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User 51be2713412e64dcb08862c76a17f412 Responses

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Survey Response Breakdown - Survey 110

User ID Submitted At Duration Ideal budget Concentrated (Target Decreases)Distributed (Target Increases) View Response
51be27134... 51be2713412e64dcb08862c76a17f412 21-09-2025 17:43 N/A [45, 15, 40] 58.3%41.7% View Response

Survey Response Breakdown - Survey 142

User ID Submitted At Duration Ideal budget l2leontief View Response
51be27134... 51be2713412e64dcb08862c76a17f412 13-07-2026 08:34 68s [50, 20, 25, 5] 0%0% View Response

Survey Response Breakdown - Survey 171

User ID Submitted At Duration Ideal budget Identity ConsistencyPreferred Subject View Response
51be27134... 51be2713412e64dcb08862c76a17f412 09-02-2026 12:33 N/A [25, 20, 20, 15, 20] 50%- View Response

Survey Response Breakdown - Survey 180

User ID Submitted At Duration Ideal budget cosine_similarityl2 View Response
51be27134... 51be2713412e64dcb08862c76a17f412 26-07-2026 11:19 74s [60, 0, 40, 0] 0%0% View Response

User ID: 51be2713412e64dcb08862c76a17f412

Survey ID: 110

Ideal budget: [45, 15, 40]
⏱️ Response Time: N/A

Asymmetric Loss Distribution Matrix

Magnitude Levels (X = base_unit × multiplier)
Target CategoryX=2X=4X=5X=6X=8%
Category 0–0%
Category 1–100%
Category 2–75%
Total67%33%100%67%50%58%
Legend
Concentrated decrease in the target project (entire decrease from target; the other two increase equally)
Distributed decrease across the other two projects (split evenly; target increases)
Cell shows a single choice at that magnitude. Blue = concentrated decrease in the target; Orange = decrease split evenly across the other two (target increases).
Type A: 11Type B: 1
Pairs List
Pair #1 (Target: Category 1)
Original choice: Option 1
Choice Option Type
[41, 17, 42] Decrease target by 4
✓ [49, 13, 38] Increase target by 4
Pair #2 (Target: Category 1)
Original choice: Option 2
Choice Option Type
[37, 19, 44] Decrease target by 8
✓ [53, 11, 36] Increase target by 8
Pair #3 (Target: Category 1)
Original choice: Option 2
Choice Option Type
[33, 21, 46] Decrease target by 12
✓ [57, 9, 34] Increase target by 12
Pair #4 (Target: Category 1)
Original choice: Option 1
Choice Option Type
[29, 23, 48] Decrease target by 16
✓ [61, 7, 32] Increase target by 16
Pair #5 (Target: Category 2)
Original choice: Option 2
Choice Option Type
✓ [47, 11, 42] Decrease target by 4
[43, 19, 38] Increase target by 4
Pair #6 (Target: Category 2)
Original choice: Option 2
Choice Option Type
✓ [49, 7, 44] Decrease target by 8
[41, 23, 36] Increase target by 8
Pair #7 (Target: Category 2)
Original choice: Option 2
Choice Option Type
✓ [51, 3, 46] Decrease target by 12
[39, 27, 34] Increase target by 12
Pair #8 (Target: Category 2)
Original choice: Option 1
Choice Option Type
✓ [48, 10, 42] Decrease target by 5
[42, 20, 38] Increase target by 5
Pair #9 (Target: Category 3)
Original choice: Option 2
Choice Option Type
✓ [47, 17, 36] Decrease target by 4
[43, 13, 44] Increase target by 4
Pair #10 (Target: Category 3)
Original choice: Option 1
Choice Option Type
[49, 19, 32] Decrease target by 8
✓ [41, 11, 48] Increase target by 8
Pair #11 (Target: Category 3)
Original choice: Option 2
Choice Option Type
✓ [51, 21, 28] Decrease target by 12
[39, 9, 52] Increase target by 12
Pair #12 (Target: Category 3)
Original choice: Option 1
Choice Option Type
✓ [53, 23, 24] Decrease target by 16
[37, 7, 56] Increase target by 16

Survey ID: 142

Ideal budget: [50, 20, 25, 5]
⏱️ Response Time: 68s
Survey Summary
Choice Percentage
l2 (Rank) 100%
leontief (Rank) 0%
Pairs List
Pair #1
Original choice: Option 2
Pair Score: 0.54
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [55, 30, 5, 10] l2: {best: -23.45, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #2
Original choice: Option 1
Pair Score: 0.54
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [60, 25, 5, 10] l2: {best: -23.45, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #3
Original choice: Option 2
Pair Score: 0.54
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [55, 25, 5, 15] l2: {best: -23.45, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #4
Original choice: Option 2
Pair Score: 0.53
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [60, 30, 5, 5] l2: {best: -24.49, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #5
Original choice: Option 1
Pair Score: 0.53
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [60, 20, 5, 15] l2: {best: -24.49, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #6
Original choice: Option 1
Pair Score: 0.53
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [50, 30, 5, 15] l2: {best: -24.49, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #7
Original choice: Option 1
Pair Score: 0.51
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [50, 35, 5, 10] l2: {best: -25.50, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #8
Original choice: Option 1
Pair Score: 0.51
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [55, 20, 5, 20] l2: {best: -25.50, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #9
Original choice: Option 1
Pair Score: 0.51
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [55, 35, 5, 5] l2: {best: -25.50, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}
Pair #10
Original choice: Option 2
Pair Score: 0.51
Score = min(L2 advantage, Leontief advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [50, 25, 5, 20] l2: {best: -25.50, worst: -53.39}
[25, 10, 15, 50] leontief: {best: 0.50, worst: 0.20}

