A little knowledge. An empire of 64.

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. 1
   Round 1Won13 countries · 4 lives left

   Papua New GuineavsMontenegro

   Area: 462,840 vs 13,812 km² · Higher wins ↑

   Conquered Montenegro.

   Other category comparisons 4 other winning choices

   All eight categories for Papua New Guinea against Montenegro

   Category	Papua New Guinea	Montenegro	Result
   Areakm² · Higher wins ↑ · Chosen	462,840	13,812	Would win
   Populationpeople · Higher wins ↑	10,389,635	623,529	Would win
   Wealth per personint’l $ · Higher wins ↑	4,672	31,863	Would lose
   Densityper km² · Higher wins ↑	22.4	45.1	Would lose
   Highest peakm · Higher wins ↑	4,509	2,534	Would win
   Coastlinekm · Higher wins ↑	5,152	293.5	Would win
   Flag colourscolours · Higher wins ↑	4	5	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	5.5° S	42.8° N	Would win

2. 2
   Round 2Won14 countries · 4 lives left

   PakistanvsUganda

   Population: 247,504,495 vs 48,656,601 people · Higher wins ↑

   Conquered Uganda.

   Other category comparisons 5 other winning choices

   All eight categories for Pakistan against Uganda

   Category	Pakistan	Uganda	Result
   Areakm² · Higher wins ↑	796,095	241,038	Would win
   Populationpeople · Higher wins ↑ · Chosen	247,504,495	48,656,601	Would win
   Wealth per personint’l $ · Higher wins ↑	6,019	3,100	Would win
   Densityper km² · Higher wins ↑	310.9	201.9	Would win
   Highest peakm · Higher wins ↑	8,611	5,110	Would win
   Coastlinekm · Higher wins ↑	1,046	0	Would win
   Flag colourscolours · Higher wins ↑	2	5	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	27.8° N	2.0° N	Would lose

3. 3
   Round 3Won15 countries · 4 lives left

   BelgiumvsBrazil

   Wealth per person: 72,630 vs 21,193 int’l $ · Higher wins ↑

   Conquered Brazil.

   Other category comparisons 1 other winning choice

   All eight categories for Belgium against Brazil

   Category	Belgium	Brazil	Result
   Areakm² · Higher wins ↑	30,528	8,515,770	Would lose
   Populationpeople · Higher wins ↑	11,779,946	211,140,729	Would lose
   Wealth per personint’l $ · Higher wins ↑ · Chosen	72,630	21,193	Would win
   Densityper km² · Higher wins ↑	385.9	24.8	Would win
   Highest peakm · Higher wins ↑	694	2,994	Would lose
   Coastlinekm · Higher wins ↑	66.5	7,491	Would lose
   Flag colourscolours · Higher wins ↑	3	4	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	50.8° N	12.6° S	Would lose

4. 4
   Round 4Tied15 countries · 4 lives left

   MoldovavsAustria

   Coastline: 0 vs 0 km · Higher wins ↑

   Austria became contested.

   Other category comparisons 2 other winning choices

   All eight categories for Moldova against Austria

   Category	Moldova	Austria	Result
   Areakm² · Higher wins ↑	33,851	83,871	Would lose
   Populationpeople · Higher wins ↑	2,457,783	9,131,761	Would lose
   Wealth per personint’l $ · Higher wins ↑	17,751	74,261	Would lose
   Densityper km² · Higher wins ↑	72.6	108.9	Would lose
   Highest peakm · Higher wins ↑	430	3,798	Would lose
   Coastlinekm · Higher wins ↑ · Chosen	0	0	Would tie
   Flag colourscolours · Higher wins ↑	9	2	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	47.5° N	47.7° N	Would win

5. 5
   Round 5Won17 countries · 4 lives left

   Burkina FasovsMauritania

   Proximity to equator: 12.8° N vs 19.4° N from the equator · Closer wins ↓

   Conquered Mauritania, Austria.

