Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
61
Round 61Won73 countries · 4 lives left
Solomon IslandsvsRepublic of the Congo
Highest peak: 2,335 vs 1,020 m · Higher wins ↑
Conquered Republic of the Congo, Uruguay, Paraguay.
Other category comparisons 3 other winning choices
All eight categories for Solomon Islands against Republic of the Congo
Category
Solomon Islands
Republic of the Congo
Result
Areakm² · Higher wins ↑
28,896
342,000
Would lose
Populationpeople · Higher wins ↑
800,005
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
6,856
Would lose
Densityper km² · Higher wins ↑
27.7
18.1
Would win
Highest peakm · Higher wins ↑ · Chosen
2,335
1,020
Would win
Coastlinekm · Higher wins ↑
5,313
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
0.1° N
Would lose
62
Round 62Won74 countries · 4 lives left
NigervsArgentina
Proximity to equator: 17.6° N vs 31.4° S from the equator · Closer wins ↓
Conquered Argentina.
Other category comparisons 1 other winning choice
All eight categories for Niger against Argentina
Category
Niger
Argentina
Result
Areakm² · Higher wins ↑
1,267,000
2,780,400
Would lose
Populationpeople · Higher wins ↑
26,159,867
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
30,246
Would lose
Densityper km² · Higher wins ↑
20.6
16.4
Would win
Highest peakm · Higher wins ↑
2,022
6,962
Would lose
Coastlinekm · Higher wins ↑
0
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.6° N
31.4° S
Would win
63
Round 63Won75 countries · 4 lives left
TajikistanvsEswatini
Area: 144,100 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Eswatini
Category
Tajikistan
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
144,100
17,364
Would win
Populationpeople · Higher wins ↑
10,389,799
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
4,968
11,309
Would lose
Densityper km² · Higher wins ↑
72.1
70.9
Would win
Highest peakm · Higher wins ↑
7,495
1,862
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
26.6° S
Would lose
64
Round 64Won76 countries · 4 lives left
UgandavsSouth Sudan
Density: 201.9 vs 17.8 per km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 3 other winning choices
All eight categories for Uganda against South Sudan
Category
Uganda
South Sudan
Result
Areakm² · Higher wins ↑
241,038
644,329
Would lose
Populationpeople · Higher wins ↑
48,656,601
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
3,100
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
201.9
17.8
Would win
Highest peakm · Higher wins ↑
5,110
3,187
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
7.1° N
Would win
65
Round 65Won77 countries · 4 lives left
PolandvsBrunei
Area: 312,685 vs 5,765 km² · Higher wins ↑
Conquered Brunei.
Other category comparisons 4 other winning choices
All eight categories for Poland against Brunei
Category
Poland
Brunei
Result
Areakm² · Higher wins ↑ · Chosen
312,685
5,765
Would win
Populationpeople · Higher wins ↑
36,687,353
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
85,103
Would lose
Densityper km² · Higher wins ↑
117.3
79.6
Would win
Highest peakm · Higher wins ↑
2,499
1,850
Would win
Coastlinekm · Higher wins ↑
440
161
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
4.5° N
Would lose
66
Round 66Won78 countries · 4 lives left
IsraelvsColombia
Wealth per person: 55,301 vs 21,282 int’l $ · Higher wins ↑
Conquered Colombia.
Other category comparisons 1 other winning choice
All eight categories for Israel against Colombia
Category
Israel
Colombia
Result
Areakm² · Higher wins ↑
21,937
1,138,910
Would lose
Populationpeople · Higher wins ↑
9,849,000
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,301
21,282
Would win
Densityper km² · Higher wins ↑
449.0
45.9
Would win
Highest peakm · Higher wins ↑
2,224
5,730
Would lose
Coastlinekm · Higher wins ↑
273
3,208
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
3.4° N
Would lose
67
Round 67Won79 countries · 4 lives left
AlbaniavsRomania
Density: 83.9 vs 80.0 per km² · Higher wins ↑
Conquered Romania.
Other category comparisons 3 other winning choices
All eight categories for Albania against Romania
Category
Albania
Romania
Result
Areakm² · Higher wins ↑
28,748
238,391
Would lose
Populationpeople · Higher wins ↑
2,411,658
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
45,982
Would lose
Densityper km² · Higher wins ↑ · Chosen
83.9
80.0
Would win
Highest peakm · Higher wins ↑
2,764
2,544
Would win
Coastlinekm · Higher wins ↑
362
225
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
45.7° N
Would win
68
Round 68Won80 countries · 4 lives left
SlovakiavsNigeria
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Nigeria.
