Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won33 countries · 4 lives left
FrancevsBurundi
Wealth per person: 60,927 vs 1,147 int’l $ · Higher wins ↑
Conquered Burundi.
Other category comparisons 4 other winning choices
All eight categories for France against Burundi
Category
France
Burundi
Result
Areakm² · Higher wins ↑
551,500
27,830
Would win
Populationpeople · Higher wins ↑
65,925,961
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
1,147
Would win
Densityper km² · Higher wins ↑
119.5
491.9
Would lose
Highest peakm · Higher wins ↑
4,810
2,685
Would win
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
3.4° S
Would lose
22
Round 22Won34 countries · 4 lives left
SudanvsHaiti
Area: 1,861,484 vs 27,750 km² · Higher wins ↑
Conquered Haiti.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Haiti
Category
Sudan
Haiti
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
27,750
Would win
Populationpeople · Higher wins ↑
50,042,791
11,637,398
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
3,265
Would lose
Densityper km² · Higher wins ↑
26.9
419.4
Would lose
Highest peakm · Higher wins ↑
3,042
2,674
Would win
Coastlinekm · Higher wins ↑
853
1,771
Would lose
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
19.2° N
Would win
23
Round 23Won35 countries · 4 lives left
MexicovsCosta Rica
Area: 1,964,375 vs 51,100 km² · Higher wins ↑
Conquered Costa Rica.
Other category comparisons 4 other winning choices
All eight categories for Mexico against Costa Rica
Category
Mexico
Costa Rica
Result
Areakm² · Higher wins ↑ · Chosen
1,964,375
51,100
Would win
Populationpeople · Higher wins ↑
129,739,759
5,105,525
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
29,248
Would lose
Densityper km² · Higher wins ↑
66.0
99.9
Would lose
Highest peakm · Higher wins ↑
5,636
3,819
Would win
Coastlinekm · Higher wins ↑
9,330
1,290
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
10.1° N
Would lose
24
Round 24Won36 countries · 4 lives left
BelarusvsPhilippines
Wealth per person: 30,860 vs 10,995 int’l $ · Higher wins ↑
Conquered Philippines.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Philippines
Category
Belarus
Philippines
Result
Areakm² · Higher wins ↑
207,600
300,000
Would lose
Populationpeople · Higher wins ↑
9,178,298
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
10,995
Would win
Densityper km² · Higher wins ↑
44.2
383.0
Would lose
Highest peakm · Higher wins ↑
346
2,954
Would lose
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
17.0° N
Would lose
25
Round 25Won37 countries · 4 lives left
IrelandvsArgentina
Wealth per person: 133,440 vs 30,246 int’l $ · Higher wins ↑
Conquered Argentina.
Other category comparisons 1 other winning choice
All eight categories for Ireland against Argentina
Category
Ireland
Argentina
Result
Areakm² · Higher wins ↑
70,273
2,780,400
Would lose
Populationpeople · Higher wins ↑
5,311,538
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
30,246
Would win
Densityper km² · Higher wins ↑
75.6
16.4
Would win
Highest peakm · Higher wins ↑
1,041
6,962
Would lose
Coastlinekm · Higher wins ↑
1,448
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
31.4° S
Would lose
26
Round 26Won38 countries · 4 lives left
Sri LankavsGermany
Proximity to equator: 7.1° N vs 51.0° N from the equator · Closer wins ↓
Conquered Germany.
Other category comparisons 2 other winning choices
All eight categories for Sri Lanka against Germany
Category
Sri Lanka
Germany
Result
Areakm² · Higher wins ↑
65,610
357,022
Would lose
Populationpeople · Higher wins ↑
22,037,000
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
14,512
72,262
Would lose
Densityper km² · Higher wins ↑
335.9
233.3
Would win
Highest peakm · Higher wins ↑
2,524
2,963
Would lose
Coastlinekm · Higher wins ↑
1,340
2,389
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
51.0° N
Would win
27
Round 27Won39 countries · 4 lives left
NigervsUnited States
Proximity to equator: 17.6° N vs 39.1° N from the equator · Closer wins ↓
Conquered United States.
