A little knowledge. An empire of 151.

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

   GhanavsSlovakia

   Density: 141.6 vs 110.7 per km² · Higher wins ↑

   Conquered Slovakia.

   Other category comparisons 5 other winning choices

   All eight categories for Ghana against Slovakia

   Category	Ghana	Slovakia	Result
   Areakm² · Higher wins ↑	238,533	49,035	Would win
   Populationpeople · Higher wins ↑	33,787,914	5,426,740	Would win
   Wealth per personint’l $ · Higher wins ↑	7,563	45,865	Would lose
   Densityper km² · Higher wins ↑ · Chosen	141.6	110.7	Would win
   Highest peakm · Higher wins ↑	885	2,655	Would lose
   Coastlinekm · Higher wins ↑	539	0	Would win
   Flag colourscolours · Higher wins ↑	4	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	7.0° N	48.7° N	Would win

2. 2
   Round 2Won14 countries · 4 lives left

   BoliviavsNorth Korea

   Highest peak: 6,542 vs 2,744 m · Higher wins ↑

   Conquered North Korea.

   Other category comparisons 3 other winning choices

   All eight categories for Bolivia against North Korea

   Category	Bolivia	North Korea	Result
   Areakm² · Higher wins ↑	1,098,581	120,538	Would win
   Populationpeople · Higher wins ↑	12,244,159	26,418,204	Would lose
   Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.	12,903	Unavailable	Unavailable
   Densityper km² · Higher wins ↑	11.1	219.2	Would lose
   Highest peakm · Higher wins ↑ · Chosen	6,542	2,744	Would win
   Coastlinekm · Higher wins ↑	0	2,495	Would lose
   Flag colourscolours · Higher wins ↑	9	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	16.7° S	39.9° N	Would win

3. 3
   Round 3Won15 countries · 4 lives left

   GuyanavsFinland

   Proximity to equator: 2.7° N vs 63.3° N from the equator · Closer wins ↓

   Conquered Finland.

   Other category comparisons 2 other winning choices

   All eight categories for Guyana against Finland

   Category	Guyana	Finland	Result
   Areakm² · Higher wins ↑	214,969	338,145	Would lose
   Populationpeople · Higher wins ↑	826,353	5,583,911	Would lose
   Wealth per personint’l $ · Higher wins ↑	54,774	63,467	Would lose
   Densityper km² · Higher wins ↑	3.8	16.5	Would lose
   Highest peakm · Higher wins ↑	2,775	1,328	Would win
   Coastlinekm · Higher wins ↑	459	1,250	Would lose
   Flag colourscolours · Higher wins ↑	5	2	Would win
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	2.7° N	63.3° N	Would win

4. 4
   Round 4Won16 countries · 4 lives left

   GuatemalavsNepal

   Proximity to equator: 15.0° N vs 29.0° N from the equator · Closer wins ↓

   Conquered Nepal.

   Other category comparisons 3 other winning choices

   All eight categories for Guatemala against Nepal

   Category	Guatemala	Nepal	Result
   Areakm² · Higher wins ↑	108,889	147,181	Would lose
   Populationpeople · Higher wins ↑	18,124,838	29,694,614	Would lose
   Wealth per personint’l $ · Higher wins ↑	13,752	5,400	Would win
   Densityper km² · Higher wins ↑	166.5	201.8	Would lose
   Highest peakm · Higher wins ↑	4,220	8,849	Would lose
   Coastlinekm · Higher wins ↑	400	0	Would win
   Flag colourscolours · Higher wins ↑	9	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	15.0° N	29.0° N	Would win

5. 5
   Round 5Won17 countries · 4 lives left

   AustraliavsAzerbaijan

   Area: 7,741,220 vs 86,600 km² · Higher wins ↑

   Conquered Azerbaijan.

   Other category comparisons 4 other winning choices

   All eight categories for Australia against Azerbaijan

   Category	Australia	Azerbaijan	Result
   Areakm² · Higher wins ↑ · Chosen	7,741,220	86,600	Would win
   Populationpeople · Higher wins ↑	26,659,922	10,153,958	Would win
   Wealth per personint’l $ · Higher wins ↑	72,273	23,671	Would win
   Densityper km² · Higher wins ↑	3.4	117.3	Would lose
   Highest peakm · Higher wins ↑	2,228	4,466	Would lose
   Coastlinekm · Higher wins ↑	25,760	0	Would win
   Flag colourscolours · Higher wins ↑	3	4	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	23.1° S	40.5° N	Would win

6. 6
   Round 6Won18 countries · 4 lives left

   DenmarkvsTimor-Leste

   Wealth per person: 77,425 vs 4,811 int’l $ · Higher wins ↑

   Conquered Timor-Leste.