Other category comparisons 2 other winning choices
All eight categories for Slovakia against Nigeria
Category
Slovakia
Nigeria
Result
Areakm² · Higher wins ↑
49,035
923,768
Would lose
Populationpeople · Higher wins ↑
5,426,740
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
45,865
8,712
Would win
Densityper km² · Higher wins ↑
110.7
246.7
Would lose
Highest peakm · Higher wins ↑
2,655
2,419
Would win
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
9.4° N
Would lose
69
Round 69Won81 countries · 4 lives left
MadagascarvsNamibia
Proximity to equator: 18.4° S vs 20.6° S from the equator · Closer wins ↓
Conquered Namibia.
Other category comparisons 4 other winning choices
All eight categories for Madagascar against Namibia
Category
Madagascar
Namibia
Result
Areakm² · Higher wins ↑
587,041
824,292
Would lose
Populationpeople · Higher wins ↑
31,195,932
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
11,248
Would lose
Densityper km² · Higher wins ↑
53.1
3.6
Would win
Highest peakm · Higher wins ↑
2,876
2,573
Would win
Coastlinekm · Higher wins ↑
4,828
1,572
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
18.4° S
20.6° S
Would win
70
Round 70Lost80 countries · 3 lives left
HungaryvsCyprus
Wealth per person: 46,376 vs 59,875 int’l $ · Higher wins ↑
Returned to the world: Hungary.
Other category comparisons 2 other winning choices
All eight categories for Hungary against Cyprus
Category
Hungary
Cyprus
Result
Areakm² · Higher wins ↑
93,028
9,251
Would win
Populationpeople · Higher wins ↑
9,592,186
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
59,875
Would lose
Densityper km² · Higher wins ↑
103.1
145.4
Would lose
Highest peakm · Higher wins ↑
1,014
1,951
Would lose
Coastlinekm · Higher wins ↑
0
648
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
34.9° N
Would lose
71
Round 71Won81 countries · 3 lives left
EthiopiavsMalaysia
Population: 128,691,692 vs 35,126,298 people · Higher wins ↑
Conquered Malaysia.
Other category comparisons 3 other winning choices
All eight categories for Ethiopia against Malaysia
Category
Ethiopia
Malaysia
Result
Areakm² · Higher wins ↑
1,104,300
329,847
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
35,126,298
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
36,497
Would lose
Densityper km² · Higher wins ↑
116.5
106.5
Would win
Highest peakm · Higher wins ↑
4,550
4,095
Would win
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
4.4° N
Would lose
72
Round 72Won82 countries · 3 lives left
MoldovavsLibya
Wealth per person: 17,751 vs 13,858 int’l $ · Higher wins ↑
Conquered Libya.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Libya
Category
Moldova
Libya
Result
Areakm² · Higher wins ↑
33,851
1,759,540
Would lose
Populationpeople · Higher wins ↑
2,457,783
7,305,659
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
13,858
Would win
Densityper km² · Higher wins ↑
72.6
4.2
Would win
Highest peakm · Higher wins ↑
430
2,267
Would lose
Coastlinekm · Higher wins ↑
0
1,770
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
26.1° N
Would lose
73
Round 73Lost81 countries · 2 lives left
BeninvsSri Lanka
Density: 125.3 vs 335.9 per km² · Higher wins ↑
Returned to the world: Benin.
Other category comparisons 1 other winning choice
All eight categories for Benin against Sri Lanka
Category
Benin
Sri Lanka
Result
Areakm² · Higher wins ↑
112,622
65,610
Would win
Populationpeople · Higher wins ↑
14,111,034
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
14,512
Would lose
Densityper km² · Higher wins ↑ · Chosen
125.3
335.9
Would lose
Highest peakm · Higher wins ↑
675
2,524
Would lose
Coastlinekm · Higher wins ↑
121
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
7.1° N
Would lose
74
Round 74Won82 countries · 2 lives left
LatviavsUzbekistan
Coastline: 498 vs 0 km · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Uzbekistan
Category
Latvia
Uzbekistan
Result
Areakm² · Higher wins ↑
64,589
447,400
Would lose
Populationpeople · Higher wins ↑
1,883,710
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
42,784
11,679
Would win
Densityper km² · Higher wins ↑
29.2
79.7
Would lose
Highest peakm · Higher wins ↑
312
4,643
Would lose
Coastlinekm · Higher wins ↑ · Chosen
498
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
41.5° N
Would lose
75
Round 75Won83 countries · 2 lives left
SyriavsIreland
Proximity to equator: 35.0° N vs 53.1° N from the equator · Closer wins ↓
Conquered Ireland.
