A little knowledge. An empire of 58.

Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.

41. 41
    Round 41Won49 countries · 2 lives left

    PolandvsAngola

    Wealth per person: 48,473 vs 9,550 int’l $ · Higher wins ↑

    Conquered Angola.

    Other category comparisons 1 other winning choice

    All eight categories for Poland against Angola

    Category	Poland	Angola	Result
    Areakm² · Higher wins ↑	312,685	1,246,700	Would lose
    Populationpeople · Higher wins ↑	36,687,353	36,749,906	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	48,473	9,550	Would win
    Densityper km² · Higher wins ↑	117.3	29.5	Would win
    Highest peakm · Higher wins ↑	2,499	2,620	Would lose
    Coastlinekm · Higher wins ↑	440	1,600	Would lose
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	51.9° N	13.2° S	Would lose

42. 42
    Round 42Won50 countries · 2 lives left

    GuyanavsIreland

    Proximity to equator: 2.7° N vs 53.1° N from the equator · Closer wins ↓

    Conquered Ireland.

    Other category comparisons 3 other winning choices

    All eight categories for Guyana against Ireland

    Category	Guyana	Ireland	Result
    Areakm² · Higher wins ↑	214,969	70,273	Would win
    Populationpeople · Higher wins ↑	826,353	5,311,538	Would lose
    Wealth per personint’l $ · Higher wins ↑	54,774	133,440	Would lose
    Densityper km² · Higher wins ↑	3.8	75.6	Would lose
    Highest peakm · Higher wins ↑	2,775	1,041	Would win
    Coastlinekm · Higher wins ↑	459	1,448	Would lose
    Flag colourscolours · Higher wins ↑	5	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	2.7° N	53.1° N	Would win

43. 43
    Round 43Won51 countries · 2 lives left

    Saudi ArabiavsPhilippines

    Wealth per person: 71,624 vs 10,995 int’l $ · Higher wins ↑

    Conquered Philippines.

    Other category comparisons 2 other winning choices

    All eight categories for Saudi Arabia against Philippines

    Category	Saudi Arabia	Philippines	Result
    Areakm² · Higher wins ↑	2,149,690	300,000	Would win
    Populationpeople · Higher wins ↑	33,702,731	114,891,199	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	71,624	10,995	Would win
    Densityper km² · Higher wins ↑	15.7	383.0	Would lose
    Highest peakm · Higher wins ↑	3,000	2,954	Would win
    Coastlinekm · Higher wins ↑	2,640	36,289	Would lose
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	23.5° N	17.0° N	Would lose

44. 44
    Round 44Won52 countries · 2 lives left

    Trinidad and TobagovsChad

    Coastline: 362 vs 0 km · Higher wins ↑

    Conquered Chad.

    Other category comparisons 3 other winning choices

    All eight categories for Trinidad and Tobago against Chad

    Category	Trinidad and Tobago	Chad	Result
    Areakm² · Higher wins ↑	5,128	1,284,000	Would lose
    Populationpeople · Higher wins ↑	1,367,510	19,319,064	Would lose
    Wealth per personint’l $ · Higher wins ↑	34,652	2,703	Would win
    Densityper km² · Higher wins ↑	266.7	15.0	Would win
    Highest peakm · Higher wins ↑	940	3,445	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	362	0	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	10.3° N	17.3° N	Would win

45. 45
    Round 45Won53 countries · 2 lives left

    JamaicavsKenya

    Density: 258.4 vs 95.4 per km² · Higher wins ↑

    Conquered Kenya.

    Other category comparisons 2 other winning choices

    All eight categories for Jamaica against Kenya

    Category	Jamaica	Kenya	Result
    Areakm² · Higher wins ↑	10,991	580,367	Would lose
    Populationpeople · Higher wins ↑	2,839,786	55,339,003	Would lose
    Wealth per personint’l $ · Higher wins ↑	12,661	6,322	Would win
    Densityper km² · Higher wins ↑ · Chosen	258.4	95.4	Would win
    Highest peakm · Higher wins ↑	2,256	5,199	Would lose
    Coastlinekm · Higher wins ↑	1,022	536	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	18.1° N	0.4° N	Would lose

46. 46
    Round 46Lost52 countries · 1 life left

    EgyptvsMexico

    Proximity to equator: 26.3° N vs 23.5° N from the equator · Closer wins ↓

    Returned to the world: Egypt.

