Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
ColombiavsNorth Korea
Area: 1,138,910 vs 120,538 km² · Higher wins ↑
Conquered North Korea.
Other category comparisons 4 other winning choices
All eight categories for Colombia against North Korea
Category
Colombia
North Korea
Result
Areakm² · Higher wins ↑ · Chosen
1,138,910
120,538
Would win
Populationpeople · Higher wins ↑
52,321,152
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
21,282
Unavailable
Unavailable
Densityper km² · Higher wins ↑
45.9
219.2
Would lose
Highest peakm · Higher wins ↑
5,730
2,744
Would win
Coastlinekm · Higher wins ↑
3,208
2,495
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
39.9° N
Would win
2
Round 2Won14 countries · 4 lives left
HondurasvsSyria
Proximity to equator: 14.7° N vs 35.0° N from the equator · Closer wins ↓
Conquered Syria.
Other category comparisons 2 other winning choices
All eight categories for Honduras against Syria
Category
Honduras
Syria
Result
Areakm² · Higher wins ↑
112,090
187,437
Would lose
Populationpeople · Higher wins ↑
10,644,851
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
7,184
Unavailable
Unavailable
Densityper km² · Higher wins ↑
95.0
125.9
Would lose
Highest peakm · Higher wins ↑
2,870
2,814
Would win
Coastlinekm · Higher wins ↑
823
193
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° N
35.0° N
Would win
3
Round 3Lost13 countries · 3 lives left
MoldovavsGuyana
Highest peak: 430 vs 2,775 m · Higher wins ↑
Returned to the world: Moldova.
Other category comparisons 3 other winning choices
All eight categories for Moldova against Guyana
Category
Moldova
Guyana
Result
Areakm² · Higher wins ↑
33,851
214,969
Would lose
Populationpeople · Higher wins ↑
2,457,783
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
17,751
54,774
Would lose
Densityper km² · Higher wins ↑
72.6
3.8
Would win
Highest peakm · Higher wins ↑ · Chosen
430
2,775
Would lose
Coastlinekm · Higher wins ↑
0
459
Would lose
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
2.7° N
Would lose
4
Round 4Won14 countries · 3 lives left
MaltavsCanada
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Canada.
Other category comparisons 3 other winning choices
All eight categories for Malta against Canada
Category
Malta
Canada
Result
Areakm² · Higher wins ↑
316
9,984,670
Would lose
Populationpeople · Higher wins ↑
552,747
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
64,962
Would win
Densityper km² · Higher wins ↑
1,749.2
4.0
Would win
Highest peakm · Higher wins ↑
253
5,959
Would lose
Coastlinekm · Higher wins ↑
196.8
202,080
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
58.8° N
Would win
5
Round 5Won15 countries · 3 lives left
MauritaniavsSouth Sudan
Area: 1,030,700 vs 644,329 km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against South Sudan
Category
Mauritania
South Sudan
Result
Areakm² · Higher wins ↑ · Chosen
1,030,700
644,329
Would win
Populationpeople · Higher wins ↑
5,022,441
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
6,972
Unavailable
Unavailable
Densityper km² · Higher wins ↑
4.9
17.8
Would lose
Highest peakm · Higher wins ↑
915
3,187
Would lose
Coastlinekm · Higher wins ↑
754
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
7.1° N
Would lose
6
Round 6Won16 countries · 3 lives left
EritreavsNamibia
Density: 29.5 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 4 other winning choices
All eight categories for Eritrea against Namibia
Category
Eritrea
Namibia
Result
Areakm² · Higher wins ↑
117,600
824,292
Would lose
Populationpeople · Higher wins ↑
3,470,390
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
11,248
Unavailable
Densityper km² · Higher wins ↑ · Chosen
29.5
3.6
Would win
Highest peakm · Higher wins ↑
3,018
2,573
Would win
Coastlinekm · Higher wins ↑
2,234
1,572
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
20.6° S
Would win
7
Round 7Won17 countries · 3 lives left
AngolavsVanuatu
Area: 1,246,700 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 5 other winning choices
All eight categories for Angola against Vanuatu
Category
Angola
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
12,189
Would win
Populationpeople · Higher wins ↑
36,749,906
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
4,202
Would win
Densityper km² · Higher wins ↑
29.5
26.3
Would win
Highest peakm · Higher wins ↑
2,620
1,877
Would win
Coastlinekm · Higher wins ↑
1,600
2,528
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
15.4° S
Would win
8
Round 8Won18 countries · 3 lives left
NicaraguavsHaiti
Area: 130,370 vs 27,750 km² · Higher wins ↑
Conquered Haiti.
