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Untimed expedition · Data edition 01051846d672
61Wins
3Losses
1Ties
Explore the final empire · 71 countries
No countries match your search.
The path through the world
One choice at a time.
65 rounds
Where it began · 12 countries
Singapore · Burkina Faso · Argentina · Palestine · Burundi · Laos · Malawi · Costa Rica · DR Congo · Switzerland · Russia · Denmark
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
SingaporevsRepublic of the Congo
Density: 8,230.4 vs 18.1 per km² · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Republic of the Congo
Category
Singapore
Republic of the Congo
Result
Areakm² · Higher wins ↑
719
342,000
Would lose
Populationpeople · Higher wins ↑
5,917,648
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
6,856
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
18.1
Would win
Highest peakm · Higher wins ↑
166
1,020
Would lose
Coastlinekm · Higher wins ↑
193
169
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
0.1° N
Would lose
2
Round 2Won14 countries · 4 lives left
Burkina FasovsEquatorial Guinea
Area: 274,200 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 2 other winning choices
All eight categories for Burkina Faso against Equatorial Guinea
Category
Burkina Faso
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
274,200
28,051
Would win
Populationpeople · Higher wins ↑
23,025,776
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
16,997
Would lose
Densityper km² · Higher wins ↑
84.0
65.9
Would win
Highest peakm · Higher wins ↑
749
3,008
Would lose
Coastlinekm · Higher wins ↑
0
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
1.6° N
Would lose
3
Round 3Won15 countries · 4 lives left
ArgentinavsSuriname
Area: 2,780,400 vs 163,820 km² · Higher wins ↑
Conquered Suriname.
Other category comparisons 5 other winning choices
All eight categories for Argentina against Suriname
Category
Argentina
Suriname
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
163,820
Would win
Populationpeople · Higher wins ↑
45,538,401
628,886
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
21,128
Would win
Densityper km² · Higher wins ↑
16.4
3.8
Would win
Highest peakm · Higher wins ↑
6,962
1,230
Would win
Coastlinekm · Higher wins ↑
4,989
386
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
4.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
PalestinevsFrance
Density: 830.5 vs 119.5 per km² · Higher wins ↑
Conquered France.
Other category comparisons 2 other winning choices
All eight categories for Palestine against France
Category
Palestine
France
Result
Areakm² · Higher wins ↑
6,220
551,500
Would lose
Populationpeople · Higher wins ↑
5,165,775
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
60,927
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
119.5
Would win
Highest peakm · Higher wins ↑
1,020
4,810
Would lose
Coastlinekm · Higher wins ↑
40
3,427
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
46.7° N
Would win
5
Round 5Won17 countries · 4 lives left
BurundivsIran
Density: 491.9 vs 55.0 per km² · Higher wins ↑
Conquered Iran.
Other category comparisons 1 other winning choice
All eight categories for Burundi against Iran
Category
Burundi
Iran
Result
Areakm² · Higher wins ↑
27,830
1,648,195
Would lose
Populationpeople · Higher wins ↑
13,689,450
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
18,933
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
55.0
Would win
Highest peakm · Higher wins ↑
2,685
5,625
Would lose
Coastlinekm · Higher wins ↑
0
2,440
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
32.1° N
Would win
6
Round 6Tied17 countries · 4 lives left
LaosvsThailand
Flag colours: 3 vs 3 colours · Higher wins ↑
Thailand became contested.
Other category comparisons 1 other winning choice
All eight categories for Laos against Thailand
Category
Laos
Thailand
Result
Areakm² · Higher wins ↑
236,800
513,120
Would lose
Populationpeople · Higher wins ↑
7,664,993
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
23,598
Would lose
Densityper km² · Higher wins ↑
32.4
139.7
Would lose
Highest peakm · Higher wins ↑
2,817
2,565
Would win
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
15.5° N
Would lose
7
Round 7Won19 countries · 4 lives left
MalawivsSerbia
Area: 118,484 vs 77,474 km² · Higher wins ↑
Conquered Serbia, Thailand.
