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Untimed expedition · Data edition 01051846d672
39Wins
4Losses
0Ties
Explore the final empire · 47 countries
No countries match your search.
The path through the world
One choice at a time.
43 rounds
Where it began · 12 countries
Guinea · Georgia · Myanmar · Russia · Zimbabwe · DR Congo · Egypt · Chile · Latvia · Pakistan · China · Vietnam
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
GuineavsBosnia and Herzegovina
Proximity to equator: 10.7° N vs 44.1° N from the equator · Closer wins ↓
Conquered Bosnia and Herzegovina.
Other category comparisons 3 other winning choices
All eight categories for Guinea against Bosnia and Herzegovina
Category
Guinea
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
245,857
51,197
Would win
Populationpeople · Higher wins ↑
14,405,468
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
23,376
Would lose
Densityper km² · Higher wins ↑
58.6
62.2
Would lose
Highest peakm · Higher wins ↑
1,752
2,386
Would lose
Coastlinekm · Higher wins ↑
320
20
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
44.1° N
Would win
2
Round 2Won14 countries · 4 lives left
GeorgiavsLiberia
Wealth per person: 25,093 vs 1,796 int’l $ · Higher wins ↑
Conquered Liberia.
Other category comparisons 2 other winning choices
All eight categories for Georgia against Liberia
Category
Georgia
Liberia
Result
Areakm² · Higher wins ↑
69,700
111,369
Would lose
Populationpeople · Higher wins ↑
3,715,483
5,493,031
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,093
1,796
Would win
Densityper km² · Higher wins ↑
53.3
49.3
Would win
Highest peakm · Higher wins ↑
5,193
1,447
Would win
Coastlinekm · Higher wins ↑
310
579
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
7.0° N
Would lose
3
Round 3Won15 countries · 4 lives left
MyanmarvsLebanon
Area: 676,578 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Lebanon
Category
Myanmar
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
676,578
10,400
Would win
Populationpeople · Higher wins ↑
54,133,798
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
12,585
Would lose
Densityper km² · Higher wins ↑
80.0
555.1
Would lose
Highest peakm · Higher wins ↑
5,870
3,088
Would win
Coastlinekm · Higher wins ↑
1,930
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
34.2° N
Would win
4
Round 4Won16 countries · 4 lives left
RussiavsCentral African Republic
Area: 17,098,242 vs 622,984 km² · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 5 other winning choices
All eight categories for Russia against Central African Republic
Category
Russia
Central African Republic
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
622,984
Would win
Populationpeople · Higher wins ↑
143,826,130
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
1,258
Would win
Densityper km² · Higher wins ↑
8.4
8.3
Would win
Highest peakm · Higher wins ↑
5,642
1,410
Would win
Coastlinekm · Higher wins ↑
37,653
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
7.0° N
Would lose
5
Round 5Won17 countries · 4 lives left
ZimbabwevsSomalia
Highest peak: 2,592 vs 2,460 m · Higher wins ↑
Conquered Somalia.
Other category comparisons 3 other winning choices
All eight categories for Zimbabwe against Somalia
Category
Zimbabwe
Somalia
Result
Areakm² · Higher wins ↑
390,757
637,657
Would lose
Populationpeople · Higher wins ↑
16,340,822
18,358,615
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
1,557
Would win
Densityper km² · Higher wins ↑
41.8
28.8
Would win
Highest peakm · Higher wins ↑ · Chosen
2,592
2,460
Would win
Coastlinekm · Higher wins ↑
0
3,025
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
2.6° N
Would lose
6
Round 6Won18 countries · 4 lives left
DR CongovsArgentina
Population: 105,789,731 vs 45,538,401 people · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for DR Congo against Argentina
Category
DR Congo
Argentina
Result
Areakm² · Higher wins ↑
2,344,858
2,780,400
Would lose
Populationpeople · Higher wins ↑ · Chosen
105,789,731
45,538,401
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
30,246
Would lose
Densityper km² · Higher wins ↑
45.1
16.4
Would win
Highest peakm · Higher wins ↑
5,110
6,962
Would lose
Coastlinekm · Higher wins ↑
37
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
31.4° S
Would win
7
Round 7Won19 countries · 4 lives left
EgyptvsSingapore
Area: 1,001,450 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 4 other winning choices
All eight categories for Egypt against Singapore
Category
Egypt
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
1,001,450
719
Would win
Populationpeople · Higher wins ↑
114,535,772
5,917,648
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
144,728
Would lose
Densityper km² · Higher wins ↑
114.4
8,230.4
Would lose
Highest peakm · Higher wins ↑
2,629
166
Would win
Coastlinekm · Higher wins ↑
2,450
193
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
1.4° N
Would lose
8
Round 8Won20 countries · 4 lives left
ChilevsGambia
Coastline: 6,435 vs 80 km · Higher wins ↑
Conquered Gambia.
