Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
121
Round 121Won131 countries · 3 lives left
ThailandvsNiger
Wealth per person: 23,598 vs 1,903 int’l $ · Higher wins ↑
Conquered Niger.
Other category comparisons 5 other winning choices
All eight categories for Thailand against Niger
Category
Thailand
Niger
Result
Areakm² · Higher wins ↑
513,120
1,267,000
Would lose
Populationpeople · Higher wins ↑
71,702,435
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,598
1,903
Would win
Densityper km² · Higher wins ↑
139.7
20.6
Would win
Highest peakm · Higher wins ↑
2,565
2,022
Would win
Coastlinekm · Higher wins ↑
3,219
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
17.6° N
Would win
122
Round 122Won132 countries · 3 lives left
Equatorial GuineavsSri Lanka
Flag colours: 8 vs 5 colours · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 3 other winning choices
All eight categories for Equatorial Guinea against Sri Lanka
Category
Equatorial Guinea
Sri Lanka
Result
Areakm² · Higher wins ↑
28,051
65,610
Would lose
Populationpeople · Higher wins ↑
1,847,549
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
14,512
Would win
Densityper km² · Higher wins ↑
65.9
335.9
Would lose
Highest peakm · Higher wins ↑
3,008
2,524
Would win
Coastlinekm · Higher wins ↑
296
1,340
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
8
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.6° N
7.1° N
Would win
123
Round 123Won133 countries · 3 lives left
AfghanistanvsBosnia and Herzegovina
Population: 41,454,761 vs 3,185,073 people · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 5 other winning choices
All eight categories for Afghanistan against Bosnia and Herzegovina
Category
Afghanistan
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
652,230
51,197
Would win
Populationpeople · Higher wins ↑ · Chosen
41,454,761
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
23,376
Would lose
Densityper km² · Higher wins ↑
63.6
62.2
Would win
Highest peakm · Higher wins ↑
7,492
2,386
Would win
Coastlinekm · Higher wins ↑
0
20
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
44.1° N
Would win
124
Round 124Won134 countries · 3 lives left
AlgeriavsJapan
Proximity to equator: 27.4° N vs 36.7° N from the equator · Closer wins ↓
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for Algeria against Japan
Category
Algeria
Japan
Result
Areakm² · Higher wins ↑
2,381,740
377,915
Would win
Populationpeople · Higher wins ↑
46,164,219
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
16,838
52,726
Would lose
Densityper km² · Higher wins ↑
19.4
329.5
Would lose
Highest peakm · Higher wins ↑
2,908
3,776
Would lose
Coastlinekm · Higher wins ↑
998
29,751
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
27.4° N
36.7° N
Would win
125
Round 125Lost133 countries · 2 lives left
PalestinevsGambia
Proximity to equator: 32.1° N vs 13.6° N from the equator · Closer wins ↓
Returned to the world: Palestine.
Other category comparisons 4 other winning choices
All eight categories for Palestine against Gambia
Category
Palestine
Gambia
Result
Areakm² · Higher wins ↑
6,220
11,300
Would lose
Populationpeople · Higher wins ↑
5,165,775
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
3,292
Would win
Densityper km² · Higher wins ↑
830.5
238.7
Would win
Highest peakm · Higher wins ↑
1,020
63
Would win
Coastlinekm · Higher wins ↑
40
80
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
32.1° N
13.6° N
Would lose
126
Round 126Won134 countries · 2 lives left
BahrainvsItaly
Density: 2,075.1 vs 195.7 per km² · Higher wins ↑
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against Italy
Category
Bahrain
Italy
Result
Areakm² · Higher wins ↑
760
301,340
Would lose
Populationpeople · Higher wins ↑
1,577,059
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
64,224
60,350
Would win
Densityper km² · Higher wins ↑ · Chosen
2,075.1
195.7
Would win
Highest peakm · Higher wins ↑
135
4,748
Would lose
Coastlinekm · Higher wins ↑
161
7,600
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
45.1° N
Would win
127
Round 127Won135 countries · 2 lives left
TurkmenistanvsTogo
Flag colours: 5 vs 4 colours · Higher wins ↑
Conquered Togo.