Other category comparisons 4 other winning choices
All eight categories for Malawi against Serbia
Category
Malawi
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
118,484
77,474
Would win
Populationpeople · Higher wins ↑
21,104,482
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
29,777
Would lose
Densityper km² · Higher wins ↑
178.1
85.5
Would win
Highest peakm · Higher wins ↑
3,002
2,169
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
44.2° N
Would win
8
Round 8Won20 countries · 4 lives left
Costa RicavsCabo Verde
Area: 51,100 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 5 other winning choices
All eight categories for Costa Rica against Cabo Verde
Category
Costa Rica
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
51,100
4,033
Would win
Populationpeople · Higher wins ↑
5,105,525
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
29,248
10,251
Would win
Densityper km² · Higher wins ↑
99.9
129.5
Would lose
Highest peakm · Higher wins ↑
3,819
2,829
Would win
Coastlinekm · Higher wins ↑
1,290
965
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.1° N
15.0° N
Would win
9
Round 9Won21 countries · 4 lives left
DR CongovsBolivia
Population: 105,789,731 vs 12,244,159 people · Higher wins ↑
Conquered Bolivia.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Bolivia
Category
DR Congo
Bolivia
Result
Areakm² · Higher wins ↑
2,344,858
1,098,581
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
12,903
Would lose
Densityper km² · Higher wins ↑
45.1
11.1
Would win
Highest peakm · Higher wins ↑
5,110
6,542
Would lose
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
16.7° S
Would win
10
Round 10Won22 countries · 4 lives left
SwitzerlandvsIndonesia
Wealth per person: 93,940 vs 15,428 int’l $ · Higher wins ↑
Conquered Indonesia.
Other category comparisons 1 other winning choice
All eight categories for Switzerland against Indonesia
Category
Switzerland
Indonesia
Result
Areakm² · Higher wins ↑
41,277
1,904,569
Would lose
Populationpeople · Higher wins ↑
8,888,822
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
15,428
Would win
Densityper km² · Higher wins ↑
215.3
147.6
Would win
Highest peakm · Higher wins ↑
4,634
4,884
Would lose
Coastlinekm · Higher wins ↑
0
54,716
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
1.0° S
Would lose
11
Round 11Won23 countries · 4 lives left
RussiavsPoland
Area: 17,098,242 vs 312,685 km² · Higher wins ↑
Conquered Poland.
Other category comparisons 4 other winning choices
All eight categories for Russia against Poland
Category
Russia
Poland
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
312,685
Would win
Populationpeople · Higher wins ↑
143,826,130
36,687,353
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
48,473
Would lose
Densityper km² · Higher wins ↑
8.4
117.3
Would lose
Highest peakm · Higher wins ↑
5,642
2,499
Would win
Coastlinekm · Higher wins ↑
37,653
440
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
51.9° N
Would lose
12
Round 12Won24 countries · 4 lives left
DenmarkvsDjibouti
Wealth per person: 77,425 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Denmark against Djibouti
Category
Denmark
Djibouti
Result
Areakm² · Higher wins ↑
43,094
23,200
Would win
Populationpeople · Higher wins ↑
5,946,952
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
7,232
Would win
Densityper km² · Higher wins ↑
138.0
49.7
Would win
Highest peakm · Higher wins ↑
171
2,021
Would lose
Coastlinekm · Higher wins ↑
7,314
314
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
11.4° N
Would lose
13
Round 13Won25 countries · 4 lives left
SingaporevsSierra Leone
Density: 8,230.4 vs 117.9 per km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Sierra Leone
Category
Singapore
Sierra Leone
Result
Areakm² · Higher wins ↑
719
71,740
Would lose
Populationpeople · Higher wins ↑
5,917,648
8,460,512
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
3,371
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
117.9
Would win
Highest peakm · Higher wins ↑
166
1,948
Would lose
Coastlinekm · Higher wins ↑
193
402
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
8.7° N
Would win
14
Round 14Won26 countries · 4 lives left
Republic of the CongovsGuatemala
Proximity to equator: 0.1° N vs 15.0° N from the equator · Closer wins ↓
Conquered Guatemala.