    Other category comparisons 1 other winning choice

    All eight categories for Egypt against Mexico

    Category	Egypt	Mexico	Result
    Areakm² · Higher wins ↑	1,001,450	1,964,375	Would lose
    Populationpeople · Higher wins ↑	114,535,772	129,739,759	Would lose
    Wealth per personint’l $ · Higher wins ↑	18,540	25,188	Would lose
    Densityper km² · Higher wins ↑	114.4	66.0	Would win
    Highest peakm · Higher wins ↑	2,629	5,636	Would lose
    Coastlinekm · Higher wins ↑	2,450	9,330	Would lose
    Flag colourscolours · Higher wins ↑	4	11	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	26.3° N	23.5° N	Would lose

47. 47
    Round 47Won53 countries · 1 life left

    MyanmarvsNamibia

    Density: 80.0 vs 3.6 per km² · Higher wins ↑

    Conquered Namibia.

    Other category comparisons 3 other winning choices

    All eight categories for Myanmar against Namibia

    Category	Myanmar	Namibia	Result
    Areakm² · Higher wins ↑	676,578	824,292	Would lose
    Populationpeople · Higher wins ↑	54,133,798	2,963,095	Would win
    Wealth per personint’l $ · Higher wins ↑	5,958	11,248	Would lose
    Densityper km² · Higher wins ↑ · Chosen	80.0	3.6	Would win
    Highest peakm · Higher wins ↑	5,870	2,573	Would win
    Coastlinekm · Higher wins ↑	1,930	1,572	Would win
    Flag colourscolours · Higher wins ↑	4	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	21.6° N	20.6° S	Would lose

48. 48
    Round 48Won54 countries · 1 life left

    TogovsUzbekistan

    Density: 144.8 vs 79.7 per km² · Higher wins ↑

    Conquered Uzbekistan.

    Other category comparisons 2 other winning choices

    All eight categories for Togo against Uzbekistan

    Category	Togo	Uzbekistan	Result
    Areakm² · Higher wins ↑	56,785	447,400	Would lose
    Populationpeople · Higher wins ↑	8,223,850	35,652,307	Would lose
    Wealth per personint’l $ · Higher wins ↑	3,572	11,679	Would lose
    Densityper km² · Higher wins ↑ · Chosen	144.8	79.7	Would win
    Highest peakm · Higher wins ↑	986	4,643	Would lose
    Coastlinekm · Higher wins ↑	56	0	Would win
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	8.9° N	41.5° N	Would win

49. 49
    Round 49Won55 countries · 1 life left

    North MacedoniavsSlovakia

    Proximity to equator: 41.5° N vs 48.7° N from the equator · Closer wins ↓

    Conquered Slovakia.

    Other category comparisons 1 other winning choice

    All eight categories for North Macedonia against Slovakia

    Category	North Macedonia	Slovakia	Result
    Areakm² · Higher wins ↑	25,713	49,035	Would lose
    Populationpeople · Higher wins ↑	1,827,816	5,426,740	Would lose
    Wealth per personint’l $ · Higher wins ↑	25,354	45,865	Would lose
    Densityper km² · Higher wins ↑	71.1	110.7	Would lose
    Highest peakm · Higher wins ↑	2,764	2,655	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	41.5° N	48.7° N	Would win

50. 50
    Round 50Won56 countries · 1 life left

    South AfricavsAfghanistan

    Wealth per person: 15,212 vs 2,204 int’l $ · Higher wins ↑

    Conquered Afghanistan.