Other category comparisons 3 other winning choices
All eight categories for Nicaragua against Haiti
Category
Nicaragua
Haiti
Result
Areakm² · Higher wins ↑ · Chosen
130,370
27,750
Would win
Populationpeople · Higher wins ↑
6,823,613
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
3,265
Would win
Densityper km² · Higher wins ↑
52.3
419.4
Would lose
Highest peakm · Higher wins ↑
2,085
2,674
Would lose
Coastlinekm · Higher wins ↑
910
1,771
Would lose
Flag colourscolours · Higher wins ↑
10
7
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
19.2° N
Would win
9
Round 9Won19 countries · 3 lives left
GermanyvsVietnam
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Vietnam.
Other category comparisons 2 other winning choices
All eight categories for Germany against Vietnam
Category
Germany
Vietnam
Result
Areakm² · Higher wins ↑
357,022
331,210
Would win
Populationpeople · Higher wins ↑
83,287,273
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
72,262
15,034
Would win
Densityper km² · Higher wins ↑
233.3
303.0
Would lose
Highest peakm · Higher wins ↑
2,963
3,144
Would lose
Coastlinekm · Higher wins ↑
2,389
3,444
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
21.7° N
Would lose
10
Round 10Won20 countries · 3 lives left
SloveniavsKazakhstan
Density: 104.6 vs 7.5 per km² · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 4 other winning choices
All eight categories for Slovenia against Kazakhstan
Category
Slovenia
Kazakhstan
Result
Areakm² · Higher wins ↑
20,273
2,724,900
Would lose
Populationpeople · Higher wins ↑
2,120,461
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
56,151
38,547
Would win
Densityper km² · Higher wins ↑ · Chosen
104.6
7.5
Would win
Highest peakm · Higher wins ↑
2,864
7,010
Would lose
Coastlinekm · Higher wins ↑
46.6
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
48.5° N
Would win
11
Round 11Won21 countries · 3 lives left
LebanonvsPalestine
Area: 10,400 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 4 other winning choices
All eight categories for Lebanon against Palestine
Category
Lebanon
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
10,400
6,220
Would win
Populationpeople · Higher wins ↑
5,773,493
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
12,585
6,179
Would win
Densityper km² · Higher wins ↑
555.1
830.5
Would lose
Highest peakm · Higher wins ↑
3,088
1,020
Would win
Coastlinekm · Higher wins ↑
225
40
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
32.1° N
Would lose
12
Round 12Won22 countries · 3 lives left
CameroonvsTajikistan
Coastline: 402 vs 0 km · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Tajikistan
Category
Cameroon
Tajikistan
Result
Areakm² · Higher wins ↑
475,440
144,100
Would win
Populationpeople · Higher wins ↑
28,372,687
10,389,799
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
4,968
Would win
Densityper km² · Higher wins ↑
59.7
72.1
Would lose
Highest peakm · Higher wins ↑
4,045
7,495
Would lose
Coastlinekm · Higher wins ↑ · Chosen
402
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
38.3° N
Would win
13
Round 13Lost21 countries · 2 lives left
ColombiavsMali
Area: 1,138,910 vs 1,240,192 km² · Higher wins ↑
Returned to the world: Colombia.
Other category comparisons 6 other winning choices
All eight categories for Colombia against Mali
Category
Colombia
Mali
Result
Areakm² · Higher wins ↑ · Chosen
1,138,910
1,240,192
Would lose
Populationpeople · Higher wins ↑
52,321,152
23,769,127
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
3,178
Would win
Densityper km² · Higher wins ↑
45.9
19.2
Would win
Highest peakm · Higher wins ↑
5,730
1,155
Would win
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
18.6° N
Would win
14
Round 14Won22 countries · 2 lives left
North KoreavsPoland
Highest peak: 2,744 vs 2,499 m · Higher wins ↑
Conquered Poland.
Other category comparisons 4 other winning choices
All eight categories for North Korea against Poland
Category
North Korea
Poland
Result
Areakm² · Higher wins ↑
120,538
312,685
Would lose
Populationpeople · Higher wins ↑
26,418,204
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
48,473
Unavailable
Densityper km² · Higher wins ↑
219.2
117.3
Would win
Highest peakm · Higher wins ↑ · Chosen
2,744
2,499
Would win
Coastlinekm · Higher wins ↑
2,495
440
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
51.9° N
Would win
15
Round 15Lost21 countries · 1 life left
HondurasvsLithuania
Flag colours: 2 vs 3 colours · Higher wins ↑
Returned to the world: Honduras.
