Data behind Expert Political Judgment, figure 3.2 (extracted with WebPlotDigitizer)

	A	B	C	D	E	F	G
1					Data Point	Improving Calibration (x)	Improving Discrimination (y)

2	Short Term	Experts	Foxes	Moderates	2	0.987	0.030
3			Foxes	Extremists	6	0.987	0.031
4			Hedge-foxes	Moderates	10	0.977	0.027
5			Hedge-foxes	Extremists	14	0.959	0.026
6			Fox-hogs	Moderates	18	0.983	0.042
7			Fox-hogs	Extremists	22	0.977	0.029
8			Hedgehogs	Moderates	26	0.958	0.019
9			Hedgehogs	Extremists	30	0.950	0.023
10		Dilettantes	Foxes	Moderates	4	0.985	0.030
11			Foxes	Extremists	8	0.988	0.027
12			Hedge-foxes	Moderates	12	0.972	0.026
13			Hedge-foxes	Extremists	16	0.965	0.026
14			Fox-hogs	Moderates	20	0.979	0.025
15			Fox-hogs	Extremists	24	0.984	0.027
16			Hedgehogs	Moderates	28	0.972	0.019
17			Hedgehogs	Extremists	32	0.966	0.020
18	Long Term	Experts	Foxes	Moderates	1	0.990	0.034
19			Foxes	Extremists	5	0.991	0.030
20			Hedge-foxes	Moderates	9	0.971	0.022
21			Hedge-foxes	Extremists	13	0.971	0.029
22			Fox-hogs	Moderates	17	0.979	0.035
23			Fox-hogs	Extremists	21	0.977	0.033
24			Hedgehogs	Moderates	25	0.954	0.016
25			Hedgehogs	Extremists	29	0.944	0.020
26		Dilettantes	Foxes	Moderates	3	0.990	0.023
27			Foxes	Extremists	7	0.991	0.026
28			Hedge-foxes	Moderates	11	0.971	0.024
29			Hedge-foxes	Extremists	15	0.971	0.021
30			Fox-hogs	Moderates	19	0.974	0.026
31			Fox-hogs	Extremists	23	0.973	0.030
32			Hedgehogs	Moderates	27	0.972	0.016
33			Hedgehogs	Extremists	31	0.964	0.020
34	Mindless Competition	Chimp			33	0.990	0.000
35		Base-Rate Extrapolation			34	1.000	0.000
36		Moderate Case-Specific Extrapolation			35	0.992	0.044
37		Extreme Case-Specific Extrapolation			36	0.985	0.042
38	Formal Models	Generalized Autoregressive Distributed Lag			37	0.991	0.069
39	Undergrads	University of California, Berkeley			38	0.942	0.006
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