A little knowledge. An empire of 42.

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. 21
    Round 21Won31 countries · 3 lives left

    Solomon IslandsvsBurundi

    Coastline: 5,313 vs 0 km · Higher wins ↑

    Conquered Burundi.

    Other category comparisons 3 other winning choices

    All eight categories for Solomon Islands against Burundi

    Category	Solomon Islands	Burundi	Result
    Areakm² · Higher wins ↑	28,896	27,830	Would win
    Populationpeople · Higher wins ↑	800,005	13,689,450	Would lose
    Wealth per personint’l $ · Higher wins ↑	2,599	1,147	Would win
    Densityper km² · Higher wins ↑	27.7	491.9	Would lose
    Highest peakm · Higher wins ↑	2,335	2,685	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	5,313	0	Would win
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	9.6° S	3.4° S	Would lose

22. 22
    Round 22Won32 countries · 3 lives left

    Sierra LeonevsMorocco

    Proximity to equator: 8.7° N vs 31.9° N from the equator · Closer wins ↓

    Conquered Morocco.

    Other category comparisons 2 other winning choices

    All eight categories for Sierra Leone against Morocco

    Category	Sierra Leone	Morocco	Result
    Areakm² · Higher wins ↑	71,740	446,550	Would lose
    Populationpeople · Higher wins ↑	8,460,512	37,712,505	Would lose
    Wealth per personint’l $ · Higher wins ↑	3,371	9,903	Would lose
    Densityper km² · Higher wins ↑	117.9	84.5	Would win
    Highest peakm · Higher wins ↑	1,948	4,165	Would lose
    Coastlinekm · Higher wins ↑	402	1,835	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	8.7° N	31.9° N	Would win

23. 23
    Round 23Won33 countries · 3 lives left

    NepalvsMyanmar

    Highest peak: 8,849 vs 5,870 m · Higher wins ↑

    Conquered Myanmar.

    Other category comparisons 1 other winning choice

    All eight categories for Nepal against Myanmar

    Category	Nepal	Myanmar	Result
    Areakm² · Higher wins ↑	147,181	676,578	Would lose
    Populationpeople · Higher wins ↑	29,694,614	54,133,798	Would lose
    Wealth per personint’l $ · Higher wins ↑	5,400	5,958	Would lose
    Densityper km² · Higher wins ↑	201.8	80.0	Would win
    Highest peakm · Higher wins ↑ · Chosen	8,849	5,870	Would win
    Coastlinekm · Higher wins ↑	0	1,930	Would lose
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	29.0° N	21.6° N	Would lose

24. 24
    Round 24Won34 countries · 3 lives left

    CzechiavsLesotho

    Wealth per person: 56,062 vs 2,880 int’l $ · Higher wins ↑

    Conquered Lesotho.

    Other category comparisons 3 other winning choices

    All eight categories for Czechia against Lesotho

    Category	Czechia	Lesotho	Result
    Areakm² · Higher wins ↑	78,867	30,355	Would win
    Populationpeople · Higher wins ↑	10,864,042	2,311,472	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	56,062	2,880	Would win
    Densityper km² · Higher wins ↑	137.8	76.1	Would win
    Highest peakm · Higher wins ↑	1,602	3,482	Would lose
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	49.8° N	29.4° S	Would lose

25. 25
    Round 25Won35 countries · 3 lives left

    United StatesvsLiberia

    Population: 336,755,052 vs 5,493,031 people · Higher wins ↑

    Conquered Liberia.

