A little knowledge. An empire of 35.

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

    EthiopiavsBurundi

    Population: 128,691,692 vs 13,689,450 people · Higher wins ↑

    Conquered Burundi.

    Other category comparisons 4 other winning choices

    All eight categories for Ethiopia against Burundi

    Category	Ethiopia	Burundi	Result
    Areakm² · Higher wins ↑	1,104,300	27,830	Would win
    Populationpeople · Higher wins ↑ · Chosen	128,691,692	13,689,450	Would win
    Wealth per personint’l $ · Higher wins ↑	3,063	1,147	Would win
    Densityper km² · Higher wins ↑	116.5	491.9	Would lose
    Highest peakm · Higher wins ↑	4,550	2,685	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	8.5° N	3.4° S	Would lose

22. 22
    Round 22Lost30 countries · 2 lives left

    KenyavsMalaysia

    Density: 95.4 vs 106.5 per km² · Higher wins ↑

    Returned to the world: Kenya.

    Other category comparisons 4 other winning choices

    All eight categories for Kenya against Malaysia

    Category	Kenya	Malaysia	Result
    Areakm² · Higher wins ↑	580,367	329,847	Would win
    Populationpeople · Higher wins ↑	55,339,003	35,126,298	Would win
    Wealth per personint’l $ · Higher wins ↑	6,322	36,497	Would lose
    Densityper km² · Higher wins ↑ · Chosen	95.4	106.5	Would lose
    Highest peakm · Higher wins ↑	5,199	4,095	Would win
    Coastlinekm · Higher wins ↑	536	4,675	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	0.4° N	4.4° N	Would win

23. 23
    Round 23Won31 countries · 2 lives left

    EgyptvsMalaysia

    Population: 114,535,772 vs 35,126,298 people · Higher wins ↑

    Conquered Malaysia.

    Other category comparisons 2 other winning choices

    All eight categories for Egypt against Malaysia

    Category	Egypt	Malaysia	Result
    Areakm² · Higher wins ↑	1,001,450	329,847	Would win
    Populationpeople · Higher wins ↑ · Chosen	114,535,772	35,126,298	Would win
    Wealth per personint’l $ · Higher wins ↑	18,540	36,497	Would lose
    Densityper km² · Higher wins ↑	114.4	106.5	Would win
    Highest peakm · Higher wins ↑	2,629	4,095	Would lose
    Coastlinekm · Higher wins ↑	2,450	4,675	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	26.3° N	4.4° N	Would lose

24. 24
    Round 24Won32 countries · 2 lives left

    AlbaniavsMaldives

    Population: 2,411,658 vs 525,994 people · Higher wins ↑

    Conquered Maldives.

    Other category comparisons 3 other winning choices

    All eight categories for Albania against Maldives

    Category	Albania	Maldives	Result
    Areakm² · Higher wins ↑	28,748	298	Would win
    Populationpeople · Higher wins ↑ · Chosen	2,411,658	525,994	Would win
    Wealth per personint’l $ · Higher wins ↑	24,848	24,807	Would win
    Densityper km² · Higher wins ↑	83.9	1,765.1	Would lose
    Highest peakm · Higher wins ↑	2,764	5	Would win
    Coastlinekm · Higher wins ↑	362	644	Would lose
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	40.7° N	3.3° N	Would lose

25. 25
    Round 25Won33 countries · 2 lives left

    IcelandvsAustralia

    Density: 3.7 vs 3.4 per km² · Higher wins ↑

    Conquered Australia.

    Other category comparisons 1 other winning choice

    All eight categories for Iceland against Australia

    Category	Iceland	Australia	Result
    Areakm² · Higher wins ↑	103,000	7,741,220	Would lose
    Populationpeople · Higher wins ↑	385,663	26,659,922	Would lose
    Wealth per personint’l $ · Higher wins ↑	82,257	72,273	Would win
    Densityper km² · Higher wins ↑ · Chosen	3.7	3.4	Would win
    Highest peakm · Higher wins ↑	2,110	2,228	Would lose
    Coastlinekm · Higher wins ↑	4,970	25,760	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	64.7° N	23.1° S	Would lose

26. 26
    Round 26Lost32 countries · 1 life left

    EswatinivsPanama

    Population: 1,230,506 vs 4,458,759 people · Higher wins ↑

    Returned to the world: Eswatini.