Other category comparisons 3 other winning choices
All eight categories for Turkmenistan against Togo
Category
Turkmenistan
Togo
Result
Areakm² · Higher wins ↑
488,100
56,785
Would win
Populationpeople · Higher wins ↑
7,364,438
8,223,850
Would lose
Wealth per personint’l $ · Higher wins ↑
19,645
3,572
Would win
Densityper km² · Higher wins ↑
15.1
144.8
Would lose
Highest peakm · Higher wins ↑
3,139
986
Would win
Coastlinekm · Higher wins ↑
0
56
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
8.9° N
Would lose
128
Round 128Won136 countries · 2 lives left
SyriavsCameroon
Density: 125.9 vs 59.7 per km² · Higher wins ↑
Conquered Cameroon.
Other category comparisons 1 other winning choice
All eight categories for Syria against Cameroon
Category
Syria
Cameroon
Result
Areakm² · Higher wins ↑
187,437
475,440
Would lose
Populationpeople · Higher wins ↑
23,594,623
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
5,415
Unavailable
Densityper km² · Higher wins ↑ · Chosen
125.9
59.7
Would win
Highest peakm · Higher wins ↑
2,814
4,045
Would lose
Coastlinekm · Higher wins ↑
193
402
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
4.5° N
Would lose
129
Round 129Won137 countries · 2 lives left
ZambiavsMexico
Proximity to equator: 14.7° S vs 23.5° N from the equator · Closer wins ↓
Conquered Mexico.
Other category comparisons 0 other winning choices
All eight categories for Zambia against Mexico
Category
Zambia
Mexico
Result
Areakm² · Higher wins ↑
752,618
1,964,375
Would lose
Populationpeople · Higher wins ↑
20,723,965
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
4,080
25,188
Would lose
Densityper km² · Higher wins ↑
27.5
66.0
Would lose
Highest peakm · Higher wins ↑
2,330
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
4
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° S
23.5° N
Would win
130
Round 130Won138 countries · 2 lives left
GuatemalavsMalta
Proximity to equator: 15.0° N vs 35.9° N from the equator · Closer wins ↓
Conquered Malta.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Malta
Category
Guatemala
Malta
Result
Areakm² · Higher wins ↑
108,889
316
Would win
Populationpeople · Higher wins ↑
18,124,838
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
67,101
Would lose
Densityper km² · Higher wins ↑
166.5
1,749.2
Would lose
Highest peakm · Higher wins ↑
4,220
253
Would win
Coastlinekm · Higher wins ↑
400
196.8
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.0° N
35.9° N
Would win
131
Round 131Won139 countries · 2 lives left
VietnamvsNorth Korea
Population: 100,352,192 vs 26,418,204 people · Higher wins ↑
Conquered North Korea.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against North Korea
Category
Vietnam
North Korea
Result
Areakm² · Higher wins ↑
331,210
120,538
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
15,034
Unavailable
Unavailable
Densityper km² · Higher wins ↑
303.0
219.2
Would win
Highest peakm · Higher wins ↑
3,144
2,744
Would win
Coastlinekm · Higher wins ↑
3,444
2,495
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
39.9° N
Would win
132
Round 132Lost138 countries · 1 life left
KuwaitvsAustralia
Proximity to equator: 29.4° N vs 23.1° S from the equator · Closer wins ↓
Returned to the world: Kuwait.
