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Hypothesis #
Effect nameGroup Prediction Cohen's d
Absolute Effect Size
Supported?
2
7bRisk - 5 save 100% vs. 500 save 1%LondonRisk aversion (<50)-2.242.24Yes
3
7aRisk - 5 save 100% vs. 5000 save 0.1%LondonRisk aversion (<50)-1.781.78Yes
4
7cRisk - 5 save 100% vs. 50 save 10%London, RomeRisk aversion (<50)-1.721.72Yes
5
49Information sharingTokyo, Manila and RomeInformation sharing > No information sharing (<50)-1.661.66Yes
6
6aCertainty - 10 save 100% vs 20 save 50%Helsinki, MadridRisk aversion (<50)-1.611.61Yes
7
46ReputationMalé, ManilaReputation > Lower reputation (<50)-1.591.59Yes
8
6cCertainty - 1 save 100% vs. 10 save 10%Rome, SeoulRisk aversion (<50)-1.511.51Yes
9
18Neglectedness
Seoul, Hanoi, Vienna, Helsinki
Neglectedness > Common (>50)1.441.44Yes
10
60Personal experience
London, Oslo, Vienna, Tokyo
Personal experience > No personal experience (<50)-1.301.30Yes
11
70Temporal proximity
Manila, Helsinki, Oslo, Rome
Proximate > Distant (<50)-1.281.28Yes
12
52Reputation 2ManilaAdvertisements > No advertisements (<50)-1.241.24Yes
13
41Donation amountMadrid10x > X (>50)-1.141.14No
People prefer less funded charities
14
90Membership (ingroup)MadridMember > Not a member (<50)-1.061.06Yes
15
4bSingularity - 1 boy vs 3 childrenSingapore
People donate more to the 1 boy compared to 3 children (<50)
1.061.06No
(ignore, see alternative test) Weaker support for IVE than expected. People take numbers into account, but allocation per person for 3 children vs 1 < 2 children vs 1.
16
1aFraming positive
Bangkok, Vienna, Madrid, Oslo
tendency towards risk aversion (<50).-1.041.04Yes
17
2bEffort - 10 mileBangkok, Oslo, Rome
People prefer donations without additional obligations over donations attending highly effortful events.
0.980.98No
People prefer less effort
18
4bSingularity - 1 girl vs 3 children
People donate more to the 1 boy compared to 3 children (<50)
0.980.98No
(ignore, see alternative test) Weaker support for IVE than expected. People take numbers into account, but allocation per person for 3 children vs 1 < 2 children vs 1.
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32Local endorsementLocal endorsement > No endorsement (<50)-0.980.98Yes
20
6dCertainty - 75 save 100% vs. 100 save 80%Risk aversion (<50)-0.950.95Yes
21
28Personal relevance: Loved onesLondon, Oslo, ViennaPersonal relevance > No relevance (<50)-0.950.95Yes
22
29Personal relevance: Own riskPersonal relevance > No relevance (<50)-0.910.91Yes
23
2cEffort - 1 mileBangkok, Oslo, Rome
People prefer donations without additional obligations over donations attending mildly effortful events
0.900.90No
People prefer less effort
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5a10 animals vs 10 childrenParis, Vienna, HanoiPeople prefer 10 children over 10 animals (>50)0.870.87Yes
25
3bChildren vs animalsHanoi, SeoulChildren > animals (<50)-0.870.87Yes
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4aSingularity - 1 boy vs 2 childrenLondon
People donate more to the 1 boy compared to 2 children (<50)
0.820.82No
(ignore) Weaker support for IVE than expected. People take numbers into account, but allocation per person for 3 children vs 1 < 2 children vs 1.
