Yes. So why not go and do it? I mean, it's in the report. So, do it. And, presumably, you get exactly the same results as in the report. And you send that to AJPS or publish on your blog or whatever.
What if I told you that the report made a mistake? Would you believe me? Why or why not? What if I told you that I re-ran the analyses using the report, and the report is totally wrong. Would you believe me?
My guess is: no! And you shouldn't! Just like you shouldn't believe the report. Do it! Or submit it for peer review. Or... so many other ways other than "here's a report. no idea who did it. no idea if their results replicate or not. But it's there. RE is therefore guilty!"
Just. Do. It.
If you're invested in this (like Karl) and don't do it, then 2 possibilities:
-you're too lazy/incompetent to do it
-you did it and it didn't work as you hoped
April, have you read the report? It explains how to download the official data and shows that over a THOUSAND of observations were deleted or modified, for no apparent reason. It also provides the code used by the authors.
No explanation in Enos's article for any deletions (and changing official data values is simply indefensible). No code in Enos' dataverse to show how his dataset, which is VASTLY different from official data, was obtained.
At this point Enos has the burden of proof to show that those were honest errors, and the ethical obligation to retract the article. There are no two ways about it. So far he is allowing results that he is well aware are incorrect to remain in print under his name and the Harvard affiliation.
What the report demonstrates is enough to retract the article and at least the CUP chapter on Chicago. End of story, case closed.