   Other category comparisons 4 other winning choices

   All eight categories for Denmark against Timor-Leste

   Category	Denmark	Timor-Leste	Result
   Areakm² · Higher wins ↑	43,094	14,874	Would win
   Populationpeople · Higher wins ↑	5,946,952	1,384,286	Would win
   Wealth per personint’l $ · Higher wins ↑ · Chosen	77,425	4,811	Would win
   Densityper km² · Higher wins ↑	138.0	93.1	Would win
   Highest peakm · Higher wins ↑	171	2,963	Would lose
   Coastlinekm · Higher wins ↑	7,314	706	Would win
   Flag colourscolours · Higher wins ↑	2	4	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	55.9° N	8.9° S	Would lose

7. 7
   Round 7Won19 countries · 4 lives left

   JordanvsEgypt

   Density: 128.0 vs 114.4 per km² · Higher wins ↑

   Conquered Egypt.

   Other category comparisons 0 other winning choices

   All eight categories for Jordan against Egypt

   Category	Jordan	Egypt	Result
   Areakm² · Higher wins ↑	89,342	1,001,450	Would lose
   Populationpeople · Higher wins ↑	11,439,213	114,535,772	Would lose
   Wealth per personint’l $ · Higher wins ↑	11,451	18,540	Would lose
   Densityper km² · Higher wins ↑ · Chosen	128.0	114.4	Would win
   Highest peakm · Higher wins ↑	1,854	2,629	Would lose
   Coastlinekm · Higher wins ↑	26	2,450	Would lose
   Flag colourscolours · Higher wins ↑	4	4	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	30.7° N	26.3° N	Would lose

8. 8
   Round 8Won20 countries · 4 lives left

   RwandavsHaiti

   Proximity to equator: 1.8° S vs 19.2° N from the equator · Closer wins ↓

   Conquered Haiti.

   Other category comparisons 4 other winning choices

   All eight categories for Rwanda against Haiti

   Category	Rwanda	Haiti	Result
   Areakm² · Higher wins ↑	26,338	27,750	Would lose
   Populationpeople · Higher wins ↑	13,954,471	11,637,398	Would win
   Wealth per personint’l $ · Higher wins ↑	3,519	3,265	Would win
   Densityper km² · Higher wins ↑	529.8	419.4	Would win
   Highest peakm · Higher wins ↑	4,519	2,674	Would win
   Coastlinekm · Higher wins ↑	0	1,771	Would lose
   Flag colourscolours · Higher wins ↑	3	7	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	1.8° S	19.2° N	Would win

9. 9
   Round 9Won21 countries · 4 lives left

   DR CongovsTrinidad and Tobago

   Population: 105,789,731 vs 1,367,510 people · Higher wins ↑

   Conquered Trinidad and Tobago.

   Other category comparisons 3 other winning choices

   All eight categories for DR Congo against Trinidad and Tobago

   Category	DR Congo	Trinidad and Tobago	Result
   Areakm² · Higher wins ↑	2,344,858	5,128	Would win
   Populationpeople · Higher wins ↑ · Chosen	105,789,731	1,367,510	Would win
   Wealth per personint’l $ · Higher wins ↑	1,732	34,652	Would lose
   Densityper km² · Higher wins ↑	45.1	266.7	Would lose
   Highest peakm · Higher wins ↑	5,110	940	Would win
   Coastlinekm · Higher wins ↑	37	362	Would lose
   Flag colourscolours · Higher wins ↑	3	3	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	1.9° S	10.3° N	Would win

10. 10
    Round 10Won22 countries · 4 lives left

    TogovsLatvia

    Proximity to equator: 8.9° N vs 56.6° N from the equator · Closer wins ↓

    Conquered Latvia.

