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Untimed expedition · Data edition 01051846d672
5Wins
4Losses
0Ties
Explore the final empire · 13 countries
No countries match your search.
The path through the world
One choice at a time.
9 rounds
Where it began · 12 countries
India · Timor-Leste · Togo · Brazil · Vietnam · Singapore · Switzerland · South Sudan · Gabon · Guinea · Palestine · Israel
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
IndiavsNiger
Area: 3,287,263 vs 1,267,000 km² · Higher wins ↑
Conquered Niger.
Other category comparisons 6 other winning choices
All eight categories for India against Niger
Category
India
Niger
Result
Areakm² · Higher wins ↑ · Chosen
3,287,263
1,267,000
Would win
Populationpeople · Higher wins ↑
1,438,069,596
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
1,903
Would win
Densityper km² · Higher wins ↑
437.5
20.6
Would win
Highest peakm · Higher wins ↑
8,586
2,022
Would win
Coastlinekm · Higher wins ↑
7,000
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
17.6° N
Would lose
2
Round 2Lost12 countries · 3 lives left
Timor-LestevsEcuador
Coastline: 706 vs 2,237 km · Higher wins ↑
Returned to the world: Timor-Leste.
Other category comparisons 1 other winning choice
All eight categories for Timor-Leste against Ecuador
Category
Timor-Leste
Ecuador
Result
Areakm² · Higher wins ↑
14,874
283,561
Would lose
Populationpeople · Higher wins ↑
1,384,286
17,980,083
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
15,907
Would lose
Densityper km² · Higher wins ↑
93.1
63.4
Would win
Highest peakm · Higher wins ↑
2,963
6,267
Would lose
Coastlinekm · Higher wins ↑ · Chosen
706
2,237
Would lose
Flag colourscolours · Higher wins ↑
4
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
1.2° S
Would lose
3
Round 3Lost11 countries · 2 lives left
TogovsNamibia
Highest peak: 986 vs 2,573 m · Higher wins ↑
Returned to the world: Togo.
Other category comparisons 3 other winning choices
All eight categories for Togo against Namibia
Category
Togo
Namibia
Result
Areakm² · Higher wins ↑
56,785
824,292
Would lose
Populationpeople · Higher wins ↑
8,223,850
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
3,572
11,248
Would lose
Densityper km² · Higher wins ↑
144.8
3.6
Would win
Highest peakm · Higher wins ↑ · Chosen
986
2,573
Would lose
Coastlinekm · Higher wins ↑
56
1,572
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
20.6° S
Would win
4
Round 4Won12 countries · 2 lives left
BrazilvsBhutan
Area: 8,515,770 vs 38,394 km² · Higher wins ↑
Conquered Bhutan.
Other category comparisons 5 other winning choices
All eight categories for Brazil against Bhutan
Category
Brazil
Bhutan
Result
Areakm² · Higher wins ↑ · Chosen
8,515,770
38,394
Would win
Populationpeople · Higher wins ↑
211,140,729
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
16,229
Would win
Densityper km² · Higher wins ↑
24.8
20.5
Would win
Highest peakm · Higher wins ↑
2,994
7,570
Would lose
Coastlinekm · Higher wins ↑
7,491
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
27.5° N
Would win
5
Round 5Won13 countries · 2 lives left
VietnamvsJamaica
Population: 100,352,192 vs 2,839,786 people · Higher wins ↑
Conquered Jamaica.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Jamaica
Category
Vietnam
Jamaica
Result
Areakm² · Higher wins ↑
331,210
10,991
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
12,661
Would win
Densityper km² · Higher wins ↑
303.0
258.4
Would win
Highest peakm · Higher wins ↑
3,144
2,256
Would win
Coastlinekm · Higher wins ↑
3,444
1,022
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
18.1° N
Would lose
6
Round 6Won14 countries · 2 lives left
SingaporevsSri Lanka
Density: 8,230.4 vs 335.9 per km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Sri Lanka
Category
Singapore
Sri Lanka
Result
Areakm² · Higher wins ↑
719
65,610
Would lose
Populationpeople · Higher wins ↑
5,917,648
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
14,512
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
335.9
Would win
Highest peakm · Higher wins ↑
166
2,524
Would lose
Coastlinekm · Higher wins ↑
193
1,340
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
7.1° N
Would win
7
Round 7Won15 countries · 2 lives left
SwitzerlandvsUruguay
Wealth per person: 93,940 vs 34,546 int’l $ · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Uruguay
Category
Switzerland
Uruguay
Result
Areakm² · Higher wins ↑
41,277
176,215
Would lose
Populationpeople · Higher wins ↑
8,888,822
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
34,546
Would win
Densityper km² · Higher wins ↑
215.3
19.2
Would win
Highest peakm · Higher wins ↑
4,634
514
Would win
Coastlinekm · Higher wins ↑
0
660
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
32.9° S
Would lose
8
Round 8Lost14 countries · 1 life left
South SudanvsEritrea
Density: 17.8 vs 29.5 per km² · Higher wins ↑
Returned to the world: South Sudan.
Other category comparisons 5 other winning choices
All eight categories for South Sudan against Eritrea
Category
South Sudan
Eritrea
Result
Areakm² · Higher wins ↑
644,329
117,600
Would win
Populationpeople · Higher wins ↑
11,483,374
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.. Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
17.8
29.5
Would lose
Highest peakm · Higher wins ↑
3,187
3,018
Would win
Coastlinekm · Higher wins ↑
0
2,234
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
16.0° N
Would win
9
Round 9Lost13 countries · 0 lives left
GabonvsPeru
Area: 267,667 vs 1,285,216 km² · Higher wins ↑
Returned to the world: Gabon.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Peru
Category
Gabon
Peru
Result
Areakm² · Higher wins ↑ · Chosen
267,667
1,285,216
Would lose
Populationpeople · Higher wins ↑
2,484,789
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
17,042
Would win
Densityper km² · Higher wins ↑
9.3
26.3
Would lose
Highest peakm · Higher wins ↑
1,050
6,746
Would lose
Coastlinekm · Higher wins ↑
885
2,414
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