Other category comparisons 4 other winning choices
All eight categories for Chile against Gambia
Category
Chile
Gambia
Result
Areakm² · Higher wins ↑
756,102
11,300
Would win
Populationpeople · Higher wins ↑
19,658,835
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
3,292
Would win
Densityper km² · Higher wins ↑
26.0
238.7
Would lose
Highest peakm · Higher wins ↑
6,893
63
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
80
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
13.6° N
Would lose
9
Round 9Won21 countries · 4 lives left
LatviavsNigeria
Wealth per person: 42,784 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 0 other winning choices
All eight categories for Latvia against Nigeria
Category
Latvia
Nigeria
Result
Areakm² · Higher wins ↑
64,589
923,768
Would lose
Populationpeople · Higher wins ↑
1,883,710
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
8,712
Would win
Densityper km² · Higher wins ↑
29.2
246.7
Would lose
Highest peakm · Higher wins ↑
312
2,419
Would lose
Coastlinekm · Higher wins ↑
498
853
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
9.4° N
Would lose
10
Round 10Won22 countries · 4 lives left
PakistanvsSouth Sudan
Population: 247,504,495 vs 11,483,374 people · Higher wins ↑
Conquered South Sudan.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against South Sudan
Category
Pakistan
South Sudan
Result
Areakm² · Higher wins ↑
796,095
644,329
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
6,019
Unavailable
Unavailable
Densityper km² · Higher wins ↑
310.9
17.8
Would win
Highest peakm · Higher wins ↑
8,611
3,187
Would win
Coastlinekm · Higher wins ↑
1,046
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
7.1° N
Would lose
11
Round 11Won23 countries · 4 lives left
ChinavsNiger
Population: 1,410,710,000 vs 26,159,867 people · Higher wins ↑
Conquered Niger.
Other category comparisons 5 other winning choices
All eight categories for China against Niger
Category
China
Niger
Result
Areakm² · Higher wins ↑
9,596,960
1,267,000
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
1,903
Would win
Densityper km² · Higher wins ↑
147.0
20.6
Would win
Highest peakm · Higher wins ↑
8,849
2,022
Would win
Coastlinekm · Higher wins ↑
14,500
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
17.6° N
Would lose
12
Round 12Won24 countries · 4 lives left
VietnamvsSlovenia
Population: 100,352,192 vs 2,120,461 people · Higher wins ↑
Conquered Slovenia.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Slovenia
Category
Vietnam
Slovenia
Result
Areakm² · Higher wins ↑
331,210
20,273
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
56,151
Would lose
Densityper km² · Higher wins ↑
303.0
104.6
Would win
Highest peakm · Higher wins ↑
3,144
2,864
Would win
Coastlinekm · Higher wins ↑
3,444
46.6
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
46.0° N
Would win
13
Round 13Won25 countries · 4 lives left
GuineavsBrunei
Population: 14,405,468 vs 458,949 people · Higher wins ↑
Conquered Brunei.