   Other category comparisons 2 other winning choices

   All eight categories for Burkina Faso against Mauritania

   Category	Burkina Faso	Mauritania	Result
   Areakm² · Higher wins ↑	274,200	1,030,700	Would lose
   Populationpeople · Higher wins ↑	23,025,776	5,022,441	Would win
   Wealth per personint’l $ · Higher wins ↑	2,762	6,972	Would lose
   Densityper km² · Higher wins ↑	84.0	4.9	Would win
   Highest peakm · Higher wins ↑	749	915	Would lose
   Coastlinekm · Higher wins ↑	0	754	Would lose
   Flag colourscolours · Higher wins ↑	3	3	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	12.8° N	19.4° N	Would win

6. 6
   Round 6Won18 countries · 4 lives left

   MyanmarvsSudan

   Coastline: 1,930 vs 853 km · Higher wins ↑

   Conquered Sudan.

   Other category comparisons 4 other winning choices

   All eight categories for Myanmar against Sudan

   Category	Myanmar	Sudan	Result
   Areakm² · Higher wins ↑	676,578	1,861,484	Would lose
   Populationpeople · Higher wins ↑	54,133,798	50,042,791	Would win
   Wealth per personint’l $ · Higher wins ↑	5,958	2,423	Would win
   Densityper km² · Higher wins ↑	80.0	26.9	Would win
   Highest peakm · Higher wins ↑	5,870	3,042	Would win
   Coastlinekm · Higher wins ↑ · Chosen	1,930	853	Would win
   Flag colourscolours · Higher wins ↑	4	4	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	21.6° N	16.6° N	Would lose

7. 7
   Round 7Won19 countries · 4 lives left

   Costa RicavsNiger

   Coastline: 1,290 vs 0 km · Higher wins ↑

   Conquered Niger.

   Other category comparisons 4 other winning choices

   All eight categories for Costa Rica against Niger

   Category	Costa Rica	Niger	Result
   Areakm² · Higher wins ↑	51,100	1,267,000	Would lose
   Populationpeople · Higher wins ↑	5,105,525	26,159,867	Would lose
   Wealth per personint’l $ · Higher wins ↑	29,248	1,903	Would win
   Densityper km² · Higher wins ↑	99.9	20.6	Would win
   Highest peakm · Higher wins ↑	3,819	2,022	Would win
   Coastlinekm · Higher wins ↑ · Chosen	1,290	0	Would win
   Flag colourscolours · Higher wins ↑	3	3	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	10.1° N	17.6° N	Would win

8. 8
   Round 8Won20 countries · 4 lives left

   PortugalvsEswatini

   Wealth per person: 49,800 vs 11,309 int’l $ · Higher wins ↑

   Conquered Eswatini.

   Other category comparisons 5 other winning choices

   All eight categories for Portugal against Eswatini

   Category	Portugal	Eswatini	Result
   Areakm² · Higher wins ↑	92,090	17,364	Would win
   Populationpeople · Higher wins ↑	10,578,174	1,230,506	Would win
   Wealth per personint’l $ · Higher wins ↑ · Chosen	49,800	11,309	Would win
   Densityper km² · Higher wins ↑	114.9	70.9	Would win
   Highest peakm · Higher wins ↑	2,351	1,862	Would win
   Coastlinekm · Higher wins ↑	1,793	0	Would win
   Flag colourscolours · Higher wins ↑	6	6	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	40.7° N	26.6° S	Would lose

9. 9
   Round 9Won21 countries · 4 lives left

   MalaysiavsBrunei

   Area: 329,847 vs 5,765 km² · Higher wins ↑

   Conquered Brunei.

   Other category comparisons 5 other winning choices

   All eight categories for Malaysia against Brunei

   Category	Malaysia	Brunei	Result
   Areakm² · Higher wins ↑ · Chosen	329,847	5,765	Would win
   Populationpeople · Higher wins ↑	35,126,298	458,949	Would win
   Wealth per personint’l $ · Higher wins ↑	36,497	85,103	Would lose
   Densityper km² · Higher wins ↑	106.5	79.6	Would win
   Highest peakm · Higher wins ↑	4,095	1,850	Would win
   Coastlinekm · Higher wins ↑	4,675	161	Would win
   Flag colourscolours · Higher wins ↑	4	4	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	4.4° N	4.5° N	Would win

10. 10
    Round 10Won22 countries · 4 lives left

    United Arab EmiratesvsSouth Korea

    Proximity to equator: 23.5° N vs 36.3° N from the equator · Closer wins ↓

    Conquered South Korea.

