Below are the data for Experiment 1 in §2, the small experiment, and Experiment 2 in §3, the Large experiment. EXPLANATION OF THE VARIABLES ID: subject nr. in this data file Exp: Experiment 1, small (s) of §2; being first 30 subjects numbered 1-30 or Experiment 2, large (L) of §3; being next 80 subjects numbered 31-110 Age: age Male: Gender; 1: male; 0: female National: Nationality For Experiment 1, or s, besides the above variables, we only measured: Mugm: §2, Mug matching, for all subjects 1-30 We did not measure other variables for these subjects. The rest of this explanation only describes Experiment 2, or L, for its subjects numbered 31-110. Mugm: §3.1, Mug matching (only for subjects 31-71) Mugc: §3.1, Mug choice (only for subjects 72-110) All other variables in Experiment 2, or L, are for all 80 subjects 31-110 Chocm: §3.3, Choco matching Chocc: §3.3, Choco choice PRc: §3.4 (preference reversal) choice; 1: chose P-bet; 2: chose $-bet PRp: §3.4 (preference reversal) certainty equivalent of P-bet PRd: §3.4 (preference reversal) certainty equivalent of $-bet PRr: §3.4 (preference reversal); 1: a preference reversal occurred; 0: no pref. reversal occurred Am: §3.6 (amb) Matching probability of “middle” event, denoted A there Au: §3.6 (amb) Matching probability of “up” event, denoted B there Amu: §3.6 (amb) Matching probability of “middle or up” event, denoted A union B there The data are tab-delimited. THE DATA ID Exp Age Male National Mugm Mugc Chocm Chocc PRc PRp PRd PRr Am Au Amu 1 s 22 0 Chinese 8 2 s 25 0 Romanian 3.2 3 s 23 0 Bulgaria 4 4 s 19 0 Dutch 5 5 s 22 1 German 3.33 6 s 22 0 Chinese 7.5 7 s 19 1 Dutch 2 8 s 22 1 Dutch 8 9 s 27 1 Pakistan 2.5 10 s 19 1 Dutch 1 11 s 20 1 Dutch 2.5 12 s 23 1 Dutch 4 13 s 25 1 Dutch 3 14 s 21 0 Dutch 4.5 15 s 18 0 Dutch 3.5 16 s 26 1 Norwegia 5 17 s 21 1 Lithuani 5.5 18 s 19 1 Ukrainia 7.5 19 s 23 0 Chinese 3.5 20 s 23 1 Chinese 5 21 s 28 0 Chinese 10 22 s 22 0 Chinese 5 23 s 18 1 Dutch 9 24 s 21 1 Dutch 2 25 s 23 1 Romanian 8.2 26 s 22 1 Bulgaria 4 27 s 19 0 Dutch 7.5 28 s 19 1 Dutch 6 29 s 16 1 Dutch 2.1 30 s 19 0 Italian 7.5 31 L 24 1 Romanian 5 6 7 2 4 5 0 0.95 0.1 0.99 32 L 23 1 Latvian 1 0.01 3 2 1 1 0 0.01 0.01 0.08 33 L 25 0 Lithuani 2.5 2 2 2 3.5 5 0 0.9 0.8 0.95 34 L 18 1 Dutch 3 5 5 2 4 6 0 0.4 0.5 0.5 35 L 19 0 Dutch 5 3 3 2 4.01 8 0 0.5 0.4 0.5 36 L 18 1 Dutch 1.9 0.9 2 2 3.9 5 0 0.8 0.5 0.8 37 L 19 0 Dutch 1 2 2 2 4 5 0 0.5 0.25 0.5 38 L 19 0 Dutch 2.6 1.5 3 2 4 10 0 0.27 0.32 0.25 39 L 20 0 Dutch 2 2.5 3 2 12 7.5 1 0.02 0.01 0.52 40 L 24 1 Lithuani 3.25 3 3 2 4.01 5.3 0 0.7 0.01 0.61 41 L 19 1 Dutch 1.99 2.99 3 2 3.88 4.25 0 0.95 0.15 0.95 42 L 19 1 Dutch 2 3.5 3 2 5 5 0 1 0 1 43 L 20 0 Dutch 3 3 4 2 4 5 0 0.75 0.6 0.4 44 L 18 0 Dutch 2.5 5 5 1 3.5 5 1 0.6 0.4 0.85 45 L 21 0 Chinese 4 3 4 2 4 5 0 0.8 0.1 0.9 46 L 20 1 Chinese 5 5 4 2 4.8 0 0.49 1 0.69 47 L 19 0 Dutch 2 5 5 2 4 5 0 0.25 0.75 0.1 48 L 20 0 Dutch 0 2.5 2 2 7 6 1 