Other category comparisons 1 other winning choice
All eight categories for Republic of the Congo against Guatemala
Category
Republic of the Congo
Guatemala
Result
Areakm² · Higher wins ↑
342,000
108,889
Would win
Populationpeople · Higher wins ↑
6,182,885
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
13,752
Would lose
Densityper km² · Higher wins ↑
18.1
166.5
Would lose
Highest peakm · Higher wins ↑
1,020
4,220
Would lose
Coastlinekm · Higher wins ↑
169
400
Would lose
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
15.0° N
Would win
15
Round 15Won27 countries · 4 lives left
Burkina FasovsIndia
Proximity to equator: 12.8° N vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Burkina Faso against India
Category
Burkina Faso
India
Result
Areakm² · Higher wins ↑
274,200
3,287,263
Would lose
Populationpeople · Higher wins ↑
23,025,776
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
2,762
9,853
Would lose
Densityper km² · Higher wins ↑
84.0
437.5
Would lose
Highest peakm · Higher wins ↑
749
8,586
Would lose
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
22.4° N
Would win
16
Round 16Won28 countries · 4 lives left
Equatorial GuineavsPhilippines
Proximity to equator: 1.6° N vs 17.0° N from the equator · Closer wins ↓
Conquered Philippines.
Other category comparisons 3 other winning choices
All eight categories for Equatorial Guinea against Philippines
Category
Equatorial Guinea
Philippines
Result
Areakm² · Higher wins ↑
28,051
300,000
Would lose
Populationpeople · Higher wins ↑
1,847,549
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
10,995
Would win
Densityper km² · Higher wins ↑
65.9
383.0
Would lose
Highest peakm · Higher wins ↑
3,008
2,954
Would win
Coastlinekm · Higher wins ↑
296
36,289
Would lose
Flag colourscolours · Higher wins ↑
8
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
17.0° N
Would win
17
Round 17Won29 countries · 4 lives left
ArgentinavsQatar
Area: 2,780,400 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 4 other winning choices
All eight categories for Argentina against Qatar
Category
Argentina
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
11,586
Would win
Populationpeople · Higher wins ↑
45,538,401
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
129,025
Would lose
Densityper km² · Higher wins ↑
16.4
229.2
Would lose
Highest peakm · Higher wins ↑
6,962
103
Would win
Coastlinekm · Higher wins ↑
4,989
563
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
25.1° N
Would lose
18
Round 18Won30 countries · 4 lives left
SurinamevsRwanda
Area: 163,820 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 3 other winning choices
All eight categories for Suriname against Rwanda
Category
Suriname
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
163,820
26,338
Would win
Populationpeople · Higher wins ↑
628,886
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
3,519
Would win
Densityper km² · Higher wins ↑
3.8
529.8
Would lose
Highest peakm · Higher wins ↑
1,230
4,519
Would lose
Coastlinekm · Higher wins ↑
386
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
1.8° S
Would lose
19
Round 19Won31 countries · 4 lives left
PalestinevsSouth Korea
Density: 830.5 vs 518.6 per km² · Higher wins ↑
Conquered South Korea.
Other category comparisons 1 other winning choice
All eight categories for Palestine against South Korea
Category
Palestine
South Korea
Result
Areakm² · Higher wins ↑
6,220
99,720
Would lose
Populationpeople · Higher wins ↑
5,165,775
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
57,430
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
518.6
Would win
Highest peakm · Higher wins ↑
1,020
1,950
Would lose
Coastlinekm · Higher wins ↑
40
2,413
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
36.3° N
Would win
20
Round 20Won32 countries · 4 lives left
FrancevsZimbabwe
Wealth per person: 60,927 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 5 other winning choices
All eight categories for France against Zimbabwe
Category
France
Zimbabwe
Result
Areakm² · Higher wins ↑
551,500
390,757
Would win
Populationpeople · Higher wins ↑
65,925,961
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
5,796
Would win
Densityper km² · Higher wins ↑
119.5
41.8
Would win
Highest peakm · Higher wins ↑
4,810
2,592
Would win
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Singaporevs
Republic of the Congo
Burkina Faso
Equatorial Guinea
Argentina
Suriname
Palestine
France
Burundi
Iran
Laos
Thailand
Malawi
Serbia
Costa Rica
Cabo Verde
DR Congo
Bolivia
Switzerland
Indonesia
Russia
Poland
Denmark
Djibouti
Sierra Leone
Guatemala
India
Philippines
Qatar
Rwanda
South Korea
Zimbabwe