    Other category comparisons 2 other winning choices

    All eight categories for Eswatini against Panama

    Category	Eswatini	Panama	Result
    Areakm² · Higher wins ↑	17,364	75,420	Would lose
    Populationpeople · Higher wins ↑ · Chosen	1,230,506	4,458,759	Would lose
    Wealth per personint’l $ · Higher wins ↑	11,309	39,846	Would lose
    Densityper km² · Higher wins ↑	70.9	59.1	Would win
    Highest peakm · Higher wins ↑	1,862	3,475	Would lose
    Coastlinekm · Higher wins ↑	0	2,490	Would lose
    Flag colourscolours · Higher wins ↑	6	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	26.6° S	8.4° N	Would lose

27. 27
    Round 27Won33 countries · 1 life left

    IranvsLuxembourg

    Population: 90,608,707 vs 666,430 people · Higher wins ↑

    Conquered Luxembourg.

    Other category comparisons 4 other winning choices

    All eight categories for Iran against Luxembourg

    Category	Iran	Luxembourg	Result
    Areakm² · Higher wins ↑	1,648,195	2,586	Would win
    Populationpeople · Higher wins ↑ · Chosen	90,608,707	666,430	Would win
    Wealth per personint’l $ · Higher wins ↑	18,933	152,596	Would lose
    Densityper km² · Higher wins ↑	55.0	257.7	Would lose
    Highest peakm · Higher wins ↑	5,625	559	Would win
    Coastlinekm · Higher wins ↑	2,440	0	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	32.1° N	49.7° N	Would win

28. 28
    Round 28Won34 countries · 1 life left

    LesothovsDR Congo

    Wealth per person: 2,880 vs 1,732 int’l $ · Higher wins ↑

    Conquered DR Congo.

    Other category comparisons 2 other winning choices

    All eight categories for Lesotho against DR Congo

    Category	Lesotho	DR Congo	Result
    Areakm² · Higher wins ↑	30,355	2,344,858	Would lose
    Populationpeople · Higher wins ↑	2,311,472	105,789,731	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	2,880	1,732	Would win
    Densityper km² · Higher wins ↑	76.1	45.1	Would win
    Highest peakm · Higher wins ↑	3,482	5,110	Would lose
    Coastlinekm · Higher wins ↑	0	37	Would lose
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	29.4° S	1.9° S	Would lose

29. 29
    Round 29Won35 countries · 1 life left

    ColombiavsNamibia

    Area: 1,138,910 vs 824,292 km² · Higher wins ↑

    Conquered Namibia.

    Other category comparisons 6 other winning choices

    All eight categories for Colombia against Namibia

    Category	Colombia	Namibia	Result
    Areakm² · Higher wins ↑ · Chosen	1,138,910	824,292	Would win
    Populationpeople · Higher wins ↑	52,321,152	2,963,095	Would win
    Wealth per personint’l $ · Higher wins ↑	21,282	11,248	Would win
    Densityper km² · Higher wins ↑	45.9	3.6	Would win
    Highest peakm · Higher wins ↑	5,730	2,573	Would win
    Coastlinekm · Higher wins ↑	3,208	1,572	Would win
    Flag colourscolours · Higher wins ↑	3	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	3.4° N	20.6° S	Would win

30. 30
    Round 30Won36 countries · 1 life left

    PeruvsMorocco

    Wealth per person: 17,042 vs 9,903 int’l $ · Higher wins ↑

    Conquered Morocco.

    Other category comparisons 4 other winning choices

    All eight categories for Peru against Morocco

    Category	Peru	Morocco	Result
    Areakm² · Higher wins ↑	1,285,216	446,550	Would win
    Populationpeople · Higher wins ↑	33,845,617	37,712,505	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	17,042	9,903	Would win
    Densityper km² · Higher wins ↑	26.3	84.5	Would lose
    Highest peakm · Higher wins ↑	6,746	4,165	Would win
    Coastlinekm · Higher wins ↑	2,414	1,835	Would win
    Flag colourscolours · Higher wins ↑	2	2	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	13.0° S	31.9° N	Would win

31. 31
    Round 31Lost35 countries · 0 lives left

    Timor-LestevsMalawi

    Density: 93.1 vs 178.1 per km² · Higher wins ↑

    Returned to the world: Timor-Leste.

    Other category comparisons 4 other winning choices

    All eight categories for Timor-Leste against Malawi

    Category	Timor-Leste	Malawi	Result
    Areakm² · Higher wins ↑	14,874	118,484	Would lose
    Populationpeople · Higher wins ↑	1,384,286	21,104,482	Would lose
    Wealth per personint’l $ · Higher wins ↑	4,811	1,832	Would win
    Densityper km² · Higher wins ↑ · Chosen	93.1	178.1	Would lose
    Highest peakm · Higher wins ↑	2,963	3,002	Would lose
    Coastlinekm · Higher wins ↑	706	0	Would win
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	8.9° S	13.4° S	Would win