They’re not cherry picked, I’m just not going to list all 47 (as of today, more keep being discovered) instances of plagiarism here. The ones I gave aren’t even the close to the most egregious!

Would you prefer these:

Bradley and Voss:

the average turnout rate seems to decrease linearly as African Americans become a larger proportion of the population. This is one sign that the data contain little aggregation bias. If racial turnout rates changed depending upon a precinct’s racial mix, which is one description of bias, a linear form would be unlikely in a simple scatter plot (resulting only when changes in one race’s turnout rate somehow compensated for changes in the other’s across the graph).

Gay:

The average turnout rate seems to increase linearly as African-Americans become a larger proportion of the population. This is one sign that the data contain little aggregation bias. If racial turnout rates changed depending upon a precinct’s racial mix, which is one way to think about bias, a linear form would be unlikely in a simple scatterplot. A linear form would only result if the changes in one race’s turnout were compensated by changes in the turnout of the other race across the graph.

Gilliam:

Historically, politics has been a vehicle for upward mobility among racial and ethnic groups in the United States. Minority political incorporation and the redirection of public resources that is hypothesized to come with it, should alter how people evaluate and relate to their local governments.

Gay:

Historically, politics has been an important vehicle in the mobility (and “mainstreaming”) of racial and ethnic groups in the United States. As a consequence, minority office-holding should alter how people evaluate and relate to government