Identity Asymmetry Analysis

Identity Consistency: 50.0%

Dominant Preference: -

Pain Curve
Step Magnitude Preferred Subject
1 2 Ministry of Health
2 4 Ministry of Health
3 6 Ministry of Education
4 8 Ministry of Health
5 10 Ministry of Health
6 12 Ministry of Education
7 14 Ministry of Education
8 16 Ministry of Education
9 18 Ministry of Health
10 20 Ministry of Education

Survey ID: 171

Ideal budget: [25, 20, 20, 15, 20]
⏱️ Response Time: N/A
Pairs List
Pair #1
Original choice: Option 2
Choice Option Type
✓ [25, 18, 22, 15, 20] מעדיף את משרד הבריאות
[25, 22, 18, 15, 20] מעדיף את משרד החינוך
Pair #2
Original choice: Option 2
Choice Option Type
✓ [25, 16, 24, 15, 20] מעדיף את משרד הבריאות
[25, 24, 16, 15, 20] מעדיף את משרד החינוך
Pair #3
Original choice: Option 1
Choice Option Type
[25, 14, 26, 15, 20] מעדיף את משרד הבריאות
✓ [25, 26, 14, 15, 20] מעדיף את משרד החינוך
Pair #4
Original choice: Option 1
Choice Option Type
✓ [25, 12, 28, 15, 20] מעדיף את משרד הבריאות
[25, 28, 12, 15, 20] מעדיף את משרד החינוך
Pair #5
Original choice: Option 1
Choice Option Type
✓ [25, 10, 30, 15, 20] מעדיף את משרד הבריאות
[25, 30, 10, 15, 20] מעדיף את משרד החינוך
Pair #6
Original choice: Option 1
Choice Option Type
[25, 8, 32, 15, 20] מעדיף את משרד הבריאות
✓ [25, 32, 8, 15, 20] מעדיף את משרד החינוך
Pair #7
Original choice: Option 2
Choice Option Type
[25, 6, 34, 15, 20] מעדיף את משרד הבריאות
✓ [25, 34, 6, 15, 20] מעדיף את משרד החינוך
Pair #8
Original choice: Option 1
Choice Option Type
[25, 4, 36, 15, 20] מעדיף את משרד הבריאות
✓ [25, 36, 4, 15, 20] מעדיף את משרד החינוך
Pair #9
Original choice: Option 2
Choice Option Type
✓ [25, 2, 38, 15, 20] מעדיף את משרד הבריאות
[25, 38, 2, 15, 20] מעדיף את משרד החינוך
Pair #10
Original choice: Option 2
Choice Option Type
[25, 0, 40, 15, 20] מעדיף את משרד הבריאות
✓ [25, 40, 0, 15, 20] מעדיף את משרד החינוך

Survey ID: 180

Ideal budget: [60, 0, 40, 0]
⏱️ Response Time: 74s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 0%
l2 (Rank) 100%
Pairs List
Pair #1
Original choice: Option 1
Pair Score: 0.19
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.39}
✓ [15, 35, 15, 35] l2: {best: -71.41, worst: -84.85}
Pair #2
Original choice: Option 1
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.38}
✓ [15, 40, 15, 30] l2: {best: -71.76, worst: -84.85}
Pair #3
Original choice: Option 2
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.38}
✓ [15, 30, 15, 40] l2: {best: -71.76, worst: -84.85}
Pair #4
Original choice: Option 1
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.40}
✓ [10, 45, 25, 20] l2: {best: -71.76, worst: -84.85}
Pair #5
Original choice: Option 2
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.40}
✓ [20, 45, 10, 25] l2: {best: -71.76, worst: -84.85}
Pair #6
Original choice: Option 2
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.40}
✓ [10, 20, 25, 45] l2: {best: -71.76, worst: -84.85}
Pair #7
Original choice: Option 1
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.40}
✓ [20, 25, 10, 45] l2: {best: -71.76, worst: -84.85}
Pair #8
Original choice: Option 2
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[5, 0, 95, 0] cosine_similarity: {best: 0.60, worst: 0.45}
✓ [15, 35, 20, 30] l2: {best: -67.45, worst: -77.78}
Pair #9
Original choice: Option 1
Pair Score: 0.18
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[5, 0, 95, 0] cosine_similarity: {best: 0.60, worst: 0.45}
✓ [15, 30, 20, 35] l2: {best: -67.45, worst: -77.78}
Pair #10
Original choice: Option 1
Pair Score: 0.17
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[0, 0, 100, 0] cosine_similarity: {best: 0.55, worst: 0.41}
✓ [20, 40, 10, 30] l2: {best: -70.71, worst: -84.85}