    Other category comparisons 4 other winning choices

    All eight categories for United States against Liberia

    Category	United States	Liberia	Result
    Areakm² · Higher wins ↑	9,833,517	111,369	Would win
    Populationpeople · Higher wins ↑ · Chosen	336,755,052	5,493,031	Would win
    Wealth per personint’l $ · Higher wins ↑	82,587	1,796	Would win
    Densityper km² · Higher wins ↑	34.2	49.3	Would lose
    Highest peakm · Higher wins ↑	6,190	1,447	Would win
    Coastlinekm · Higher wins ↑	19,924	579	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	39.1° N	7.0° N	Would lose

26. 26
    Round 26Won36 countries · 3 lives left

    GambiavsSouth Sudan

    Density: 238.7 vs 17.8 per km² · Higher wins ↑

    Conquered South Sudan.

    Other category comparisons 1 other winning choice

    All eight categories for Gambia against South Sudan

    Category	Gambia	South Sudan	Result
    Areakm² · Higher wins ↑	11,300	644,329	Would lose
    Populationpeople · Higher wins ↑	2,697,845	11,483,374	Would lose
    Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.	3,292	Unavailable	Unavailable
    Densityper km² · Higher wins ↑ · Chosen	238.7	17.8	Would win
    Highest peakm · Higher wins ↑	63	3,187	Would lose
    Coastlinekm · Higher wins ↑	80	0	Would win
    Flag colourscolours · Higher wins ↑	4	6	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	13.6° N	7.1° N	Would lose

27. 27
    Round 27Won37 countries · 3 lives left

    KazakhstanvsGuyana

    Area: 2,724,900 vs 214,969 km² · Higher wins ↑

    Conquered Guyana.

    Other category comparisons 3 other winning choices

    All eight categories for Kazakhstan against Guyana

    Category	Kazakhstan	Guyana	Result
    Areakm² · Higher wins ↑ · Chosen	2,724,900	214,969	Would win
    Populationpeople · Higher wins ↑	20,330,104	826,353	Would win
    Wealth per personint’l $ · Higher wins ↑	38,547	54,774	Would lose
    Densityper km² · Higher wins ↑	7.5	3.8	Would win
    Highest peakm · Higher wins ↑	7,010	2,775	Would win
    Coastlinekm · Higher wins ↑	0	459	Would lose
    Flag colourscolours · Higher wins ↑	2	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	48.5° N	2.7° N	Would lose

28. 28
    Round 28Won38 countries · 3 lives left

    CyprusvsIndia

    Wealth per person: 59,875 vs 9,853 int’l $ · Higher wins ↑

    Conquered India.

    Other category comparisons 0 other winning choices

    All eight categories for Cyprus against India

    Category	Cyprus	India	Result
    Areakm² · Higher wins ↑	9,251	3,287,263	Would lose
    Populationpeople · Higher wins ↑	1,344,976	1,438,069,596	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	59,875	9,853	Would win
    Densityper km² · Higher wins ↑	145.4	437.5	Would lose
    Highest peakm · Higher wins ↑	1,951	8,586	Would lose
    Coastlinekm · Higher wins ↑	648	7,000	Would lose
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	34.9° N	22.4° N	Would lose

29. 29
    Round 29Won39 countries · 3 lives left

    BahrainvsMontenegro

    Wealth per person: 64,224 vs 31,863 int’l $ · Higher wins ↑

    Conquered Montenegro.

    Other category comparisons 3 other winning choices

    All eight categories for Bahrain against Montenegro

    Category	Bahrain	Montenegro	Result
    Areakm² · Higher wins ↑	760	13,812	Would lose
    Populationpeople · Higher wins ↑	1,577,059	623,529	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	64,224	31,863	Would win
    Densityper km² · Higher wins ↑	2,075.1	45.1	Would win
    Highest peakm · Higher wins ↑	135	2,534	Would lose
    Coastlinekm · Higher wins ↑	161	293.5	Would lose
    Flag colourscolours · Higher wins ↑	2	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	26.0° N	42.8° N	Would win

30. 30
    Round 30Won40 countries · 3 lives left

    BeninvsGabon

    Density: 125.3 vs 9.3 per km² · Higher wins ↑

    Conquered Gabon.