0.55 0.43 0.6 49 L 19 1 Dutch 2 2 2 2 3.88 4.96 0 1 0 1 50 L 19 1 Polish 3.99 4 2 1 8 6 0 0.45 0.65 0.8 51 L 19 0 German 4.5 0 3 2 4 10 0 1 0.5 1 52 L 24 0 Polish 3.5 3 3 2 3.9 7.5 0 0.8 0.5 0.85 53 L 20 0 Dutch 3 4 4 2 3.75 5.75 0 0.6 0.3 0.65 54 L 19 0 Dutch 5 5 5 2 7 5 1 0.7 0.6 0.8 55 L 19 0 Chinese 3.5 2 3 2 10 4 1 0.3 0.5 0.9 56 L 19 0 Dutch 2.5 2 4 1 5 4 0 0.18 0.3 0.17 57 L 26 0 Chinese 8 2.65 3 2 9.25 7 1 0 0.54 0.6 58 L 27 1 Italian 4 4 2 2 3 2 1 0.95 0 0.9 59 L 23 0 Chinese 10 2 2 2 4 5 0 0.005 0.01 0.98 60 L 23 0 Chinese 2 1 2 2 4 7 0 0.48 0.4 0.51 61 L 20 1 Dutch 0.6 2 2 2 3.87 5 0 0.95 0.2 0.95 62 L 21 1 Dutch 6 1.5 3 2 5 7.5 0 0.9 0.2 0.1 63 L 19 0 Dutch 1 1.75 2 2 3.88 4.96 0 0.5 0.25 0.75 64 L 23 1 Polish 2.9 1.5 2 1 6.55 7.2 1 0.9 0.09 0.95 65 L 23 0 Bulgaria 0.95 1 1 1 5 4 0 0 0 0 66 L 18 1 Malaysia 4.5 2.5 3 2 4 6 0 0.75 0.4 0.5 67 L 19 1 Dutch 1 1 1 2 3.5 4 0 0.95 0.1 0.95 68 L 19 1 Dutch 2.5 3.44 4 2 3.66 5.25 0 0.05 0.44 0.8 69 L 19 1 Dutch 5 6.75 7 2 5 10 0 0.85 0.25 0.9 70 L 27 1 Iranian 2.5 3 2 2 3 8 0 0.5 0.5 0.5 71 L 18 0 Dutch 3.95 4.5 5 1 4 5 1 0.5 0.5 0.7 72 L 19 0 Dutch 1 4 2 1 4 5 1 0.6 0.05 0.001 73 L 20 1 Chinese 2 5 5 1 4 2 0 0.75 0.45 0.8 74 L 22 1 Dutch 4 6.5 6 1 3.88 4.96 1 0.9 0.1 0.99 75 L 24 1 Bulgaria 5 6 5 2 9.5 9.5 0 0.99 0.55 0.89 76 L 23 1 Polish 5 4 5 2 3.88 12 0 0.4 0.5 0.55 77 L 20 1 Dutch 3 2 2 2 3.9 5 0 0.6 0.8 0.8 78 L 24 1 Polish 3 1.99 2 2 7 11 0 0.8 0.3 0.8 79 L 19 1 Dutch 4 2 1 2 4 4.5 0 0.7 0.2 0.8 80 L 19 1 Dutch 2 2 2 2 3.9 6 0 0.75 0.51 0.6 81 L 24 0 Romanian 2 5.5 4 2 4 10 0 0.4 0.1 0.2 82 L 19 1 Dutch 2 3 3 1 3.95 4.8 1 0.35 0.6 0.8 83 L 21 0 Chinese 4 1.2 3 2 6 9 0 0.4 0.6 0.8 84 L 22 1 Romanian 9 5 5 2 5 3 1 0.7 0.8 0.85 85 L 18 1 Dutch 0 1.5 2 1 3.5 4 1 0.62 0.55 0.8 86 L 18 1 German 2 1 1 2 3.88 5.3 0 0.5 0.4 0.8 87 L 23 0 Russian 6 6 5 2 3 10 0 0.01 0.6 0.8 88 L 19 1 Dutch 0 5.5 5 2 3.9 5 0 0.34 0.5 0.5 89 L 21 0 Chinese 4 6 5 1 10 10.1 1 0.5 0.5 0.5 90 L 24 0 Czech 3 4 4 2 3.88 5 0 0.8 0.5 0.9 91 L 26 0 Bulgaria 4 8 0 2 3 1.5 1 0.1 0.45 0.3 92 L 19 1 Dutch 4 4.5 4 1 5 10 1 0.05 0.05 0.8 93 L 29 1 Irish 3 3 4 2 1 8 0 0.8 0.2 0.7 94 L 23 1 Dutch 5 5 7 2 3.75 5 0 0.9 0.9 0.9 95 L 20 1 Dutch 10 3 5 1 4 4 0 0.75 0.75 0.85 96 L 20 1 Dutch 5 6 6 2 4 10 0 0.85 0.5 0.9 97 L 18 1 Dutch 4 4.51 5 2 4.01 5 0 0.64 0.04 0.8 98 L 24 1 Chinese 4 2 1 1 1 2.5 1 0.2 0.01 0.2 99 L 25 1 German 10 3.5 2 2 3.8 6 0 0.8 0.2 0.8 100 L 20 1 Dutch 0 1 1 2 4 5 0 0.5 0.5 0.8 101 L 19 1 Dutch 4 6.5 7 2 3.8 5.6 0 0.25 0.15 0.35 102 L 19 1 Dutch 0 2 0 2 5 3 1 0.3 0.4 0.6 103 L 19 0 Dutch 1 1 1 1 3 2 0 0.4 0.3 0.5 104 L 23 1 Lithuani 3 3.5 3 2 10 5 1 0.2 0.4 0.6 105 L 19 0 Dutch 3 1 1 1 3.5 1 0 0.9 0.9 0.9 106 L 18 0 Dutch 1 3.5 3 2 10 10 0 0.58 0.3 0.25 107 L 20 1 Chinese 5 4.28 2 2 9.25 6.01 0 0.25 0.3 1 108 L 21 1 Chinese 6 6.5 6 2 10 10 1 0.5 0.5 0.3 109 L 22 1 Bulgaria 1 2 2 2 3.5 4.8 0 0.8 0.2 0.8 110 L 19 0 Lithuani 7 5 4 2 4.1 16.01 0 0.9 0.05 -0.005