    Other category comparisons 4 other winning choices

    All eight categories for Togo against Latvia

    Category	Togo	Latvia	Result
    Areakm² · Higher wins ↑	56,785	64,589	Would lose
    Populationpeople · Higher wins ↑	8,223,850	1,883,710	Would win
    Wealth per personint’l $ · Higher wins ↑	3,572	42,784	Would lose
    Densityper km² · Higher wins ↑	144.8	29.2	Would win
    Highest peakm · Higher wins ↑	986	312	Would win
    Coastlinekm · Higher wins ↑	56	498	Would lose
    Flag colourscolours · Higher wins ↑	4	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	8.9° N	56.6° N	Would win

11. 11
    Round 11Won23 countries · 4 lives left

    BhutanvsYemen

    Highest peak: 7,570 vs 3,666 m · Higher wins ↑

    Conquered Yemen.

    Other category comparisons 1 other winning choice

    All eight categories for Bhutan against Yemen

    Category	Bhutan	Yemen	Result
    Areakm² · Higher wins ↑	38,394	527,968	Would lose
    Populationpeople · Higher wins ↑	786,385	39,390,799	Would lose
    Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.	16,229	Unavailable	Unavailable
    Densityper km² · Higher wins ↑	20.5	74.6	Would lose
    Highest peakm · Higher wins ↑ · Chosen	7,570	3,666	Would win
    Coastlinekm · Higher wins ↑	0	1,906	Would lose
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	27.5° N	15.3° N	Would lose

12. 12
    Round 12Won24 countries · 4 lives left

    IcelandvsSyria

    Coastline: 4,970 vs 193 km · Higher wins ↑

    Conquered Syria.

    Other category comparisons 0 other winning choices

    All eight categories for Iceland against Syria

    Category	Iceland	Syria	Result
    Areakm² · Higher wins ↑	103,000	187,437	Would lose
    Populationpeople · Higher wins ↑	385,663	23,594,623	Would lose
    Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.	82,257	Unavailable	Unavailable
    Densityper km² · Higher wins ↑	3.7	125.9	Would lose
    Highest peakm · Higher wins ↑	2,110	2,814	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	4,970	193	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	64.7° N	35.0° N	Would lose

13. 13
    Round 13Won25 countries · 4 lives left

    GhanavsUganda

    Coastline: 539 vs 0 km · Higher wins ↑

    Conquered Uganda.

    Other category comparisons 1 other winning choice

    All eight categories for Ghana against Uganda

    Category	Ghana	Uganda	Result
    Areakm² · Higher wins ↑	238,533	241,038	Would lose
    Populationpeople · Higher wins ↑	33,787,914	48,656,601	Would lose
    Wealth per personint’l $ · Higher wins ↑	7,563	3,100	Would win
    Densityper km² · Higher wins ↑	141.6	201.9	Would lose
    Highest peakm · Higher wins ↑	885	5,110	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	539	0	Would win
    Flag colourscolours · Higher wins ↑	4	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	7.0° N	2.0° N	Would lose

14. 14
    Round 14Won26 countries · 4 lives left

    SlovakiavsNorway

    Proximity to equator: 48.7° N vs 61.5° N from the equator · Closer wins ↓

    Conquered Norway.

    Other category comparisons 2 other winning choices

    All eight categories for Slovakia against Norway

    Category	Slovakia	Norway	Result
    Areakm² · Higher wins ↑	49,035	323,802	Would lose
    Populationpeople · Higher wins ↑	5,426,740	5,519,601	Would lose
    Wealth per personint’l $ · Higher wins ↑	45,865	107,768	Would lose
    Densityper km² · Higher wins ↑	110.7	17.0	Would win
    Highest peakm · Higher wins ↑	2,655	2,469	Would win
    Coastlinekm · Higher wins ↑	0	25,148	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	48.7° N	61.5° N	Would win

15. 15
    Round 15Won27 countries · 4 lives left

    BoliviavsEritrea

    Highest peak: 6,542 vs 3,018 m · Higher wins ↑

    Conquered Eritrea.

    Other category comparisons 3 other winning choices

    All eight categories for Bolivia against Eritrea

    Category	Bolivia	Eritrea	Result
    Areakm² · Higher wins ↑	1,098,581	117,600	Would win
    Populationpeople · Higher wins ↑	12,244,159	3,470,390	Would win
    Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.	12,903	Unavailable	Unavailable
    Densityper km² · Higher wins ↑	11.1	29.5	Would lose
    Highest peakm · Higher wins ↑ · Chosen	6,542	3,018	Would win
    Coastlinekm · Higher wins ↑	0	2,234	Would lose
    Flag colourscolours · Higher wins ↑	9	4	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	16.7° S	16.0° N	Would lose

16. 16
    Round 16Won28 countries · 4 lives left

    North KoreavsMali

    Density: 219.2 vs 19.2 per km² · Higher wins ↑

    Conquered Mali.