Other category comparisons 5 other winning choices
All eight categories for Syria against Ireland
Category
Syria
Ireland
Result
Areakm² · Higher wins ↑
187,437
70,273
Would win
Populationpeople · Higher wins ↑
23,594,623
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
133,440
Unavailable
Densityper km² · Higher wins ↑
125.9
75.6
Would win
Highest peakm · Higher wins ↑
2,814
1,041
Would win
Coastlinekm · Higher wins ↑
193
1,448
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
35.0° N
53.1° N
Would win
76
Round 76Won84 countries · 2 lives left
JapanvsGhana
Population: 124,516,650 vs 33,787,914 people · Higher wins ↑
Conquered Ghana.
Other category comparisons 5 other winning choices
All eight categories for Japan against Ghana
Category
Japan
Ghana
Result
Areakm² · Higher wins ↑
377,915
238,533
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
33,787,914
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
7,563
Would win
Densityper km² · Higher wins ↑
329.5
141.6
Would win
Highest peakm · Higher wins ↑
3,776
885
Would win
Coastlinekm · Higher wins ↑
29,751
539
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
7.0° N
Would lose
77
Round 77Won85 countries · 2 lives left
ThailandvsFinland
Proximity to equator: 15.5° N vs 63.3° N from the equator · Closer wins ↓
Conquered Finland.
Other category comparisons 6 other winning choices
All eight categories for Thailand against Finland
Category
Thailand
Finland
Result
Areakm² · Higher wins ↑
513,120
338,145
Would win
Populationpeople · Higher wins ↑
71,702,435
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
63,467
Would lose
Densityper km² · Higher wins ↑
139.7
16.5
Would win
Highest peakm · Higher wins ↑
2,565
1,328
Would win
Coastlinekm · Higher wins ↑
3,219
1,250
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.5° N
63.3° N
Would win
78
Round 78Won86 countries · 2 lives left
NepalvsDR Congo
Highest peak: 8,849 vs 5,110 m · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Nepal against DR Congo
Category
Nepal
DR Congo
Result
Areakm² · Higher wins ↑
147,181
2,344,858
Would lose
Populationpeople · Higher wins ↑
29,694,614
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
1,732
Would win
Densityper km² · Higher wins ↑
201.8
45.1
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
5,110
Would win
Coastlinekm · Higher wins ↑
0
37
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
1.9° S
Would lose
79
Round 79Won87 countries · 2 lives left
IndonesiavsCentral African Republic
Population: 281,190,067 vs 5,152,421 people · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 6 other winning choices
All eight categories for Indonesia against Central African Republic
Category
Indonesia
Central African Republic
Result
Areakm² · Higher wins ↑
1,904,569
622,984
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
1,258
Would win
Densityper km² · Higher wins ↑
147.6
8.3
Would win
Highest peakm · Higher wins ↑
4,884
1,410
Would win
Coastlinekm · Higher wins ↑
54,716
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
7.0° N
Would win
80
Round 80Won88 countries · 2 lives left
North KoreavsSingapore
Area: 120,538 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 4 other winning choices
All eight categories for North Korea against Singapore
Category
North Korea
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
120,538
719
Would win
Populationpeople · Higher wins ↑
26,418,204
5,917,648
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
144,728
Unavailable
Densityper km² · Higher wins ↑
219.2
8,230.4
Would lose
Highest peakm · Higher wins ↑
2,744
166
Would win
Coastlinekm · Higher wins ↑
2,495
193
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Solomon Islandsvs
Republic of the Congo
Niger
Argentina
Tajikistan
Eswatini
Uganda
South Sudan
Poland
Brunei
Israel
Colombia
Albania
Romania
Slovakia
Nigeria
Madagascar
Namibia
Hungary
Cyprus
Ethiopia
Malaysia
Moldova
Libya
Benin
Sri Lanka
Latvia
Uzbekistan
Syria
Ireland
Japan
Ghana
Thailand
Finland
Nepal
DR Congo
Indonesia
Central African Republic
North Korea
Singapore