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Salon has an excerpt from The Gamble, Lynn Vavreck’s and my account of the 2012 election.  Here is one bit about how Santorum pulled off his victories in Colorado, Minnesota, and Missouri:
Santorum filled it by outhustling the other candidates in these states, despite his seat-of-the-pants campaign. He did so in part with a little outside help and in part with the shoe-leather campaigning that even an underfunded campaign can do (much as he did in Iowa). And with the other candidates doing far less to contest these states, the information his campaigning produced—via advertisements, voter contact, rallies, and local news—likely helped him persuade and mobilize voters. Santorum’s campaign benefited from the support of a super-PAC, the Red White and Blue Fund (RWBF), largely funded by wealthy businessmen William Doré and Foster Friess. Thanks to their support, RWBF actually aired more ads in Missouri and Minnesota than did any other candidate or affiliated super-PAC. In the three weeks before the two caucuses and the primary, RWBF aired 121 ads in Missouri (no other candidate aired any) and 193 ads in Minnesota (Romney’s super-PAC aired 150 and Paul aired 125). In Colorado, where Romney did advertise and Santorum did not, RWBF organized a phone bank to mobilize Santorum voters.

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Seven researchers, including two Nobel Prize winners, will be honored today at the second annual Golden Goose Award ceremony, celebrating researchers whose seemingly odd or obscure federally funded research turned out to have a significant impact on society.
The awardees will be honored at a ceremony on Capitol Hill, where they will receive their awards from a bipartisan group of Members of Congress.

From the press release.  The Golden Goose website is here. A short item at Inside Higher Ed is here.

…it’s very hard to determine the value of any research ahead of time.  It’s hard because any one research project is narrow.  It’s hard because you can’t anticipate how one project might inform later ones.  It’s hard because some funding goes to create public goods—like large datasets—that many others will use, and those myriad projects also cannot be anticipated.  It’s hard because some research won’t work, and we can’t know that ahead of time.