    Other category comparisons 3 other winning choices

    All eight categories for North Korea against Mali

    Category	North Korea	Mali	Result
    Areakm² · Higher wins ↑	120,538	1,240,192	Would lose
    Populationpeople · Higher wins ↑	26,418,204	23,769,127	Would win
    Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.	Unavailable	3,178	Unavailable
    Densityper km² · Higher wins ↑ · Chosen	219.2	19.2	Would win
    Highest peakm · Higher wins ↑	2,744	1,155	Would win
    Coastlinekm · Higher wins ↑	2,495	0	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	39.9° N	18.6° N	Would lose

17. 17
    Round 17Won29 countries · 4 lives left

    GuyanavsSouth Africa

    Proximity to equator: 2.7° N vs 30.2° S from the equator · Closer wins ↓

    Conquered South Africa.

    Other category comparisons 1 other winning choice

    All eight categories for Guyana against South Africa

    Category	Guyana	South Africa	Result
    Areakm² · Higher wins ↑	214,969	1,219,090	Would lose
    Populationpeople · Higher wins ↑	826,353	63,212,384	Would lose
    Wealth per personint’l $ · Higher wins ↑	54,774	15,212	Would win
    Densityper km² · Higher wins ↑	3.8	51.9	Would lose
    Highest peakm · Higher wins ↑	2,775	3,450	Would lose
    Coastlinekm · Higher wins ↑	459	2,798	Would lose
    Flag colourscolours · Higher wins ↑	5	6	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	2.7° N	30.2° S	Would win

18. 18
    Round 18Won30 countries · 4 lives left

    FinlandvsComoros

    Area: 338,145 vs 2,235 km² · Higher wins ↑

    Conquered Comoros.

    Other category comparisons 3 other winning choices

    All eight categories for Finland against Comoros

    Category	Finland	Comoros	Result
    Areakm² · Higher wins ↑ · Chosen	338,145	2,235	Would win
    Populationpeople · Higher wins ↑	5,583,911	850,387	Would win
    Wealth per personint’l $ · Higher wins ↑	63,467	3,897	Would win
    Densityper km² · Higher wins ↑	16.5	380.5	Would lose
    Highest peakm · Higher wins ↑	1,328	2,360	Would lose
    Coastlinekm · Higher wins ↑	1,250	340	Would win
    Flag colourscolours · Higher wins ↑	2	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	63.3° N	11.7° S	Would lose

19. 19
    Round 19Won31 countries · 4 lives left

    GuatemalavsBelarus

    Density: 166.5 vs 44.2 per km² · Higher wins ↑

    Conquered Belarus.

    Other category comparisons 5 other winning choices

    All eight categories for Guatemala against Belarus

    Category	Guatemala	Belarus	Result
    Areakm² · Higher wins ↑	108,889	207,600	Would lose
    Populationpeople · Higher wins ↑	18,124,838	9,178,298	Would win
    Wealth per personint’l $ · Higher wins ↑	13,752	30,860	Would lose
    Densityper km² · Higher wins ↑ · Chosen	166.5	44.2	Would win
    Highest peakm · Higher wins ↑	4,220	346	Would win
    Coastlinekm · Higher wins ↑	400	0	Would win
    Flag colourscolours · Higher wins ↑	9	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	15.0° N	53.8° N	Would win

20. 20
    Round 20Won32 countries · 4 lives left

    NepalvsSuriname

    Highest peak: 8,849 vs 1,230 m · Higher wins ↑

    Conquered Suriname.

    Other category comparisons 2 other winning choices

    All eight categories for Nepal against Suriname

    Category	Nepal	Suriname	Result
    Areakm² · Higher wins ↑	147,181	163,820	Would lose
    Populationpeople · Higher wins ↑	29,694,614	628,886	Would win
    Wealth per personint’l $ · Higher wins ↑	5,400	21,128	Would lose
    Densityper km² · Higher wins ↑	201.8	3.8	Would win
    Highest peakm · Higher wins ↑ · Chosen	8,849	1,230	Would win
    Coastlinekm · Higher wins ↑	0	386	Would lose
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	29.0° N	4.1° N	Would lose