    Other category comparisons 1 other winning choice

    All eight categories for United Arab Emirates against South Korea

    Category	United Arab Emirates	South Korea	Result
    Areakm² · Higher wins ↑	83,600	99,720	Would lose
    Populationpeople · Higher wins ↑	10,483,751	51,712,619	Would lose
    Wealth per personint’l $ · Higher wins ↑	78,020	57,430	Would win
    Densityper km² · Higher wins ↑	125.4	518.6	Would lose
    Highest peakm · Higher wins ↑	1,905	1,950	Would lose
    Coastlinekm · Higher wins ↑	1,318	2,413	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	23.5° N	36.3° N	Would win

11. 11
    Round 11Won23 countries · 4 lives left

    BeninvsMadagascar

    Density: 125.3 vs 53.1 per km² · Higher wins ↑

    Conquered Madagascar.

    Other category comparisons 2 other winning choices

    All eight categories for Benin against Madagascar

    Category	Benin	Madagascar	Result
    Areakm² · Higher wins ↑	112,622	587,041	Would lose
    Populationpeople · Higher wins ↑	14,111,034	31,195,932	Would lose
    Wealth per personint’l $ · Higher wins ↑	4,133	1,810	Would win
    Densityper km² · Higher wins ↑ · Chosen	125.3	53.1	Would win
    Highest peakm · Higher wins ↑	675	2,876	Would lose
    Coastlinekm · Higher wins ↑	121	4,828	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	10.4° N	18.4° S	Would win

12. 12
    Round 12Won24 countries · 4 lives left

    TunisiavsSouth Sudan

    Coastline: 1,148 vs 0 km · Higher wins ↑

    Conquered South Sudan.

    Other category comparisons 2 other winning choices

    All eight categories for Tunisia against South Sudan

    Category	Tunisia	South Sudan	Result
    Areakm² · Higher wins ↑	163,610	644,329	Would lose
    Populationpeople · Higher wins ↑	12,200,431	11,483,374	Would win
    Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.	14,052	Unavailable	Unavailable
    Densityper km² · Higher wins ↑	74.6	17.8	Would win
    Highest peakm · Higher wins ↑	1,544	3,187	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	1,148	0	Would win
    Flag colourscolours · Higher wins ↑	2	6	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	35.3° N	7.1° N	Would lose

13. 13
    Round 13Won25 countries · 4 lives left

    Papua New GuineavsMalawi

    Area: 462,840 vs 118,484 km² · Higher wins ↑

    Conquered Malawi.

    Other category comparisons 5 other winning choices

    All eight categories for Papua New Guinea against Malawi

    Category	Papua New Guinea	Malawi	Result
    Areakm² · Higher wins ↑ · Chosen	462,840	118,484	Would win
    Populationpeople · Higher wins ↑	10,389,635	21,104,482	Would lose
    Wealth per personint’l $ · Higher wins ↑	4,672	1,832	Would win
    Densityper km² · Higher wins ↑	22.4	178.1	Would lose
    Highest peakm · Higher wins ↑	4,509	3,002	Would win
    Coastlinekm · Higher wins ↑	5,152	0	Would win
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	5.5° S	13.4° S	Would win

14. 14
    Round 14Won26 countries · 4 lives left

    MontenegrovsNepal

    Wealth per person: 31,863 vs 5,400 int’l $ · Higher wins ↑

    Conquered Nepal.

    Other category comparisons 2 other winning choices

    All eight categories for Montenegro against Nepal

    Category	Montenegro	Nepal	Result
    Areakm² · Higher wins ↑	13,812	147,181	Would lose
    Populationpeople · Higher wins ↑	623,529	29,694,614	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	31,863	5,400	Would win
    Densityper km² · Higher wins ↑	45.1	201.8	Would lose
    Highest peakm · Higher wins ↑	2,534	8,849	Would lose
    Coastlinekm · Higher wins ↑	293.5	0	Would win
    Flag colourscolours · Higher wins ↑	5	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	42.8° N	29.0° N	Would lose

15. 15
    Round 15Won27 countries · 4 lives left

    PakistanvsParaguay

    Population: 247,504,495 vs 6,844,146 people · Higher wins ↑

    Conquered Paraguay.