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40Other donationsOslo1000 > 100 (<50)0.820.82Yes
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76DesignationSeoulDesignated > Not designated (<50)-0.790.79Yes
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73Level of sharingHigh sharing > Low sharing (<50)-0.790.79Yes
30
23Food vs textbooksHanoiFood > textbooks (<50)-0.790.79Yes
31
71Matching vs refundRomeMatching > refund (<50)-0.790.79Yes
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54MatchingManilaAttention > Less attention (<50)-0.780.78Yes
33
82Local US community vs. Africa
Tokyo, Vienna, Singapore, Oslo
Ingroup > Outgroup (<50)-0.780.78Yes
34
74Side effectsNo side-effects > Side-effect (>50)0.760.76Yes
35
69Familiarity 2RomeFamiliar > Less familiar (<50)0.750.75No
People prefer the less familiar with fewer donations
36
15Information/Updates
Bangkok, London, Rome, Tokyo
With information updates > without updates (<50)-0.720.72Yes
37
59Religious affiliationMadrid, OsloReligious affiliation > No religious affiliation (<50)0.710.71No
People prefer religious affiliation (might be a US thing)
38
12Common in regionCommon in region > less common in region (<50)-0.700.70Yes
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20FramingHanoi, OsloNegative > Positive (>50)-0.650.65Yes
People prefere positive message framing
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50Share success storiesShares success stories > No sharing success stories (<50)-0.640.64Yes
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85Based in US vs. foreignTokyoIngroup > Outgroup (>50)0.620.62Yes
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63OperationalOperational > Not yet operational (<50)-0.620.62Yes
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62Local government fundingOslo
Local government funding > No local government funding (>50)
0.620.62Yes
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2aEffort - picnicBangkok, Paris, Rome
People prefer donations without additional obligations over donations attending relaxing events.
0.610.61No
People prefer less effort
45
36Shared beliefs 1Madrid, Paris, MaléShared beliefs > No info (<50)-0.610.61Yes
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27US vs AfricaHelsinki, LondonIngroup > Outgroup (<50)-0.590.59Yes
47
66US region vs. not in regionProximate > Distant (<50)-0.580.58Yes
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81Diversifaction: Single vs multiple treatmentsMultiple treatments (diversification) > Single treatment (>50)0.570.57Yes
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5a10 animals vs 1 childParis, ViennaPeople prefer 1 child over 10 animals (>50)0.560.56Yes
50
51Norms 2Manila, Malé, Olso, LondonNormative > No info (<50)-0.540.54Yes
51
19GenderHanoiFemales > Males (<50)-0.530.53Yes
52
45Donor background: Lower classLower class = No info (50; null)-0.520.52
Null hypothesis - found support for lower class over no info
53
64Preventive vs RemedyOsloRemedy > Preventive (>50)-0.510.51No
People prefer preventive
54
11Tax deductionHelsinki, Bangkok and Oslo
qualifies for tax deduction > does not qualify for tax deduction (>50)
0.510.51Yes
55
79Giving multiplierSingaporeGiving multiplier with matching > Regular (>50)-0.500.50No
People prefer their own. Should be rephrased to compared against 0
56
87Sharing on each donation vs aggregateSharing on each donation > aggregate (<50)-0.480.48Yes
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6bCertainty - 10 save 100% vs. 20 save 80%OsloRisk aversion (<50)-0.460.46Yes
58
35Charity ageMadridOlder > Newer (>50)0.450.45Yes
59
44Donor background: WealthyMaléWealthy = No info (50; null)0.440.44
Null hypothesis - found support for wealthy over no info
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83Infrastructures vs direct unconditional cash transfersInfrastructures > direct unconditional cash transfers (<50)-0.430.43Yes
61
16Well established vs New
Well established > Latest development (>50) H16b: Well established < Latest development (<50)
0.420.42Yes
62
77Sharing on social mediaManila, SeoulSharing > Not sharing (<50)-0.420.42Yes
63
13NormsBangkok80% in city > 20% in city (<50)0.410.41No
People prefer the less familiar with fewer donations
64
1bFraming negativeTokyo, Oslo
In negative framing, people show a tendency towards risk seeking
-0.410.41No
(see combined with positive, supported in that comparison)
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33Rare vs frequentLondon, Vienna, RomeRare < Frequent (>50)0.370.37Yes
66
21RecencyHanoiRecency > Unspecified (>50)0.360.36Yes
67
5a100 animal vs 1 childParis and ViennaPeople prefer 1 child over 100 animals (>50)0.360.36Yes
68
22Direct cash transfer vs suppliesHanoiSupplies > Direct cash transfer (>50)0.350.35Yes
69
24PromotionHanoiNo promotion > Promotion (<50)-0.340.34Yes
70
55AttentionAttention > Less attention (<50)0.340.34No
People prefer the less familiar with fewer donations
71
37Shared beliefs 2 No info > No shared beliefs (>50)0.310.31No
Higher than p = .001
72
3aAll children vs orphans
People prefer to donate to orphans over donating to all children.