Other category comparisons 6 other winning choices
All eight categories for Honduras against Lithuania
Category
Honduras
Lithuania
Result
Areakm² · Higher wins ↑
112,090
65,300
Would win
Populationpeople · Higher wins ↑
10,644,851
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
7,184
52,720
Would lose
Densityper km² · Higher wins ↑
95.0
44.0
Would win
Highest peakm · Higher wins ↑
2,870
294
Would win
Coastlinekm · Higher wins ↑
823
90
Would win
Flag colourscolours · Higher wins ↑ · Chosen
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
55.1° N
Would win
16
Round 16Tied21 countries · 1 life left
SyriavsGambia
Flag colours: 4 vs 4 colours · Higher wins ↑
Gambia became contested.
Other category comparisons 4 other winning choices
All eight categories for Syria against Gambia
Category
Syria
Gambia
Result
Areakm² · Higher wins ↑
187,437
11,300
Would win
Populationpeople · Higher wins ↑
23,594,623
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
3,292
Unavailable
Densityper km² · Higher wins ↑
125.9
238.7
Would lose
Highest peakm · Higher wins ↑
2,814
63
Would win
Coastlinekm · Higher wins ↑
193
80
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
13.6° N
Would lose
17
Round 17Won23 countries · 1 life left
MaltavsIndia
Wealth per person: 67,101 vs 9,853 int’l $ · Higher wins ↑
Conquered India, Gambia.
Other category comparisons 1 other winning choice
All eight categories for Malta against India
Category
Malta
India
Result
Areakm² · Higher wins ↑
316
3,287,263
Would lose
Populationpeople · Higher wins ↑
552,747
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
67,101
9,853
Would win
Densityper km² · Higher wins ↑
1,749.2
437.5
Would win
Highest peakm · Higher wins ↑
253
8,586
Would lose
Coastlinekm · Higher wins ↑
196.8
7,000
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
22.4° N
Would lose
18
Round 18Won24 countries · 1 life left
CanadavsMongolia
Area: 9,984,670 vs 1,564,116 km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 5 other winning choices
All eight categories for Canada against Mongolia
Category
Canada
Mongolia
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
1,564,116
Would win
Populationpeople · Higher wins ↑
40,049,088
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
18,020
Would win
Densityper km² · Higher wins ↑
4.0
2.2
Would win
Highest peakm · Higher wins ↑
5,959
4,374
Would win
Coastlinekm · Higher wins ↑
202,080
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
46.0° N
Would lose
19
Round 19Won25 countries · 1 life left
MauritaniavsLaos
Area: 1,030,700 vs 236,800 km² · Higher wins ↑
Conquered Laos.
Other category comparisons 2 other winning choices
All eight categories for Mauritania against Laos
Category
Mauritania
Laos
Result
Areakm² · Higher wins ↑ · Chosen
1,030,700
236,800
Would win
Populationpeople · Higher wins ↑
5,022,441
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
9,299
Would lose
Densityper km² · Higher wins ↑
4.9
32.4
Would lose
Highest peakm · Higher wins ↑
915
2,817
Would lose
Coastlinekm · Higher wins ↑
754
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
19.6° N
Would win
20
Round 20Lost24 countries · 0 lives left
South SudanvsSouth Africa
Density: 17.8 vs 51.9 per km² · Higher wins ↑
Returned to the world: South Sudan.
Other category comparisons 1 other winning choice
All eight categories for South Sudan against South Africa
Category
South Sudan
South Africa
Result
Areakm² · Higher wins ↑
644,329
1,219,090
Would lose
Populationpeople · Higher wins ↑
11,483,374
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
15,212
Unavailable
Densityper km² · Higher wins ↑ · Chosen
17.8
51.9
Would lose
Highest peakm · Higher wins ↑
3,187
3,450
Would lose
Coastlinekm · Higher wins ↑
0
2,798
Would lose
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Colombiavs
North Korea
Honduras
Syria
Moldova
Guyana
Malta
Canada
Mauritania
South Sudan
Eritrea
Namibia
Angola
Vanuatu
Nicaragua
Haiti
Germany
Vietnam
Slovenia
Kazakhstan
Lebanon
Palestine
Cameroon
Tajikistan
Mali
Poland
Lithuania
Gambia
India
Mongolia
Laos
South Africa