    Other category comparisons 5 other winning choices

    All eight categories for South Africa against Afghanistan

    Category	South Africa	Afghanistan	Result
    Areakm² · Higher wins ↑	1,219,090	652,230	Would win
    Populationpeople · Higher wins ↑	63,212,384	41,454,761	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	15,212	2,204	Would win
    Densityper km² · Higher wins ↑	51.9	63.6	Would lose
    Highest peakm · Higher wins ↑	3,450	7,492	Would lose
    Coastlinekm · Higher wins ↑	2,798	0	Would win
    Flag colourscolours · Higher wins ↑	6	5	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	30.2° S	34.3° N	Would win

51. 51
    Round 51Won57 countries · 1 life left

    PeruvsSweden

    Proximity to equator: 13.0° S vs 65.8° N from the equator · Closer wins ↓

    Conquered Sweden.

    Other category comparisons 4 other winning choices

    All eight categories for Peru against Sweden

    Category	Peru	Sweden	Result
    Areakm² · Higher wins ↑	1,285,216	450,295	Would win
    Populationpeople · Higher wins ↑	33,845,617	10,536,632	Would win
    Wealth per personint’l $ · Higher wins ↑	17,042	68,458	Would lose
    Densityper km² · Higher wins ↑	26.3	23.4	Would win
    Highest peakm · Higher wins ↑	6,746	2,100	Would win
    Coastlinekm · Higher wins ↑	2,414	3,218	Would lose
    Flag colourscolours · Higher wins ↑	2	2	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	13.0° S	65.8° N	Would win

52. 52
    Round 52Won58 countries · 1 life left

    KyrgyzstanvsNepal

    Area: 199,951 vs 147,181 km² · Higher wins ↑

    Conquered Nepal.

    Other category comparisons 1 other winning choice

    All eight categories for Kyrgyzstan against Nepal

    Category	Kyrgyzstan	Nepal	Result
    Areakm² · Higher wins ↑ · Chosen	199,951	147,181	Would win
    Populationpeople · Higher wins ↑	7,099,750	29,694,614	Would lose
    Wealth per personint’l $ · Higher wins ↑	7,304	5,400	Would win
    Densityper km² · Higher wins ↑	35.5	201.8	Would lose
    Highest peakm · Higher wins ↑	7,439	8,849	Would lose
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	41.7° N	29.0° N	Would lose

53. 53
    Round 53Won59 countries · 1 life left

    SerbiavsLithuania

    Proximity to equator: 44.2° N vs 55.1° N from the equator · Closer wins ↓

    Conquered Lithuania.

    Other category comparisons 5 other winning choices

    All eight categories for Serbia against Lithuania

    Category	Serbia	Lithuania	Result
    Areakm² · Higher wins ↑	77,474	65,300	Would win
    Populationpeople · Higher wins ↑	6,623,183	2,871,585	Would win
    Wealth per personint’l $ · Higher wins ↑	29,777	52,720	Would lose
    Densityper km² · Higher wins ↑	85.5	44.0	Would win
    Highest peakm · Higher wins ↑	2,169	294	Would win
    Coastlinekm · Higher wins ↑	0	90	Would lose
    Flag colourscolours · Higher wins ↑	5	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	44.2° N	55.1° N	Would win

54. 54
    Round 54Lost58 countries · 0 lives left

    GabonvsChile

    Density: 9.3 vs 26.0 per km² · Higher wins ↑

    Returned to the world: Gabon.

    Other category comparisons 1 other winning choice

    All eight categories for Gabon against Chile

    Category	Gabon	Chile	Result
    Areakm² · Higher wins ↑	267,667	756,102	Would lose
    Populationpeople · Higher wins ↑	2,484,789	19,658,835	Would lose
    Wealth per personint’l $ · Higher wins ↑	20,773	33,174	Would lose
    Densityper km² · Higher wins ↑ · Chosen	9.3	26.0	Would lose
    Highest peakm · Higher wins ↑	1,050	6,893	Would lose
    Coastlinekm · Higher wins ↑	885	6,435	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	0.6° S	23.4° S	Would win