-0.310.31No
People prefer to all children
73
17OptimismOptimistic > Pessimistic (>50)0.290.29No
Higher than p = .001
74
58Recipient detailsOsloRecipient details > No recipient details (<50)-0.290.29No
Higher than p = .001
75
78Friends donatedSeoul, Hanoi, Malé, ViennaFriends donated > No info (<50)-0.290.29No
Higher than p = .001
76
38Direct vs indirect cash transfersHanoiIndirect > Direct (>50)-0.290.29No
People prefer direct not through mediator
77
68Train vs planes with offsetsRomeTrain > Planes offsets (<50)-0.290.29No
Higher than p = .001
78
67Minorities vs allAll > Minorities (>50)0.290.29No
Higher than p = .002
79
26Proportion 1 Refugee campHanoi, London, Madrid
High proportion (Smaller camp) > Low proportion (Larger camp) (<50)
-0.270.27No
Higher than p = .003
80
48Refund bonusesMaléRefund bonuses > Regular refund (<50)-0.240.24No
Higher than p = .004
81
88Proportion 2: Specific communitiesTokyo and Vienna
High proportion (Smaller camp) > Low proportion (Larger camp) (<50)
-0.240.24No
Higher than p = .005
82
47Personal case studies vs evidence
Malé, Seoul, Tokyo, Helsinki, Paris
Personal case studies > evidence (<50)0.220.22No
Higher than p = .006
83
5b1 animal vs 1000 treesParis and ViennaPeople prefer 1 animal over 1000 trees0.220.22No
Higher than p = .007
84
86Experts vs RCTsExperts > RCTs (<50)0.210.21No
Higher than p = .008
85
53AdvertisementsManilaMatching > No matching (<50)0.210.21No
Higher than p = .009
86
65Lottery vs first comeLottery > First come (<50)0.210.21No
Higher than p = .010
87
42Celebrity endorsementMalé and OsloCelebrity endorsement > No celebrity endorsement (<50)0.210.21No
Higher than p = .011
88
39Single vs multiple causesMadridmultiple > single causes (>50)0.200.20No
Higher than p = .012
89
57Recipient effortManilaRecipient details > No recipient details (<50)-0.190.19No
Higher than p = .013
90
56Planting trees vs. Supporting local communitiesManilaSupporting local communities > Planting trees0.170.17No
Higher than p = .014
91
89Short vs long termLong term > Short term (>50)-0.170.17No
Higher than p = .015
92
30Regular media/Social mediaLondon, MadridRegular media > Social media (>50)0.120.12No
Higher than p = .016
93
80Recipients' mood presentationHanoi
Happy and joyful > Sad and miserable (<50) (more relatedness) H80b: Happy and joyful < Sad and miserable (>50) (more empathy)
-0.110.11No
Higher than p = .017
94
34Familiarity
Madrid, Oslo, Toyko, Vienna
Familiar < Less familiar (<50)-0.110.11No
Higher than p = .018
95
75Sharing previous donorsRome
No sharing > Sharing (>50) (People prefer anonymity) H75b: Sharing > No sharing (<50) (People prefer transparency)
-0.110.11No
Higher than p = .019
96
43Thank you notesMale, OsloThank you notes > No thank you notes (<50)-0.100.10No
Higher than p = .020
97
14Preventive vs TreatmentBangkokTreatment > Preventive (<50)0.090.09No
Higher than p = .021
98
4aSingularity - 1 girl vs 2 children
People donate more to the 1 girl compared to 2 children (<50)
-0.080.08No
Higher than p = .022
99
31Immediate relief vs root causes
London, Rome, Singapore, Seoul, Madrid, Oslo
Immediate relief > Root causes (<50)0.070.07No
Higher than p = .023
100
72Execution timeRomeSooner > Later (<50)-0.060.06No
Higher than p = .024