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Untimed expedition · Data edition 01051846d672
15Wins
2Losses
0Ties
Explore the final empire · 25 countries
No countries match your search.
The path through the world
One choice at a time.
17 rounds
Where it began · 12 countries
Singapore · Ireland · China · Kazakhstan · Lesotho · Sudan · Uganda · Honduras · Republic of the Congo · Colombia · Egypt · Bosnia and Herzegovina
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
SingaporevsBhutan
Wealth per person: 144,728 vs 16,229 int’l $ · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Singapore against Bhutan
Category
Singapore
Bhutan
Result
Areakm² · Higher wins ↑
719
38,394
Would lose
Populationpeople · Higher wins ↑
5,917,648
786,385
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
16,229
Would win
Densityper km² · Higher wins ↑
8,230.4
20.5
Would win
Highest peakm · Higher wins ↑
166
7,570
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
27.5° N
Would win
2
Round 2Won14 countries · 4 lives left
IrelandvsNigeria
Wealth per person: 133,440 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 2 other winning choices
All eight categories for Ireland against Nigeria
Category
Ireland
Nigeria
Result
Areakm² · Higher wins ↑
70,273
923,768
Would lose
Populationpeople · Higher wins ↑
5,311,538
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
8,712
Would win
Densityper km² · Higher wins ↑
75.6
246.7
Would lose
Highest peakm · Higher wins ↑
1,041
2,419
Would lose
Coastlinekm · Higher wins ↑
1,448
853
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
9.4° N
Would lose
3
Round 3Won15 countries · 4 lives left
ChinavsMyanmar
Population: 1,410,710,000 vs 54,133,798 people · Higher wins ↑
Conquered Myanmar.
Other category comparisons 5 other winning choices
All eight categories for China against Myanmar
Category
China
Myanmar
Result
Areakm² · Higher wins ↑
9,596,960
676,578
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
54,133,798
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
5,958
Would win
Densityper km² · Higher wins ↑
147.0
80.0
Would win
Highest peakm · Higher wins ↑
8,849
5,870
Would win
Coastlinekm · Higher wins ↑
14,500
1,930
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
21.6° N
Would lose
4
Round 4Won16 countries · 4 lives left
KazakhstanvsSerbia
Area: 2,724,900 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 3 other winning choices
All eight categories for Kazakhstan against Serbia
Category
Kazakhstan
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
77,474
Would win
Populationpeople · Higher wins ↑
20,330,104
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
29,777
Would win
Densityper km² · Higher wins ↑
7.5
85.5
Would lose
Highest peakm · Higher wins ↑
7,010
2,169
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
44.2° N
Would lose
5
Round 5Lost15 countries · 3 lives left
LesothovsGuatemala
Proximity to equator: 29.4° S vs 15.0° N from the equator · Closer wins ↓
Returned to the world: Lesotho.
Other category comparisons 0 other winning choices
All eight categories for Lesotho against Guatemala
Category
Lesotho
Guatemala
Result
Areakm² · Higher wins ↑
30,355
108,889
Would lose
Populationpeople · Higher wins ↑
2,311,472
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
13,752
Would lose
Densityper km² · Higher wins ↑
76.1
166.5
Would lose
Highest peakm · Higher wins ↑
3,482
4,220
Would lose
Coastlinekm · Higher wins ↑
0
400
Would lose
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.4° S
15.0° N
Would lose
6
Round 6Won16 countries · 3 lives left
SudanvsLesotho
Area: 1,861,484 vs 30,355 km² · Higher wins ↑
Conquered Lesotho.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Lesotho
Category
Sudan
Lesotho
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
30,355
Would win
Populationpeople · Higher wins ↑
50,042,791
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
2,880
Would lose
Densityper km² · Higher wins ↑
26.9
76.1
Would lose
Highest peakm · Higher wins ↑
3,042
3,482
Would lose
Coastlinekm · Higher wins ↑
853
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
29.4° S
Would win
7
Round 7Won17 countries · 3 lives left
UgandavsMorocco
Proximity to equator: 2.0° N vs 31.9° N from the equator · Closer wins ↓
Conquered Morocco.
Other category comparisons 4 other winning choices
All eight categories for Uganda against Morocco
Category
Uganda
Morocco
Result
Areakm² · Higher wins ↑
241,038
446,550
Would lose
Populationpeople · Higher wins ↑
48,656,601
37,712,505
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
9,903
Would lose
Densityper km² · Higher wins ↑
201.9
84.5
Would win
Highest peakm · Higher wins ↑
5,110
4,165
Would win
Coastlinekm · Higher wins ↑
0
1,835
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.0° N
31.9° N
Would win
8
Round 8Won18 countries · 3 lives left
HondurasvsRussia
Proximity to equator: 14.7° N vs 63.6° N from the equator · Closer wins ↓
Conquered Russia.
Other category comparisons 1 other winning choice
All eight categories for Honduras against Russia
Category
Honduras
Russia
Result
Areakm² · Higher wins ↑
112,090
17,098,242
Would lose
Populationpeople · Higher wins ↑
10,644,851
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
7,184
44,299
Would lose
Densityper km² · Higher wins ↑
95.0
8.4
Would win
Highest peakm · Higher wins ↑
2,870
5,642
Would lose
Coastlinekm · Higher wins ↑
823
37,653
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° N
63.6° N
Would win
9
Round 9Won19 countries · 3 lives left
Republic of the CongovsIran
Proximity to equator: 0.1° N vs 32.1° N from the equator · Closer wins ↓
Conquered Iran.