Other category comparisons 0 other winning choices
All eight categories for Niger against United States
Category
Niger
United States
Result
Areakm² · Higher wins ↑
1,267,000
9,833,517
Would lose
Populationpeople · Higher wins ↑
26,159,867
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
82,587
Would lose
Densityper km² · Higher wins ↑
20.6
34.2
Would lose
Highest peakm · Higher wins ↑
2,022
6,190
Would lose
Coastlinekm · Higher wins ↑
0
19,924
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.6° N
39.1° N
Would win
28
Round 28Won40 countries · 4 lives left
TunisiavsJamaica
Area: 163,610 vs 10,991 km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 3 other winning choices
All eight categories for Tunisia against Jamaica
Category
Tunisia
Jamaica
Result
Areakm² · Higher wins ↑ · Chosen
163,610
10,991
Would win
Populationpeople · Higher wins ↑
12,200,431
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
14,052
12,661
Would win
Densityper km² · Higher wins ↑
74.6
258.4
Would lose
Highest peakm · Higher wins ↑
1,544
2,256
Would lose
Coastlinekm · Higher wins ↑
1,148
1,022
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
18.1° N
Would lose
29
Round 29Won41 countries · 4 lives left
GabonvsMorocco
Proximity to equator: 0.6° S vs 31.9° N from the equator · Closer wins ↓
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Gabon against Morocco
Category
Gabon
Morocco
Result
Areakm² · Higher wins ↑
267,667
446,550
Would lose
Populationpeople · Higher wins ↑
2,484,789
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
9,903
Would win
Densityper km² · Higher wins ↑
9.3
84.5
Would lose
Highest peakm · Higher wins ↑
1,050
4,165
Would lose
Coastlinekm · Higher wins ↑
885
1,835
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
31.9° N
Would win
30
Round 30Won42 countries · 4 lives left
Timor-LestevsEthiopia
Coastline: 706 vs 0 km · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 1 other winning choice
All eight categories for Timor-Leste against Ethiopia
Category
Timor-Leste
Ethiopia
Result
Areakm² · Higher wins ↑
14,874
1,104,300
Would lose
Populationpeople · Higher wins ↑
1,384,286
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
3,063
Would win
Densityper km² · Higher wins ↑
93.1
116.5
Would lose
Highest peakm · Higher wins ↑
2,963
4,550
Would lose
Coastlinekm · Higher wins ↑ · Chosen
706
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
8.5° N
Would lose
31
Round 31Won43 countries · 4 lives left
LibyavsParaguay
Coastline: 1,770 vs 0 km · Higher wins ↑
Conquered Paraguay.
Other category comparisons 3 other winning choices
All eight categories for Libya against Paraguay
Category
Libya
Paraguay
Result
Areakm² · Higher wins ↑
1,759,540
406,752
Would win
Populationpeople · Higher wins ↑
7,305,659
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
17,585
Would lose
Densityper km² · Higher wins ↑
4.2
16.8
Would lose
Highest peakm · Higher wins ↑
2,267
842
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,770
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
21.6° S
Would lose
32
Round 32Won44 countries · 4 lives left
New ZealandvsCuba
Highest peak: 3,724 vs 1,974 m · Higher wins ↑
Conquered Cuba.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against Cuba
Category
New Zealand
Cuba
Result
Areakm² · Higher wins ↑
268,838
110,860
Would win
Populationpeople · Higher wins ↑
5,200,000
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
54,950
Unavailable
Unavailable
Densityper km² · Higher wins ↑
19.3
99.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,724
1,974
Would win
Coastlinekm · Higher wins ↑
15,134
3,735
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
20.6° N
Would lose
33
Round 33Won45 countries · 4 lives left
BruneivsBulgaria
Wealth per person: 85,103 vs 38,829 int’l $ · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 3 other winning choices
All eight categories for Brunei against Bulgaria
Category
Brunei
Bulgaria
Result
Areakm² · Higher wins ↑
5,765
110,879
Would lose
Populationpeople · Higher wins ↑
458,949
6,446,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
38,829
Would win
Densityper km² · Higher wins ↑
79.6
58.1
Would win
Highest peakm · Higher wins ↑
1,850
2,925
Would lose
Coastlinekm · Higher wins ↑
161
354
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
42.5° N
Would win
34
Round 34Won46 countries · 4 lives left
CanadavsSouth Africa
Area: 9,984,670 vs 1,219,090 km² · Higher wins ↑
Conquered South Africa.
