UPDATE: Half Sigma has a response here, though not much new content.
More GSS fun! In response to something Whiskey said, I have updated my post on women & immigration. I got home today planning on doing a different GSS post. There had been two recent posts at the Hoover Hog on anti-semites, and a theme that stuck with me is the theory that Jews are pursuing a group evolutionary strategy against the white race. This is used by the racial right (although some deny being rightists) to explain Jewish liberalism. Half Sigma, in contrast, explains Jewish liberalism as being motivated to keep school prayer away from their kids, as Christianity with all its fun holidays and lack of dietary restrictions is just too much of a temptation for a Jewish mother to hazard. I’m going to look at questions that are racially vs religiously charged and compare the responses of Jews vs whites generally to see where the gap is larger.

LETIN for RELIG(3)

Summary Statistics
Mean = 3.45 Std Dev = .86 Coef var = .25
Median = 3.00 Variance = .74 Min = 2.00
Mode = 3.00 Skewness = .39 Max = 5.00
Sum = 235.02 Kurtosis = -.58 Range = 3.00
Distribution LETIN Cells contain: -Column percent -Weighted N 2: INCREASED A LITTLE 9.6 7 3: SAME AS NOW 50.3 34 4: DECREASED A LITTLE 25.6 17 5: DECREASED A LOT 14.4 10 100.0 68

For RACE(1)

Summary Statistics
Mean = 3.77 Std Dev = 1.00 Coef var = .27
Median = 4.00 Variance = 1.00 Min = 1.00
Mode = 3.00 Skewness = -.39 Max = 5.00
Sum = 8,381.33 Kurtosis = -.28 Range = 4.00
Distribution LETIN Cells contain: -Column percent -Weighted N 1: INCREASED A LOT 2.6 58 2: INCREASED A LITTLE 4.0 88 3: SAME AS NOW 36.8 818 4: DECREASED A LITTLE 27.3 606 5: DECREASED A LOT 29.4 654 100.0 2,224

The absolute difference in means divided by standard deviation for RACE(1): 0.32

AFFRMACT for RELIG(3)

Summary Statistics
Mean = 3.32 Std Dev = .95 Coef var = .29
Median = 4.00 Variance = .90 Min = 1.00
Mode = 4.00 Skewness = -1.23 Max = 4.00
Sum = 752.84 Kurtosis = .39 Range = 3.00
Distribution AFFRMACT Cells contain: -Column percent -Weighted N 1: STRONGLY SUPPORT PREF 8.1 18 2: SUPPORT PREF 9.8 22 3: OPPOSE PREF 24.6 56 4: STRONGLY OPPOSE PREF 57.5 131 100.0 227

For RACE(1)

Summary Statistics
Mean = 3.46 Std Dev = .83 Coef var = .24
Median = 4.00 Variance = .69 Min = 1.00
Mode = 4.00 Skewness = -1.59 Max = 4.00
Sum = 31,677.78 Kurtosis = 1.84 Range = 3.00
Distribution AFFRMACT Cells contain: -Column percent -Weighted N 1: STRONGLY SUPPORT PREF 5.4 494 2: SUPPORT PREF 5.8 536 3: OPPOSE PREF 26.4 2,422 4: STRONGLY OPPOSE PREF 62.3 5,712 100.0 9,163

The absolute difference in means divided by standard deviation for RACE(1): 0.17

RACPUSH (“(Negroes/blacks/African-Americans) shouldn’t push themselves where they’re not wanted.”) for RELIG(3)

Summary Statistics
Mean = 2.88 Std Dev = 1.13 Coef var = .39
Median = 3.00 Variance = 1.28 Min = 1.00
Mode = 4.00 Skewness = -.46 Max = 4.00
Sum = 1,187.31 Kurtosis = -1.24 Range = 3.00
Distribution RACPUSH Cells contain: -Column percent -Weighted N 1: AGREE STRONGLY 16.8 69 2: AGREE SLIGHTLY 20.2 83 3: DISAGREE SLIGHTLY 21.1 87 4: DISAGREE STRONGLY 41.9 173 100.0 412

For RACE(1)

Summary Statistics
Mean = 2.31 Std Dev = 1.10 Coef var = .47
Median = 2.00 Variance = 1.20 Min = 1.00
Mode = 1.00 Skewness = .27 Max = 4.00
Sum = 39,953.03 Kurtosis = -1.24 Range = 3.00
Distribution RACPUSH Cells contain: -Column percent -Weighted N 1: AGREE STRONGLY 29.7 5,138 2: AGREE SLIGHTLY 29.6 5,115 3: DISAGREE SLIGHTLY 21.0 3,639 4: DISAGREE STRONGLY 19.7 3,417 100.0 17,309

The absolute difference in means divided by standard deviation for RACE(1): 0.52

BUSING for RELIG(3)

Summary Statistics
Mean = 1.75 Std Dev = .43 Coef var = .25
Median = 2.00 Variance = .19 Min = 1.00
Mode = 2.00 Skewness = -1.17 Max = 2.00
Sum = 838.91 Kurtosis = -.63 Range = 1.00
Distribution BUSING Cells contain: -Column percent -Weighted N 1: FAVOR 24.7 118 2: OPPOSE 75.3 360 100.0 479

For RACE(1)

Summary Statistics
Mean = 1.79 Std Dev = .41 Coef var = .23
Median = 2.00 Variance = .17 Min = 1.00
Mode = 2.00 Skewness = -1.43 Max = 2.00
Sum = 35,480.28 Kurtosis = .04 Range = 1.00
Distribution BUSING Cells contain: -Column percent -Weighted N 1: FAVOR 20.9 4,145 2: OPPOSE 79.1 15,667 100.0 19,813

The absolute difference in means divided by standard deviation for RACE(1): 0.02

The average of the distances for racial issues comes out to: 1.03 / 4 =~ 0.26

Now for religiously charged issues.

