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 21Won33 countries · 4 lives left

    SingaporevsMyanmar

    Density: 8,230.4 vs 80.0 per km² · Higher wins ↑

    Conquered Myanmar.

    Other category comparisons 2 other winning choices

    All eight categories for Singapore against Myanmar

    Category	Singapore	Myanmar	Result
    Areakm² · Higher wins ↑	719	676,578	Would lose
    Populationpeople · Higher wins ↑	5,917,648	54,133,798	Would lose
    Wealth per personint’l $ · Higher wins ↑	144,728	5,958	Would win
    Densityper km² · Higher wins ↑ · Chosen	8,230.4	80.0	Would win
    Highest peakm · Higher wins ↑	166	5,870	Would lose
    Coastlinekm · Higher wins ↑	193	1,930	Would lose
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	1.4° N	21.6° N	Would win

22. 22
    Round 22Won34 countries · 4 lives left

    Equatorial GuineavsUnited Kingdom

    Proximity to equator: 1.6° N vs 52.5° N from the equator · Closer wins ↓

    Conquered United Kingdom.

    Other category comparisons 2 other winning choices

    All eight categories for Equatorial Guinea against United Kingdom

    Category	Equatorial Guinea	United Kingdom	Result
    Areakm² · Higher wins ↑	28,051	243,610	Would lose
    Populationpeople · Higher wins ↑	1,847,549	68,526,000	Would lose
    Wealth per personint’l $ · Higher wins ↑	16,997	60,787	Would lose
    Densityper km² · Higher wins ↑	65.9	281.3	Would lose
    Highest peakm · Higher wins ↑	3,008	1,345	Would win
    Coastlinekm · Higher wins ↑	296	12,429	Would lose
    Flag colourscolours · Higher wins ↑	8	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	1.6° N	52.5° N	Would win

23. 23
    Round 23Won35 countries · 4 lives left

    BahrainvsEthiopia

    Wealth per person: 64,224 vs 3,063 int’l $ · Higher wins ↑

    Conquered Ethiopia.

    Other category comparisons 2 other winning choices

    All eight categories for Bahrain against Ethiopia

    Category	Bahrain	Ethiopia	Result
    Areakm² · Higher wins ↑	760	1,104,300	Would lose
    Populationpeople · Higher wins ↑	1,577,059	128,691,692	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	64,224	3,063	Would win
    Densityper km² · Higher wins ↑	2,075.1	116.5	Would win
    Highest peakm · Higher wins ↑	135	4,550	Would lose
    Coastlinekm · Higher wins ↑	161	0	Would win
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	26.0° N	8.5° N	Would lose

24. 24
    Round 24Won36 countries · 4 lives left

    UgandavsLebanon

    Population: 48,656,601 vs 5,773,493 people · Higher wins ↑

    Conquered Lebanon.

    Other category comparisons 4 other winning choices

    All eight categories for Uganda against Lebanon

    Category	Uganda	Lebanon	Result
    Areakm² · Higher wins ↑	241,038	10,400	Would win
    Populationpeople · Higher wins ↑ · Chosen	48,656,601	5,773,493	Would win
    Wealth per personint’l $ · Higher wins ↑	3,100	12,585	Would lose
    Densityper km² · Higher wins ↑	201.9	555.1	Would lose
    Highest peakm · Higher wins ↑	5,110	3,088	Would win
    Coastlinekm · Higher wins ↑	0	225	Would lose
    Flag colourscolours · Higher wins ↑	5	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	2.0° N	34.2° N	Would win

25. 25
    Round 25Won37 countries · 4 lives left

    Bosnia and HerzegovinavsAlgeria

    Wealth per person: 23,376 vs 16,838 int’l $ · Higher wins ↑

    Conquered Algeria.

    Other category comparisons 1 other winning choice

    All eight categories for Bosnia and Herzegovina against Algeria

    Category	Bosnia and Herzegovina	Algeria	Result
    Areakm² · Higher wins ↑	51,197	2,381,740	Would lose
    Populationpeople · Higher wins ↑	3,185,073	46,164,219	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	23,376	16,838	Would win
    Densityper km² · Higher wins ↑	62.2	19.4	Would win
    Highest peakm · Higher wins ↑	2,386	2,908	Would lose
    Coastlinekm · Higher wins ↑	20	998	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	44.1° N	27.4° N	Would lose

26. 26
    Round 26Won38 countries · 4 lives left

    VietnamvsGabon

    Population: 100,352,192 vs 2,484,789 people · Higher wins ↑

    Conquered Gabon.

    Other category comparisons 4 other winning choices

    All eight categories for Vietnam against Gabon

    Category	Vietnam	Gabon	Result
    Areakm² · Higher wins ↑	331,210	267,667	Would win
    Populationpeople · Higher wins ↑ · Chosen	100,352,192	2,484,789	Would win
    Wealth per personint’l $ · Higher wins ↑	15,034	20,773	Would lose
    Densityper km² · Higher wins ↑	303.0	9.3	Would win
    Highest peakm · Higher wins ↑	3,144	1,050	Would win
    Coastlinekm · Higher wins ↑	3,444	885	Would win
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	21.7° N	0.6° S	Would lose

27. 27
    Round 27Won39 countries · 4 lives left

    SlovakiavsHonduras

    Wealth per person: 45,865 vs 7,184 int’l $ · Higher wins ↑

    Conquered Honduras.

