A little knowledge. An empire of 36.

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

    MalawivsLithuania

    Proximity to equator: 13.4° S vs 55.1° N from the equator · Closer wins ↓

    Conquered Lithuania.

    Other category comparisons 4 other winning choices

    All eight categories for Malawi against Lithuania

    Category	Malawi	Lithuania	Result
    Areakm² · Higher wins ↑	118,484	65,300	Would win
    Populationpeople · Higher wins ↑	21,104,482	2,871,585	Would win
    Wealth per personint’l $ · Higher wins ↑	1,832	52,720	Would lose
    Densityper km² · Higher wins ↑	178.1	44.0	Would win
    Highest peakm · Higher wins ↑	3,002	294	Would win
    Coastlinekm · Higher wins ↑	0	90	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	13.4° S	55.1° N	Would win

22. 22
    Round 22Won32 countries · 3 lives left

    SlovakiavsAlbania

    Wealth per person: 45,865 vs 24,848 int’l $ · Higher wins ↑

    Conquered Albania.

    Other category comparisons 4 other winning choices

    All eight categories for Slovakia against Albania

    Category	Slovakia	Albania	Result
    Areakm² · Higher wins ↑	49,035	28,748	Would win
    Populationpeople · Higher wins ↑	5,426,740	2,411,658	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	45,865	24,848	Would win
    Densityper km² · Higher wins ↑	110.7	83.9	Would win
    Highest peakm · Higher wins ↑	2,655	2,764	Would lose
    Coastlinekm · Higher wins ↑	0	362	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	48.7° N	40.7° N	Would lose

23. 23
    Round 23Won33 countries · 3 lives left

    VietnamvsPapua New Guinea

    Population: 100,352,192 vs 10,389,635 people · Higher wins ↑

    Conquered Papua New Guinea.

    Other category comparisons 2 other winning choices

    All eight categories for Vietnam against Papua New Guinea

    Category	Vietnam	Papua New Guinea	Result
    Areakm² · Higher wins ↑	331,210	462,840	Would lose
    Populationpeople · Higher wins ↑ · Chosen	100,352,192	10,389,635	Would win
    Wealth per personint’l $ · Higher wins ↑	15,034	4,672	Would win
    Densityper km² · Higher wins ↑	303.0	22.4	Would win
    Highest peakm · Higher wins ↑	3,144	4,509	Would lose
    Coastlinekm · Higher wins ↑	3,444	5,152	Would lose
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	21.7° N	5.5° S	Would lose

24. 24
    Round 24Won34 countries · 3 lives left

    ChadvsSweden

    Population: 19,319,064 vs 10,536,632 people · Higher wins ↑

    Conquered Sweden.

    Other category comparisons 4 other winning choices

    All eight categories for Chad against Sweden

    Category	Chad	Sweden	Result
    Areakm² · Higher wins ↑	1,284,000	450,295	Would win
    Populationpeople · Higher wins ↑ · Chosen	19,319,064	10,536,632	Would win
    Wealth per personint’l $ · Higher wins ↑	2,703	68,458	Would lose
    Densityper km² · Higher wins ↑	15.0	23.4	Would lose
    Highest peakm · Higher wins ↑	3,445	2,100	Would win
    Coastlinekm · Higher wins ↑	0	3,218	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	17.3° N	65.8° N	Would win

25. 25
    Round 25Won35 countries · 3 lives left

    United KingdomvsGuyana

    Coastline: 12,429 vs 459 km · Higher wins ↑

    Conquered Guyana.

    Other category comparisons 4 other winning choices

    All eight categories for United Kingdom against Guyana

    Category	United Kingdom	Guyana	Result
    Areakm² · Higher wins ↑	243,610	214,969	Would win
    Populationpeople · Higher wins ↑	68,526,000	826,353	Would win
    Wealth per personint’l $ · Higher wins ↑	60,787	54,774	Would win
    Densityper km² · Higher wins ↑	281.3	3.8	Would win
    Highest peakm · Higher wins ↑	1,345	2,775	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	12,429	459	Would win
    Flag colourscolours · Higher wins ↑	3	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	52.5° N	2.7° N	Would lose

26. 26
    Round 26Won36 countries · 3 lives left

    SurinamevsSyria

    Proximity to equator: 4.1° N vs 35.0° N from the equator · Closer wins ↓

    Conquered Syria.

    Other category comparisons 1 other winning choice

    All eight categories for Suriname against Syria

    Category	Suriname	Syria	Result
    Areakm² · Higher wins ↑	163,820	187,437	Would lose
    Populationpeople · Higher wins ↑	628,886	23,594,623	Would lose
    Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.	21,128	Unavailable	Unavailable
    Densityper km² · Higher wins ↑	3.8	125.9	Would lose
    Highest peakm · Higher wins ↑	1,230	2,814	Would lose
    Coastlinekm · Higher wins ↑	386	193	Would win
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	4.1° N	35.0° N	Would win

27. 27
    Round 27Won37 countries · 3 lives left

    GuineavsLiberia

    Density: 58.6 vs 49.3 per km² · Higher wins ↑

    Conquered Liberia.

