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Untimed expedition · Data edition 01051846d672
28Wins
2Losses
0Ties
Explore the final empire · 38 countries
No countries match your search.
The path through the world
One choice at a time.
30 rounds
Where it began · 12 countries
Indonesia · Zambia · North Korea · Lebanon · India · Moldova · Canada · Bolivia · Tajikistan · New Zealand · Burundi · Haiti
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won31 countries · 3 lives left
IndiavsLithuania
Population: 1,438,069,596 vs 2,871,585 people · Higher wins ↑
Conquered Lithuania.
Other category comparisons 6 other winning choices
All eight categories for India against Lithuania
Category
India
Lithuania
Result
Areakm² · Higher wins ↑
3,287,263
65,300
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
52,720
Would lose
Densityper km² · Higher wins ↑
437.5
44.0
Would win
Highest peakm · Higher wins ↑
8,586
294
Would win
Coastlinekm · Higher wins ↑
7,000
90
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
55.1° N
Would win
22
Round 22Won32 countries · 3 lives left
Equatorial GuineavsDominican Republic
Proximity to equator: 1.6° N vs 19.1° N from the equator · Closer wins ↓
Conquered Dominican Republic.
Other category comparisons 1 other winning choice
All eight categories for Equatorial Guinea against Dominican Republic
Category
Equatorial Guinea
Dominican Republic
Result
Areakm² · Higher wins ↑
28,051
48,670
Would lose
Populationpeople · Higher wins ↑
1,847,549
11,331,265
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
25,861
Would lose
Densityper km² · Higher wins ↑
65.9
232.8
Would lose
Highest peakm · Higher wins ↑
3,008
3,098
Would lose
Coastlinekm · Higher wins ↑
296
1,288
Would lose
Flag colourscolours · Higher wins ↑
8
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
19.1° N
Would win
23
Round 23Won33 countries · 3 lives left
MoldovavsDjibouti
Wealth per person: 17,751 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Moldova against Djibouti
Category
Moldova
Djibouti
Result
Areakm² · Higher wins ↑
33,851
23,200
Would win
Populationpeople · Higher wins ↑
2,457,783
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
7,232
Would win
Densityper km² · Higher wins ↑
72.6
49.7
Would win
Highest peakm · Higher wins ↑
430
2,021
Would lose
Coastlinekm · Higher wins ↑
0
314
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
11.4° N
Would lose
24
Round 24Won34 countries · 3 lives left
MalivsNetherlands
Area: 1,240,192 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 3 other winning choices
All eight categories for Mali against Netherlands
Category
Mali
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
41,543
Would win
Populationpeople · Higher wins ↑
23,769,127
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
3,178
80,392
Would lose
Densityper km² · Higher wins ↑
19.2
430.3
Would lose
Highest peakm · Higher wins ↑
1,155
322
Would win
Coastlinekm · Higher wins ↑
0
451
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
52.2° N
Would win
25
Round 25Won35 countries · 3 lives left
CanadavsTrinidad and Tobago
Area: 9,984,670 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 4 other winning choices
All eight categories for Canada against Trinidad and Tobago
Category
Canada
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
5,128
Would win
Populationpeople · Higher wins ↑
40,049,088
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
34,652
Would win
Densityper km² · Higher wins ↑
4.0
266.7
Would lose
Highest peakm · Higher wins ↑
5,959
940
Would win
Coastlinekm · Higher wins ↑
202,080
362
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
10.3° N
Would lose
26
Round 26Won36 countries · 3 lives left
OmanvsDR Congo
Wealth per person: 41,980 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 1 other winning choice
All eight categories for Oman against DR Congo
Category
Oman
DR Congo
Result
Areakm² · Higher wins ↑
309,500
2,344,858
Would lose
Populationpeople · Higher wins ↑
5,049,269
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
41,980
1,732
Would win
Densityper km² · Higher wins ↑
16.3
45.1
Would lose
Highest peakm · Higher wins ↑
3,004
5,110
Would lose
Coastlinekm · Higher wins ↑
2,092
37
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
1.9° S
Would lose
27
Round 27Won37 countries · 3 lives left
BoliviavsGhana
Highest peak: 6,542 vs 885 m · Higher wins ↑
Conquered Ghana.
Other category comparisons 3 other winning choices
All eight categories for Bolivia against Ghana
Category
Bolivia
Ghana
Result
Areakm² · Higher wins ↑
1,098,581
238,533
Would win
Populationpeople · Higher wins ↑
12,244,159
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
7,563
Would win
Densityper km² · Higher wins ↑
11.1
141.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
885
Would win
Coastlinekm · Higher wins ↑
0
539
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
7.0° N
Would lose
28
Round 28Won38 countries · 3 lives left
AlgeriavsItaly
Area: 2,381,740 vs 301,340 km² · Higher wins ↑
Conquered Italy.
Other category comparisons 1 other winning choice
All eight categories for Algeria against Italy
Category
Algeria
Italy
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
301,340
Would win
Populationpeople · Higher wins ↑
46,164,219
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
16,838
60,350
Would lose
Densityper km² · Higher wins ↑
19.4
195.7
Would lose
Highest peakm · Higher wins ↑
2,908
4,748
Would lose
Coastlinekm · Higher wins ↑
998
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
45.1° N
Would win
29
Round 29Won39 countries · 3 lives left
TajikistanvsMyanmar
Highest peak: 7,495 vs 5,870 m · Higher wins ↑
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Tajikistan against Myanmar
Category
Tajikistan
Myanmar
Result
Areakm² · Higher wins ↑
144,100
676,578
Would lose
Populationpeople · Higher wins ↑
10,389,799
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
4,968
5,958
Would lose
Densityper km² · Higher wins ↑
72.1
80.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,495
5,870
Would win
Coastlinekm · Higher wins ↑
0
1,930
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
21.6° N
Would lose
30
Round 30Lost38 countries · 2 lives left
GeorgiavsArgentina
Highest peak: 5,193 vs 6,962 m · Higher wins ↑
Returned to the world: Georgia.
Other category comparisons 1 other winning choice
All eight categories for Georgia against Argentina
Category
Georgia
Argentina
Result
Areakm² · Higher wins ↑
69,700
2,780,400
Would lose
Populationpeople · Higher wins ↑
3,715,483
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
25,093
30,246
Would lose
Densityper km² · Higher wins ↑
53.3
16.4
Would win
Highest peakm · Higher wins ↑ · Chosen
5,193
6,962
Would lose
Coastlinekm · Higher wins ↑
310
4,989
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