    Other category comparisons 2 other winning choices

    All eight categories for Slovakia against Honduras

    Category	Slovakia	Honduras	Result
    Areakm² · Higher wins ↑	49,035	112,090	Would lose
    Populationpeople · Higher wins ↑	5,426,740	10,644,851	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	45,865	7,184	Would win
    Densityper km² · Higher wins ↑	110.7	95.0	Would win
    Highest peakm · Higher wins ↑	2,655	2,870	Would lose
    Coastlinekm · Higher wins ↑	0	823	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	48.7° N	14.7° N	Would lose

28. 28
    Round 28Won40 countries · 4 lives left

    MalawivsCentral African Republic

    Population: 21,104,482 vs 5,152,421 people · Higher wins ↑

    Conquered Central African Republic.

    Other category comparisons 3 other winning choices

    All eight categories for Malawi against Central African Republic

    Category	Malawi	Central African Republic	Result
    Areakm² · Higher wins ↑	118,484	622,984	Would lose
    Populationpeople · Higher wins ↑ · Chosen	21,104,482	5,152,421	Would win
    Wealth per personint’l $ · Higher wins ↑	1,832	1,258	Would win
    Densityper km² · Higher wins ↑	178.1	8.3	Would win
    Highest peakm · Higher wins ↑	3,002	1,410	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	3	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	13.4° S	7.0° N	Would lose

29. 29
    Round 29Won41 countries · 4 lives left

    SwitzerlandvsUnited States

    Wealth per person: 93,940 vs 82,587 int’l $ · Higher wins ↑

    Conquered United States.

    Other category comparisons 1 other winning choice

    All eight categories for Switzerland against United States

    Category	Switzerland	United States	Result
    Areakm² · Higher wins ↑	41,277	9,833,517	Would lose
    Populationpeople · Higher wins ↑	8,888,822	336,755,052	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	93,940	82,587	Would win
    Densityper km² · Higher wins ↑	215.3	34.2	Would win
    Highest peakm · Higher wins ↑	4,634	6,190	Would lose
    Coastlinekm · Higher wins ↑	0	19,924	Would lose
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	46.7° N	39.1° N	Would lose

30. 30
    Round 30Won42 countries · 4 lives left

    BotswanavsMoldova

    Area: 581,730 vs 33,851 km² · Higher wins ↑

    Conquered Moldova.

    Other category comparisons 4 other winning choices

    All eight categories for Botswana against Moldova

    Category	Botswana	Moldova	Result
    Areakm² · Higher wins ↑ · Chosen	581,730	33,851	Would win
    Populationpeople · Higher wins ↑	2,480,244	2,457,783	Would win
    Wealth per personint’l $ · Higher wins ↑	21,029	17,751	Would win
    Densityper km² · Higher wins ↑	4.3	72.6	Would lose
    Highest peakm · Higher wins ↑	1,495	430	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	3	9	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	22.1° S	47.5° N	Would win

31. 31
    Round 31Won43 countries · 4 lives left

    KenyavsColombia

    Flag colours: 4 vs 3 colours · Higher wins ↑

    Conquered Colombia.

    Other category comparisons 3 other winning choices

    All eight categories for Kenya against Colombia

    Category	Kenya	Colombia	Result
    Areakm² · Higher wins ↑	580,367	1,138,910	Would lose
    Populationpeople · Higher wins ↑	55,339,003	52,321,152	Would win
    Wealth per personint’l $ · Higher wins ↑	6,322	21,282	Would lose
    Densityper km² · Higher wins ↑	95.4	45.9	Would win
    Highest peakm · Higher wins ↑	5,199	5,730	Would lose
    Coastlinekm · Higher wins ↑	536	3,208	Would lose
    Flag colourscolours · Higher wins ↑ · Chosen	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	0.4° N	3.4° N	Would win

32. 32
    Round 32Lost42 countries · 3 lives left

    JamaicavsIndonesia

    Wealth per person: 12,661 vs 15,428 int’l $ · Higher wins ↑

    Returned to the world: Jamaica.

    Other category comparisons 2 other winning choices

    All eight categories for Jamaica against Indonesia

    Category	Jamaica	Indonesia	Result
    Areakm² · Higher wins ↑	10,991	1,904,569	Would lose
    Populationpeople · Higher wins ↑	2,839,786	281,190,067	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	12,661	15,428	Would lose
    Densityper km² · Higher wins ↑	258.4	147.6	Would win
    Highest peakm · Higher wins ↑	2,256	4,884	Would lose
    Coastlinekm · Higher wins ↑	1,022	54,716	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	18.1° N	1.0° S	Would lose