    Other category comparisons 1 other winning choice

    All eight categories for Benin against Gabon

    Category	Benin	Gabon	Result
    Areakm² · Higher wins ↑	112,622	267,667	Would lose
    Populationpeople · Higher wins ↑	14,111,034	2,484,789	Would win
    Wealth per personint’l $ · Higher wins ↑	4,133	20,773	Would lose
    Densityper km² · Higher wins ↑ · Chosen	125.3	9.3	Would win
    Highest peakm · Higher wins ↑	675	1,050	Would lose
    Coastlinekm · Higher wins ↑	121	885	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	10.4° N	0.6° S	Would lose

31. 31
    Round 31Won41 countries · 3 lives left

    HungaryvsGuinea

    Wealth per person: 46,376 vs 4,337 int’l $ · Higher wins ↑

    Conquered Guinea.

    Other category comparisons 1 other winning choice

    All eight categories for Hungary against Guinea

    Category	Hungary	Guinea	Result
    Areakm² · Higher wins ↑	93,028	245,857	Would lose
    Populationpeople · Higher wins ↑	9,592,186	14,405,468	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	46,376	4,337	Would win
    Densityper km² · Higher wins ↑	103.1	58.6	Would win
    Highest peakm · Higher wins ↑	1,014	1,752	Would lose
    Coastlinekm · Higher wins ↑	0	320	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	47.3° N	10.7° N	Would lose

32. 32
    Round 32Won42 countries · 3 lives left

    TürkiyevsBelize

    Population: 85,325,965 vs 411,106 people · Higher wins ↑

    Conquered Belize.

    Other category comparisons 5 other winning choices

    All eight categories for Türkiye against Belize

    Category	Türkiye	Belize	Result
    Areakm² · Higher wins ↑	783,562	22,966	Would win
    Populationpeople · Higher wins ↑ · Chosen	85,325,965	411,106	Would win
    Wealth per personint’l $ · Higher wins ↑	43,196	13,741	Would win
    Densityper km² · Higher wins ↑	108.9	17.9	Would win
    Highest peakm · Higher wins ↑	5,137	1,124	Would win
    Coastlinekm · Higher wins ↑	7,200	386	Would win
    Flag colourscolours · Higher wins ↑	2	12	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	39.1° N	17.0° N	Would lose

33. 33
    Round 33Won43 countries · 3 lives left

    MalawivsChile

    Proximity to equator: 13.4° S vs 23.4° S from the equator · Closer wins ↓

    Conquered Chile.

    Other category comparisons 2 other winning choices

    All eight categories for Malawi against Chile

    Category	Malawi	Chile	Result
    Areakm² · Higher wins ↑	118,484	756,102	Would lose
    Populationpeople · Higher wins ↑	21,104,482	19,658,835	Would win
    Wealth per personint’l $ · Higher wins ↑	1,832	33,174	Would lose
    Densityper km² · Higher wins ↑	178.1	26.0	Would win
    Highest peakm · Higher wins ↑	3,002	6,893	Would lose
    Coastlinekm · Higher wins ↑	0	6,435	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	13.4° S	23.4° S	Would win

34. 34
    Round 34Lost42 countries · 2 lives left

    MaltavsLuxembourg

    Area: 316 vs 2,586 km² · Higher wins ↑

    Returned to the world: Malta.

    Other category comparisons 3 other winning choices

    All eight categories for Malta against Luxembourg

    Category	Malta	Luxembourg	Result
    Areakm² · Higher wins ↑ · Chosen	316	2,586	Would lose
    Populationpeople · Higher wins ↑	552,747	666,430	Would lose
    Wealth per personint’l $ · Higher wins ↑	67,101	152,596	Would lose
    Densityper km² · Higher wins ↑	1,749.2	257.7	Would win
    Highest peakm · Higher wins ↑	253	559	Would lose
    Coastlinekm · Higher wins ↑	196.8	0	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	35.9° N	49.7° N	Would win