Other category comparisons 0 other winning choices
All eight categories for Republic of the Congo against Iran
Category
Republic of the Congo
Iran
Result
Areakm² · Higher wins ↑
342,000
1,648,195
Would lose
Populationpeople · Higher wins ↑
6,182,885
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
18,933
Would lose
Densityper km² · Higher wins ↑
18.1
55.0
Would lose
Highest peakm · Higher wins ↑
1,020
5,625
Would lose
Coastlinekm · Higher wins ↑
169
2,440
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
32.1° N
Would win
10
Round 10Won20 countries · 3 lives left
ColombiavsZambia
Population: 52,321,152 vs 20,723,965 people · Higher wins ↑
Conquered Zambia.
Other category comparisons 6 other winning choices
All eight categories for Colombia against Zambia
Category
Colombia
Zambia
Result
Areakm² · Higher wins ↑
1,138,910
752,618
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
4,080
Would win
Densityper km² · Higher wins ↑
45.9
27.5
Would win
Highest peakm · Higher wins ↑
5,730
2,330
Would win
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
14.7° S
Would win
11
Round 11Won21 countries · 3 lives left
EgyptvsChad
Population: 114,535,772 vs 19,319,064 people · Higher wins ↑
Conquered Chad.
Other category comparisons 4 other winning choices
All eight categories for Egypt against Chad
Category
Egypt
Chad
Result
Areakm² · Higher wins ↑
1,001,450
1,284,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
114,535,772
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
2,703
Would win
Densityper km² · Higher wins ↑
114.4
15.0
Would win
Highest peakm · Higher wins ↑
2,629
3,445
Would lose
Coastlinekm · Higher wins ↑
2,450
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
17.3° N
Would lose
12
Round 12Won22 countries · 3 lives left
Bosnia and HerzegovinavsMauritania
Wealth per person: 23,376 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 2 other winning choices
All eight categories for Bosnia and Herzegovina against Mauritania
Category
Bosnia and Herzegovina
Mauritania
Result
Areakm² · Higher wins ↑
51,197
1,030,700
Would lose
Populationpeople · Higher wins ↑
3,185,073
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,376
6,972
Would win
Densityper km² · Higher wins ↑
62.2
4.9
Would win
Highest peakm · Higher wins ↑
2,386
915
Would win
Coastlinekm · Higher wins ↑
20
754
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
19.4° N
Would lose
13
Round 13Won23 countries · 3 lives left
SingaporevsComoros
Wealth per person: 144,728 vs 3,897 int’l $ · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Comoros
Category
Singapore
Comoros
Result
Areakm² · Higher wins ↑
719
2,235
Would lose
Populationpeople · Higher wins ↑
5,917,648
850,387
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
3,897
Would win
Densityper km² · Higher wins ↑
8,230.4
380.5
Would win
Highest peakm · Higher wins ↑
166
2,360
Would lose
Coastlinekm · Higher wins ↑
193
340
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
11.7° S
Would win
14
Round 14Won24 countries · 3 lives left
BhutanvsSri Lanka
Highest peak: 7,570 vs 2,524 m · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Sri Lanka
Category
Bhutan
Sri Lanka
Result
Areakm² · Higher wins ↑
38,394
65,610
Would lose
Populationpeople · Higher wins ↑
786,385
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
14,512
Would win
Densityper km² · Higher wins ↑
20.5
335.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
2,524
Would win
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
7.1° N
Would lose
15
Round 15Won25 countries · 3 lives left
IrelandvsLibya
Wealth per person: 133,440 vs 13,858 int’l $ · Higher wins ↑
Conquered Libya.
Other category comparisons 1 other winning choice
All eight categories for Ireland against Libya
Category
Ireland
Libya
Result
Areakm² · Higher wins ↑
70,273
1,759,540
Would lose
Populationpeople · Higher wins ↑
5,311,538
7,305,659
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
13,858
Would win
Densityper km² · Higher wins ↑
75.6
4.2
Would win
Highest peakm · Higher wins ↑
1,041
2,267
Would lose
Coastlinekm · Higher wins ↑
1,448
1,770
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
26.1° N
Would lose
16
Round 16Won26 countries · 3 lives left
NigeriavsTanzania
Population: 227,882,945 vs 66,617,606 people · Higher wins ↑
Conquered Tanzania.
Other category comparisons 2 other winning choices
All eight categories for Nigeria against Tanzania
Category
Nigeria
Tanzania
Result
Areakm² · Higher wins ↑
923,768
947,300
Would lose
Populationpeople · Higher wins ↑ · Chosen
227,882,945
66,617,606
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
4,022
Would win
Densityper km² · Higher wins ↑
246.7
70.3
Would win
Highest peakm · Higher wins ↑
2,419
5,895
Would lose
Coastlinekm · Higher wins ↑
853
1,424
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
5.5° S
Would lose
17
Round 17Lost25 countries · 2 lives left
ChinavsIndia
Population: 1,410,710,000 vs 1,438,069,596 people · Higher wins ↑
Returned to the world: China.
Other category comparisons 4 other winning choices
All eight categories for China against India
Category
China
India
Result
Areakm² · Higher wins ↑
9,596,960
3,287,263
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
25,200
9,853
Would win
Densityper km² · Higher wins ↑
147.0
437.5
Would lose
Highest peakm · Higher wins ↑
8,849
8,586
Would win
Coastlinekm · Higher wins ↑
14,500
7,000
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