Keith DeRose

The score was tied in the bottom of the ninth, I was on third base, and there was only one out when Bubba hit a towering fly ball to deep left-center. Although I’m no speed-demon, the ball was hammered so far that I easily could have scored the winning run if I had tagged up. But I didn’t. I got caught up in the excitement and stupidly played it half way, standing between third and home until I saw the center fielder make his spectacular catch, after which I had to return sheepishly to third. The next batter grounded out, and we lost the game in extra innings

Fortunately for those of us who work on the topic, Ernie Sosa has devoted much of his (seemingly inexhaustible) intellectual energy to the problem of philosophical skepticism. And to great effect. With the three exceptions of Peter Unger, whose 1975 Ignorance: A Case for Scepticism is a grossly under-appreciated classic of epistemology; Timothy Williamson, whose 2000 Knowledge and its Limits is, I hope, on its way to being a less underappreciated classic; and Thomas Reid, I have benefitted more from Sosa’s wrestlings with skepticism than from anyone else’s work on the topic.

fits our evidence.[1] I will propose some potential counter-examples to test this evidentialist thesis. My main intention in presenting the “counter-examples” is to better understand Feldman’s evidentialism, and evidentialism in general. How are we to understand what our evidence is, how it works, and how are we to understand the phrase “epistemically ought to believe” such that evidentialism might make sense as a plausible thesis in light of the examples? Of course, we may decide that there’s no such way to understand evidentialism -- that it just isn’t a plausible thesis. I must admit that my suspicions lean in that direction. But the potential counter-examples are put forward, not in a refutational spirit (though I have nothing against good refutations in philosophy), but as an invitation to evidentialists and potential evidentialists to refine and/or explain their thesis in light of the at least apparent problems that the examples highlight.

In some lottery situations, the probability that your ticket's a loser can get very close to 1. Suppose, for instance, that yours is one of 20 million tickets, only one of which is a winner. Still, it seems that (1) You don't know yours is a loser and (2) You're in no position to flat-out assert that your ticket is a loser. "It's probably a loser," "It's all but certain that it's a loser," or even, "It's quite certain that it's a loser" seem quite alright to say, but, it seems, you're in no position to declare simply, "It's a loser." (1) and (2) are closely related phenomena. In fact, I'll take it as a working hypothesis that the reason "It's a loser" is unassertable is that (a) You don't seem to know that your ticket's a loser, and (b) In flat-out asserting some proposition, you represent yourself as knowing it.1 This working hypothesis will enable me to address these two phenomena together, moving back and forth freely between them. I leave it to those who reject the hypothesis to sort out those considerations which properly apply to the issue of knowledge from those germane to that of assertability. Things are quite different when you report the results of last night's basketball game. Suppose your only source is your morning newspaper, which did not carry a story about the 1 game, but simply listed the score, "Knicks 83, at Bulls 95," under "Yesterday's Results." Now, it doesn't happen very frequently, but, as we all should suspect, newspapers do misreport scores from time to time. On several occasions, my paper has transposed a result, attributing to each team the score of its opponent. In fact, that your paper's got the present result wrong seems quite a bit more probable than that you've won the lottery of the above paragraph. Still, when asked, "Did the Bulls win yesterday?", "Probably" and "In all likelihood" seem quite unnecessary. "Yes, they did," seems just fine..