ABANY (allow abortion for any reason) for RELIG(3)

Summary Statistics
Mean = 1.22 Std Dev = .41 Coef var = .34
Median = 1.00 Variance = .17 Min = 1.00
Mode = 1.00 Skewness = 1.35 Max = 2.00
Sum = 667.02 Kurtosis = -.19 Range = 1.00
Distribution ABANY Cells contain: -Column percent -Weighted N 1: YES 77.9 426 2: NO 22.1 121 100.0 546

For RACE(1)

Summary Statistics
Mean = 1.59 Std Dev = .49 Coef var = .31
Median = 2.00 Variance = .24 Min = 1.00
Mode = 2.00 Skewness = -.39 Max = 2.00
Sum = 39,058.99 Kurtosis = -1.85 Range = 1.00
Distribution ABANY Cells contain: -Column percent -Weighted N 1: YES 40.5 9,920 2: NO 59.5 14,570 100.0 24,489

The absolute difference in means divided by standard deviation for RACE(1): 0.76

SUICIDE4 (“Do you think a person has the right to end his or her own life if this person: d. Is tired of living and ready to die?”) for RELIG(3)

Summary Statistics
Mean = 1.70 Std Dev = .46 Coef var = .27
Median = 2.00 Variance = .21 Min = 1.00
Mode = 2.00 Skewness = -.85 Max = 2.00
Sum = 893.41 Kurtosis = -1.28 Range = 1.00
Distribution SUICIDE4 Cells contain: -Column percent -Weighted N 1: YES 30.4 160 2: NO 69.6 367 100.0 527

For RACE(1)

Summary Statistics
Mean = 1.85 Std Dev = .36 Coef var = .19
Median = 2.00 Variance = .13 Min = 1.00
Mode = 2.00 Skewness = -1.93 Max = 2.00
Sum = 40,740.61 Kurtosis = 1.71 Range = 1.00
Distribution SUICIDE4 Cells contain: -Column percent -Weighted N 1: YES 15.3 3,376 2: NO 84.7 18,682 100.0 22,058

The absolute difference in means divided by standard deviation for RACE(1): 0.42

HOMOSEX (does the human species contain more than one sexx…just kidding, you know what it is) for RELIG(3), excluded “OTHER” response.

Summary Statistics
Mean = 2.91 Std Dev = 1.31 Coef var = .45
Median = 4.00 Variance = 1.72 Min = 1.00
Mode = 4.00 Skewness = -.59 Max = 4.00
Sum = 1,611.33 Kurtosis = -1.45 Range = 3.00
Distribution HOMOSEX Cells contain: -Column percent -Weighted N 1: ALWAYS WRONG 28.5 158 2: ALMST ALWAYS WRG 5.4 30 3: SOMETIMES WRONG 13.3 74 4: NOT WRONG AT ALL 52.8 293 100.0 555

For RACE(1)

Summary Statistics
Mean = 1.82 Std Dev = 1.24 Coef var = .68
Median = 1.00 Variance = 1.54 Min = 1.00
Mode = 1.00 Skewness = .99 Max = 4.00
Sum = 46,007.10 Kurtosis = -.84 Range = 3.00
Distribution HOMOSEX Cells contain: -Column percent -Weighted N 1: ALWAYS WRONG 66.8 16,874 2: ALMST ALWAYS WRG 5.1 1,285 3: SOMETIMES WRONG 7.2 1,829 4: NOT WRONG AT ALL 20.9 5,269 100.0 25,258

The absolute difference in means divided by standard deviation for RACE(1): 0.88

PRAYER (approval of court ruling that no state/local government may require reading of Lord’s Prayer or Bible verses in public schools) for RELIG(3)

Summary Statistics
Mean = 1.18 Std Dev = .38 Coef var = .33
Median = 1.00 Variance = .15 Min = 1.00
Mode = 1.00 Skewness = 1.68 Max = 2.00
Sum = 622.06 Kurtosis = .81 Range = 1.00
Distribution PRAYER Cells contain: -Column percent -Weighted N 1: APPROVE 82.1 434 2: DISAPPROVE 17.9 94 100.0 528

For RACE(1)

Summary Statistics
Mean = 1.58 Std Dev = .49 Coef var = .31
Median = 2.00 Variance = .24 Min = 1.00
Mode = 2.00 Skewness = -.34 Max = 2.00
Sum = 34,658.31 Kurtosis = -1.88 Range = 1.00
Distribution PRAYER Cells contain: -Column percent -Weighted N 1: APPROVE 41.6 9,099 2: DISAPPROVE 58.4 12,780 100.0 21,879

The absolute difference in means divided by standard deviation for RACE(1): 0.82

Average of differences for religiously-tinged issues: 2.88 /4 = 0.72

I’m going to post this and then calculate the results. Are Jews laicites or multicultists? See if you can beat me to it! Yeah, I know I have a head start since you didn’t instantly start reading this as soon as I posted it. You just have to be both lucky and fast.

UPDATE: Finished. Half Sigma wins hands down. Granted, there was subjectivity in what questions I chose to analyze. Think you can do a better job? Get to it! So why did the racialists get it wrong? My guess is that race is simply more salient to them and because they consider it a major motivating factor they assume it must also be for Jews. Because they do not lump Jews in with whites and are themselves concerned with promoting the interests of whites, they think Jews must also contrast themselves with whites (though as Half Sigma has noted, Jews think of themselves as whites) and the status of whites must be their target.