Other category comparisons 2 other winning choices
All eight categories for Guinea against Brunei
Category
Guinea
Brunei
Result
Areakm² · Higher wins ↑
245,857
5,765
Would win
Populationpeople · Higher wins ↑ · Chosen
14,405,468
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
85,103
Would lose
Densityper km² · Higher wins ↑
58.6
79.6
Would lose
Highest peakm · Higher wins ↑
1,752
1,850
Would lose
Coastlinekm · Higher wins ↑
320
161
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
4.5° N
Would lose
14
Round 14Won26 countries · 4 lives left
Bosnia and HerzegovinavsSouth Africa
Wealth per person: 23,376 vs 15,212 int’l $ · Higher wins ↑
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Bosnia and Herzegovina against South Africa
Category
Bosnia and Herzegovina
South Africa
Result
Areakm² · Higher wins ↑
51,197
1,219,090
Would lose
Populationpeople · Higher wins ↑
3,185,073
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,376
15,212
Would win
Densityper km² · Higher wins ↑
62.2
51.9
Would win
Highest peakm · Higher wins ↑
2,386
3,450
Would lose
Coastlinekm · Higher wins ↑
20
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
30.2° S
Would lose
15
Round 15Won27 countries · 4 lives left
GeorgiavsMozambique
Wealth per person: 25,093 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for Georgia against Mozambique
Category
Georgia
Mozambique
Result
Areakm² · Higher wins ↑
69,700
799,380
Would lose
Populationpeople · Higher wins ↑
3,715,483
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,093
1,680
Would win
Densityper km² · Higher wins ↑
53.3
42.1
Would win
Highest peakm · Higher wins ↑
5,193
2,436
Would win
Coastlinekm · Higher wins ↑
310
2,470
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
14.0° S
Would lose
16
Round 16Won28 countries · 4 lives left
LiberiavsSudan
Proximity to equator: 7.0° N vs 16.6° N from the equator · Closer wins ↓
Conquered Sudan.
Other category comparisons 1 other winning choice
All eight categories for Liberia against Sudan
Category
Liberia
Sudan
Result
Areakm² · Higher wins ↑
111,369
1,861,484
Would lose
Populationpeople · Higher wins ↑
5,493,031
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
2,423
Would lose
Densityper km² · Higher wins ↑
49.3
26.9
Would win
Highest peakm · Higher wins ↑
1,447
3,042
Would lose
Coastlinekm · Higher wins ↑
579
853
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
16.6° N
Would win
17
Round 17Won29 countries · 4 lives left
MyanmarvsTrinidad and Tobago
Population: 54,133,798 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 4 other winning choices
All eight categories for Myanmar against Trinidad and Tobago
Category
Myanmar
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
676,578
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
34,652
Would lose
Densityper km² · Higher wins ↑
80.0
266.7
Would lose
Highest peakm · Higher wins ↑
5,870
940
Would win
Coastlinekm · Higher wins ↑
1,930
362
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
10.3° N
Would lose
18
Round 18Won30 countries · 4 lives left
LebanonvsMali
Wealth per person: 12,585 vs 3,178 int’l $ · Higher wins ↑
Conquered Mali.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Mali
Category
Lebanon
Mali
Result
Areakm² · Higher wins ↑
10,400
1,240,192
Would lose
Populationpeople · Higher wins ↑
5,773,493
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
12,585
3,178
Would win
Densityper km² · Higher wins ↑
555.1
19.2
Would win
Highest peakm · Higher wins ↑
3,088
1,155
Would win
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
18.6° N
Would lose
19
Round 19Won31 countries · 4 lives left
RussiavsNepal
Area: 17,098,242 vs 147,181 km² · Higher wins ↑
Conquered Nepal.
Other category comparisons 3 other winning choices
All eight categories for Russia against Nepal
Category
Russia
Nepal
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
147,181
Would win
Populationpeople · Higher wins ↑
143,826,130
29,694,614
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
5,400
Would win
Densityper km² · Higher wins ↑
8.4
201.8
Would lose
Highest peakm · Higher wins ↑
5,642
8,849
Would lose
Coastlinekm · Higher wins ↑
37,653
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
29.0° N
Would lose
20
Round 20Lost30 countries · 3 lives left
Central African RepublicvsBrazil
Population: 5,152,421 vs 211,140,729 people · Higher wins ↑
Returned to the world: Central African Republic.
Other category comparisons 2 other winning choices
All eight categories for Central African Republic against Brazil
Category
Central African Republic
Brazil
Result
Areakm² · Higher wins ↑
622,984
8,515,770
Would lose
Populationpeople · Higher wins ↑ · Chosen
5,152,421
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
21,193
Would lose
Densityper km² · Higher wins ↑
8.3
24.8
Would lose
Highest peakm · Higher wins ↑
1,410
2,994
Would lose
Coastlinekm · Higher wins ↑
0
7,491
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