridan, Bert}
}
@incollection {373206,
	title = {Galton{\textquoteright}s blinding glasses: modern statistics hiding causal structure in early theories of inheritance.},
	booktitle = {Causality and probability in the sciences},
	year = {2007},
	pages = {243{\textendash}262},
	publisher = {College Publications},
	isbn = {1-904987-35-4},
	author = {Leuridan, Bert},
	editor = {Russo, Federica and Williamson, Jon}
}