Other category comparisons 3 other winning choices
All eight categories for Canada against South Africa
Category
Canada
South Africa
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
1,219,090
Would win
Populationpeople · Higher wins ↑
40,049,088
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
64,962
15,212
Would win
Densityper km² · Higher wins ↑
4.0
51.9
Would lose
Highest peakm · Higher wins ↑
5,959
3,450
Would win
Coastlinekm · Higher wins ↑
202,080
2,798
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
30.2° S
Would lose
35
Round 35Lost45 countries · 3 lives left
MalawivsCambodia
Proximity to equator: 13.4° S vs 12.6° N from the equator · Closer wins ↓
Returned to the world: Malawi.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Cambodia
Category
Malawi
Cambodia
Result
Areakm² · Higher wins ↑
118,484
181,035
Would lose
Populationpeople · Higher wins ↑
21,104,482
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
7,437
Would lose
Densityper km² · Higher wins ↑
178.1
96.2
Would win
Highest peakm · Higher wins ↑
3,002
1,810
Would win
Coastlinekm · Higher wins ↑
0
443
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
12.6° N
Would lose
36
Round 36Won46 countries · 3 lives left
SloveniavsEgypt
Wealth per person: 56,151 vs 18,540 int’l $ · Higher wins ↑
Conquered Egypt.
Other category comparisons 1 other winning choice
All eight categories for Slovenia against Egypt
Category
Slovenia
Egypt
Result
Areakm² · Higher wins ↑
20,273
1,001,450
Would lose
Populationpeople · Higher wins ↑
2,120,461
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
18,540
Would win
Densityper km² · Higher wins ↑
104.6
114.4
Would lose
Highest peakm · Higher wins ↑
2,864
2,629
Would win
Coastlinekm · Higher wins ↑
46.6
2,450
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
26.3° N
Would lose
37
Round 37Won47 countries · 3 lives left
ArmeniavsDenmark
Highest peak: 4,090 vs 171 m · Higher wins ↑
Conquered Denmark.
Other category comparisons 2 other winning choices
All eight categories for Armenia against Denmark
Category
Armenia
Denmark
Result
Areakm² · Higher wins ↑
29,743
43,094
Would lose
Populationpeople · Higher wins ↑
2,964,300
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑
21,552
77,425
Would lose
Densityper km² · Higher wins ↑
99.7
138.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,090
171
Would win
Coastlinekm · Higher wins ↑
0
7,314
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
55.9° N
Would win
38
Round 38Won48 countries · 3 lives left
TürkiyevsSouth Sudan
Population: 85,325,965 vs 11,483,374 people · Higher wins ↑
Conquered South Sudan.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against South Sudan
Category
Türkiye
South Sudan
Result
Areakm² · Higher wins ↑
783,562
644,329
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
43,196
Unavailable
Unavailable
Densityper km² · Higher wins ↑
108.9
17.8
Would win
Highest peakm · Higher wins ↑
5,137
3,187
Would win
Coastlinekm · Higher wins ↑
7,200
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
7.1° N
Would lose
39
Round 39Won49 countries · 3 lives left
Côte d’IvoirevsCameroon
Wealth per person: 7,243 vs 5,415 int’l $ · Higher wins ↑
Conquered Cameroon.
Other category comparisons 3 other winning choices
All eight categories for Côte d’Ivoire against Cameroon
Category
Côte d’Ivoire
Cameroon
Result
Areakm² · Higher wins ↑
322,463
475,440
Would lose
Populationpeople · Higher wins ↑
31,165,654
28,372,687
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
7,243
5,415
Would win
Densityper km² · Higher wins ↑
96.6
59.7
Would win
Highest peakm · Higher wins ↑
1,752
4,045
Would lose
Coastlinekm · Higher wins ↑
515
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
4.5° N
Would lose
40
Round 40Won50 countries · 3 lives left
LiberiavsMyanmar
Proximity to equator: 7.0° N vs 21.6° N from the equator · Closer wins ↓
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Liberia against Myanmar
Category
Liberia
Myanmar
Result
Areakm² · Higher wins ↑
111,369
676,578
Would lose
Populationpeople · Higher wins ↑
5,493,031
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
5,958
Would lose
Densityper km² · Higher wins ↑
49.3
80.0
Would lose
Highest peakm · Higher wins ↑
1,447
5,870
Would lose
Coastlinekm · Higher wins ↑
579
1,930
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Francevs
Burundi
Sudan
Haiti
Mexico
Costa Rica
Belarus
Philippines
Ireland
Argentina
Sri Lanka
Germany
Niger
United States
Tunisia
Jamaica
Gabon
Morocco
Timor-Leste
Ethiopia
Libya
Paraguay
New Zealand
Cuba
Brunei
Bulgaria
Canada
South Africa
Malawi
Cambodia
Slovenia
Egypt
Armenia
Denmark
Türkiye
South Sudan
Côte d’Ivoire
Cameroon
Liberia
Myanmar