    Other category comparisons 4 other winning choices

    All eight categories for Pakistan against Paraguay

    Category	Pakistan	Paraguay	Result
    Areakm² · Higher wins ↑	796,095	406,752	Would win
    Populationpeople · Higher wins ↑ · Chosen	247,504,495	6,844,146	Would win
    Wealth per personint’l $ · Higher wins ↑	6,019	17,585	Would lose
    Densityper km² · Higher wins ↑	310.9	16.8	Would win
    Highest peakm · Higher wins ↑	8,611	842	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	21.6° S	Would lose

16. 16
    Round 16Won28 countries · 4 lives left

    UgandavsChad

    Population: 48,656,601 vs 19,319,064 people · Higher wins ↑

    Conquered Chad.

    Other category comparisons 5 other winning choices

    All eight categories for Uganda against Chad

    Category	Uganda	Chad	Result
    Areakm² · Higher wins ↑	241,038	1,284,000	Would lose
    Populationpeople · Higher wins ↑ · Chosen	48,656,601	19,319,064	Would win
    Wealth per personint’l $ · Higher wins ↑	3,100	2,703	Would win
    Densityper km² · Higher wins ↑	201.9	15.0	Would win
    Highest peakm · Higher wins ↑	5,110	3,445	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	5	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	2.0° N	17.3° N	Would win

17. 17
    Round 17Won29 countries · 4 lives left

    BelgiumvsBhutan

    Wealth per person: 72,630 vs 16,229 int’l $ · Higher wins ↑

    Conquered Bhutan.

    Other category comparisons 3 other winning choices

    All eight categories for Belgium against Bhutan

    Category	Belgium	Bhutan	Result
    Areakm² · Higher wins ↑	30,528	38,394	Would lose
    Populationpeople · Higher wins ↑	11,779,946	786,385	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	72,630	16,229	Would win
    Densityper km² · Higher wins ↑	385.9	20.5	Would win
    Highest peakm · Higher wins ↑	694	7,570	Would lose
    Coastlinekm · Higher wins ↑	66.5	0	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	50.8° N	27.5° N	Would lose

18. 18
    Round 18Won30 countries · 4 lives left

    BrazilvsNorth Korea

    Area: 8,515,770 vs 120,538 km² · Higher wins ↑

    Conquered North Korea.

    Other category comparisons 5 other winning choices

    All eight categories for Brazil against North Korea

    Category	Brazil	North Korea	Result
    Areakm² · Higher wins ↑ · Chosen	8,515,770	120,538	Would win
    Populationpeople · Higher wins ↑	211,140,729	26,418,204	Would win
    Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.	21,193	Unavailable	Unavailable
    Densityper km² · Higher wins ↑	24.8	219.2	Would lose
    Highest peakm · Higher wins ↑	2,994	2,744	Would win
    Coastlinekm · Higher wins ↑	7,491	2,495	Would win
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	12.6° S	39.9° N	Would win

19. 19
    Round 19Won31 countries · 4 lives left

    MoldovavsKenya

    Wealth per person: 17,751 vs 6,322 int’l $ · Higher wins ↑

    Conquered Kenya.

    Other category comparisons 1 other winning choice

    All eight categories for Moldova against Kenya

    Category	Moldova	Kenya	Result
    Areakm² · Higher wins ↑	33,851	580,367	Would lose
    Populationpeople · Higher wins ↑	2,457,783	55,339,003	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	17,751	6,322	Would win
    Densityper km² · Higher wins ↑	72.6	95.4	Would lose
    Highest peakm · Higher wins ↑	430	5,199	Would lose
    Coastlinekm · Higher wins ↑	0	536	Would lose
    Flag colourscolours · Higher wins ↑	9	4	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	47.5° N	0.4° N	Would lose

20. 20
    Round 20Lost30 countries · 3 lives left

    Burkina FasovsGhana

    Flag colours: 3 vs 4 colours · Higher wins ↑

    Returned to the world: Burkina Faso.

    Other category comparisons 1 other winning choice

    All eight categories for Burkina Faso against Ghana

    Category	Burkina Faso	Ghana	Result
    Areakm² · Higher wins ↑	274,200	238,533	Would win
    Populationpeople · Higher wins ↑	23,025,776	33,787,914	Would lose
    Wealth per personint’l $ · Higher wins ↑	2,762	7,563	Would lose
    Densityper km² · Higher wins ↑	84.0	141.6	Would lose
    Highest peakm · Higher wins ↑	749	885	Would lose
    Coastlinekm · Higher wins ↑	0	539	Would lose
    Flag colourscolours · Higher wins ↑ · Chosen	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	12.8° N	7.0° N	Would lose