    Other category comparisons 4 other winning choices

    All eight categories for Guinea against Liberia

    Category	Guinea	Liberia	Result
    Areakm² · Higher wins ↑	245,857	111,369	Would win
    Populationpeople · Higher wins ↑	14,405,468	5,493,031	Would win
    Wealth per personint’l $ · Higher wins ↑	4,337	1,796	Would win
    Densityper km² · Higher wins ↑ · Chosen	58.6	49.3	Would win
    Highest peakm · Higher wins ↑	1,752	1,447	Would win
    Coastlinekm · Higher wins ↑	320	579	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	10.7° N	7.0° N	Would lose

28. 28
    Round 28Lost36 countries · 2 lives left

    AustriavsFrance

    Highest peak: 3,798 vs 4,810 m · Higher wins ↑

    Returned to the world: Austria.

    Other category comparisons 1 other winning choice

    All eight categories for Austria against France

    Category	Austria	France	Result
    Areakm² · Higher wins ↑	83,871	551,500	Would lose
    Populationpeople · Higher wins ↑	9,131,761	65,925,961	Would lose
    Wealth per personint’l $ · Higher wins ↑	74,261	60,927	Would win
    Densityper km² · Higher wins ↑	108.9	119.5	Would lose
    Highest peakm · Higher wins ↑ · Chosen	3,798	4,810	Would lose
    Coastlinekm · Higher wins ↑	0	3,427	Would lose
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	47.7° N	46.7° N	Would lose

29. 29
    Round 29Won37 countries · 2 lives left

    PeruvsGambia

    Highest peak: 6,746 vs 63 m · Higher wins ↑

    Conquered Gambia.

    Other category comparisons 5 other winning choices

    All eight categories for Peru against Gambia

    Category	Peru	Gambia	Result
    Areakm² · Higher wins ↑	1,285,216	11,300	Would win
    Populationpeople · Higher wins ↑	33,845,617	2,697,845	Would win
    Wealth per personint’l $ · Higher wins ↑	17,042	3,292	Would win
    Densityper km² · Higher wins ↑	26.3	238.7	Would lose
    Highest peakm · Higher wins ↑ · Chosen	6,746	63	Would win
    Coastlinekm · Higher wins ↑	2,414	80	Would win
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	13.0° S	13.6° N	Would win

30. 30
    Round 30Won38 countries · 2 lives left

    Trinidad and TobagovsTunisia

    Density: 266.7 vs 74.6 per km² · Higher wins ↑

    Conquered Tunisia.

    Other category comparisons 3 other winning choices

    All eight categories for Trinidad and Tobago against Tunisia

    Category	Trinidad and Tobago	Tunisia	Result
    Areakm² · Higher wins ↑	5,128	163,610	Would lose
    Populationpeople · Higher wins ↑	1,367,510	12,200,431	Would lose
    Wealth per personint’l $ · Higher wins ↑	34,652	14,052	Would win
    Densityper km² · Higher wins ↑ · Chosen	266.7	74.6	Would win
    Highest peakm · Higher wins ↑	940	1,544	Would lose
    Coastlinekm · Higher wins ↑	362	1,148	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	10.3° N	35.3° N	Would win

31. 31
    Round 31Lost37 countries · 1 life left

    BhutanvsKyrgyzstan

    Density: 20.5 vs 35.5 per km² · Higher wins ↑

    Returned to the world: Bhutan.

    Other category comparisons 4 other winning choices

    All eight categories for Bhutan against Kyrgyzstan

    Category	Bhutan	Kyrgyzstan	Result
    Areakm² · Higher wins ↑	38,394	199,951	Would lose
    Populationpeople · Higher wins ↑	786,385	7,099,750	Would lose
    Wealth per personint’l $ · Higher wins ↑	16,229	7,304	Would win
    Densityper km² · Higher wins ↑ · Chosen	20.5	35.5	Would lose
    Highest peakm · Higher wins ↑	7,570	7,439	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	4	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	27.5° N	41.7° N	Would win

32. 32
    Round 32Lost36 countries · 0 lives left

    ComorosvsNicaragua

    Coastline: 340 vs 910 km · Higher wins ↑

    Returned to the world: Comoros.

    Other category comparisons 3 other winning choices

    All eight categories for Comoros against Nicaragua

    Category	Comoros	Nicaragua	Result
    Areakm² · Higher wins ↑	2,235	130,370	Would lose
    Populationpeople · Higher wins ↑	850,387	6,823,613	Would lose
    Wealth per personint’l $ · Higher wins ↑	3,897	8,327	Would lose
    Densityper km² · Higher wins ↑	380.5	52.3	Would win
    Highest peakm · Higher wins ↑	2,360	2,085	Would win
    Coastlinekm · Higher wins ↑ · Chosen	340	910	Would lose
    Flag colourscolours · Higher wins ↑	5	10	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	11.7° S	12.6° N	Would win