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. 2012 Aug 24;7(8):e43574. doi: 10.1371/journal.pone.0043574

Table 2. Likelihood of nepotism for discipline in UK.

Disciplines in the UK People LastNames Expected p-value
Pharmacy 550 484 512.5 <.001
Geography 1417 1128 1227.3 <.001
Archaeology 652 570 601.4 <.001
Political Sciences 4461 3229 3344.1 <.001
Architecture 1327 1106 1156.8 <.001
Agriculture 1204 989 1059.0 <.001
Earth Sciences 1425 1172 1233.5 <.001
Chemistry 1337 1074 1164.6 <.001
Education 2038 1595 1697.7 <.001
English Language and Literature 2128 1646 1763.7 <.001
Medical Sciences 9884 6045 6463.8 <.001
Life Sciences 3591 2649 2779.9 <.001
History 2018 1638 1683.0 0.004
Electronic Engineering 946 834 849.4 0.006
Sports-Related Studies 522 477 487.9 0.043
Industrial Engineering 3399 2617 2651.8 0.072
Business and Management Studies 3870 2926 2963.4 0.074
Classics, Ancient History, Byzantine and Modern Greek Studies 523 480 488.8 0.086
Civil Engineering 583 532 541.5 0.086
Anthropology 435 405 410.5 0.162
Library and Information Management 337 319 321.6 0.285
Philosophy 1256 1094 1100.5 0.307
Law 1913 1598 1605.2 0.338
Linguistics 367 348 349.0 0.439
Physics 2016 1680 1681.5 0.474
Psychology 1865 1570 1569.4 0.526
Statistics 445 425 419.4 0.920
American, Middle Eastern, African, Asian, European, Celtic Studies 1124 1012 994.8 0.947
Philology 1263 1128 1106.0 0.971
Mathematics 1786 1567 1510.2 >.999
Economics 1270 1155 1111.6 >.999
Informatics 2059 1786 1713.2 >.999
Art History 4146 3244 3142.5 >.999

Results of the Monte Carlo simulation for each discipline (sector) from the UK dataset of academics. The number of academics in the discipline (People), the number of distinct last names (Last names), the expected number of last names (Expected), and the associated p-value, measuring how probable it is to find an equal or lower number of distinct last names by chance, are reported. Significant p-values are in bold.