Other category comparisons 2 other winning choices
All eight categories for Kuwait against Australia
Category
Kuwait
Australia
Result
Areakm² · Higher wins ↑
17,818
7,741,220
Would lose
Populationpeople · Higher wins ↑
4,853,420
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
53,083
72,273
Would lose
Densityper km² · Higher wins ↑
272.4
3.4
Would win
Highest peakm · Higher wins ↑
300
2,228
Would lose
Coastlinekm · Higher wins ↑
499
25,760
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.4° N
23.1° S
Would lose
133
Round 133Won139 countries · 1 life left
SingaporevsColombia
Wealth per person: 144,728 vs 21,282 int’l $ · Higher wins ↑
Conquered Colombia.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Colombia
Category
Singapore
Colombia
Result
Areakm² · Higher wins ↑
719
1,138,910
Would lose
Populationpeople · Higher wins ↑
5,917,648
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
21,282
Would win
Densityper km² · Higher wins ↑
8,230.4
45.9
Would win
Highest peakm · Higher wins ↑
166
5,730
Would lose
Coastlinekm · Higher wins ↑
193
3,208
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
3.4° N
Would win
134
Round 134Won140 countries · 1 life left
MoldovavsSolomon Islands
Area: 33,851 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 4 other winning choices
All eight categories for Moldova against Solomon Islands
Category
Moldova
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
33,851
28,896
Would win
Populationpeople · Higher wins ↑
2,457,783
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
17,751
2,599
Would win
Densityper km² · Higher wins ↑
72.6
27.7
Would win
Highest peakm · Higher wins ↑
430
2,335
Would lose
Coastlinekm · Higher wins ↑
0
5,313
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
9.6° S
Would lose
135
Round 135Won141 countries · 1 life left
LiberiavsLithuania
Proximity to equator: 7.0° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Liberia against Lithuania
Category
Liberia
Lithuania
Result
Areakm² · Higher wins ↑
111,369
65,300
Would win
Populationpeople · Higher wins ↑
5,493,031
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
1,796
52,720
Would lose
Densityper km² · Higher wins ↑
49.3
44.0
Would win
Highest peakm · Higher wins ↑
1,447
294
Would win
Coastlinekm · Higher wins ↑
579
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
55.1° N
Would win
136
Round 136Won142 countries · 1 life left
Dominican RepublicvsCyprus
Area: 48,670 vs 9,251 km² · Higher wins ↑
Conquered Cyprus.
Other category comparisons 6 other winning choices
All eight categories for Dominican Republic against Cyprus
Category
Dominican Republic
Cyprus
Result
Areakm² · Higher wins ↑ · Chosen
48,670
9,251
Would win
Populationpeople · Higher wins ↑
11,331,265
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
25,861
59,875
Would lose
Densityper km² · Higher wins ↑
232.8
145.4
Would win
Highest peakm · Higher wins ↑
3,098
1,951
Would win
Coastlinekm · Higher wins ↑
1,288
648
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
34.9° N
Would win
137
Round 137Won143 countries · 1 life left
LesothovsNetherlands
Proximity to equator: 29.4° S vs 52.2° N from the equator · Closer wins ↓
Conquered Netherlands.
Other category comparisons 2 other winning choices
All eight categories for Lesotho against Netherlands
Category
Lesotho
Netherlands
Result
Areakm² · Higher wins ↑
30,355
41,543
Would lose
Populationpeople · Higher wins ↑
2,311,472
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
80,392
Would lose
Densityper km² · Higher wins ↑
76.1
430.3
Would lose
Highest peakm · Higher wins ↑
3,482
322
Would win
Coastlinekm · Higher wins ↑
0
451
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.4° S
52.2° N
Would win
138
Round 138Won144 countries · 1 life left
Côte d’IvoirevsGuyana
Population: 31,165,654 vs 826,353 people · Higher wins ↑
Conquered Guyana.
Other category comparisons 3 other winning choices
All eight categories for Côte d’Ivoire against Guyana
Category
Côte d’Ivoire
Guyana
Result
Areakm² · Higher wins ↑
322,463
214,969
Would win
Populationpeople · Higher wins ↑ · Chosen
31,165,654
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
54,774
Would lose
Densityper km² · Higher wins ↑
96.6
3.8
Would win
Highest peakm · Higher wins ↑
1,752
2,775
Would lose
Coastlinekm · Higher wins ↑
515
459
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
2.7° N
Would lose
139
Round 139Won145 countries · 1 life left
LebanonvsBhutan
Population: 5,773,493 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Bhutan
Category
Lebanon
Bhutan
Result
Areakm² · Higher wins ↑
10,400
38,394
Would lose
Populationpeople · Higher wins ↑ · Chosen
5,773,493
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
12,585
16,229
Would lose
Densityper km² · Higher wins ↑
555.1
20.5
Would win
Highest peakm · Higher wins ↑
3,088
7,570
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
27.5° N
Would lose
140
Round 140Won146 countries · 1 life left
IcelandvsRepublic of the Congo
Wealth per person: 82,257 vs 6,856 int’l $ · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 2 other winning choices
All eight categories for Iceland against Republic of the Congo
Category
Iceland
Republic of the Congo
Result
Areakm² · Higher wins ↑
103,000
342,000
Would lose
Populationpeople · Higher wins ↑
385,663
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
6,856
Would win
Densityper km² · Higher wins ↑
3.7
18.1
Would lose
Highest peakm · Higher wins ↑
2,110
1,020
Would win
Coastlinekm · Higher wins ↑
4,970
169
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