A little knowledge. An empire of 62.

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 41Won51 countries · 3 lives left

    Trinidad and TobagovsEstonia

    Density: 266.7 vs 30.3 per km² · Higher wins ↑

    Conquered Estonia.

    Other category comparisons 2 other winning choices

    All eight categories for Trinidad and Tobago against Estonia

    Category	Trinidad and Tobago	Estonia	Result
    Areakm² · Higher wins ↑	5,128	45,228	Would lose
    Populationpeople · Higher wins ↑	1,367,510	1,370,286	Would lose
    Wealth per personint’l $ · Higher wins ↑	34,652	48,848	Would lose
    Densityper km² · Higher wins ↑ · Chosen	266.7	30.3	Would win
    Highest peakm · Higher wins ↑	940	318	Would win
    Coastlinekm · Higher wins ↑	362	3,794	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	10.3° N	58.6° N	Would win

42. 42
    Round 42Won52 countries · 3 lives left

    FrancevsFiji

    Population: 65,925,961 vs 924,145 people · Higher wins ↑

    Conquered Fiji.

    Other category comparisons 5 other winning choices

    All eight categories for France against Fiji

    Category	France	Fiji	Result
    Areakm² · Higher wins ↑	551,500	18,274	Would win
    Populationpeople · Higher wins ↑ · Chosen	65,925,961	924,145	Would win
    Wealth per personint’l $ · Higher wins ↑	60,927	14,656	Would win
    Densityper km² · Higher wins ↑	119.5	50.6	Would win
    Highest peakm · Higher wins ↑	4,810	1,324	Would win
    Coastlinekm · Higher wins ↑	3,427	1,129	Would win
    Flag colourscolours · Higher wins ↑	3	8	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	46.7° N	17.8° S	Would lose

43. 43
    Round 43Won53 countries · 3 lives left

    SwitzerlandvsMyanmar

    Wealth per person: 93,940 vs 5,958 int’l $ · Higher wins ↑

    Conquered Myanmar.

    Other category comparisons 1 other winning choice

    All eight categories for Switzerland against Myanmar

    Category	Switzerland	Myanmar	Result
    Areakm² · Higher wins ↑	41,277	676,578	Would lose
    Populationpeople · Higher wins ↑	8,888,822	54,133,798	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	93,940	5,958	Would win
    Densityper km² · Higher wins ↑	215.3	80.0	Would win
    Highest peakm · Higher wins ↑	4,634	5,870	Would lose
    Coastlinekm · Higher wins ↑	0	1,930	Would lose
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	46.7° N	21.6° N	Would lose

44. 44
    Round 44Won54 countries · 3 lives left

    IsraelvsLuxembourg

    Proximity to equator: 30.9° N vs 49.7° N from the equator · Closer wins ↓

    Conquered Luxembourg.

    Other category comparisons 5 other winning choices

    All eight categories for Israel against Luxembourg

    Category	Israel	Luxembourg	Result
    Areakm² · Higher wins ↑	21,937	2,586	Would win
    Populationpeople · Higher wins ↑	9,849,000	666,430	Would win
    Wealth per personint’l $ · Higher wins ↑	55,301	152,596	Would lose
    Densityper km² · Higher wins ↑	449.0	257.7	Would win
    Highest peakm · Higher wins ↑	2,224	559	Would win
    Coastlinekm · Higher wins ↑	273	0	Would win
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	30.9° N	49.7° N	Would win

45. 45
    Round 45Won55 countries · 3 lives left

    GhanavsPanama

    Population: 33,787,914 vs 4,458,759 people · Higher wins ↑

    Conquered Panama.

    Other category comparisons 4 other winning choices

    All eight categories for Ghana against Panama

    Category	Ghana	Panama	Result
    Areakm² · Higher wins ↑	238,533	75,420	Would win
    Populationpeople · Higher wins ↑ · Chosen	33,787,914	4,458,759	Would win
    Wealth per personint’l $ · Higher wins ↑	7,563	39,846	Would lose
    Densityper km² · Higher wins ↑	141.6	59.1	Would win
    Highest peakm · Higher wins ↑	885	3,475	Would lose
    Coastlinekm · Higher wins ↑	539	2,490	Would lose
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	7.0° N	8.4° N	Would win

46. 46
    Round 46Won56 countries · 3 lives left

    South AfricavsJamaica

    Population: 63,212,384 vs 2,839,786 people · Higher wins ↑

    Conquered Jamaica.

    Other category comparisons 5 other winning choices

    All eight categories for South Africa against Jamaica

    Category	South Africa	Jamaica	Result
    Areakm² · Higher wins ↑	1,219,090	10,991	Would win
    Populationpeople · Higher wins ↑ · Chosen	63,212,384	2,839,786	Would win
    Wealth per personint’l $ · Higher wins ↑	15,212	12,661	Would win
    Densityper km² · Higher wins ↑	51.9	258.4	Would lose
    Highest peakm · Higher wins ↑	3,450	2,256	Would win
    Coastlinekm · Higher wins ↑	2,798	1,022	Would win
    Flag colourscolours · Higher wins ↑	6	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	30.2° S	18.1° N	Would lose

47. 47
    Round 47Won57 countries · 3 lives left

    Republic of the CongovsCambodia

    Proximity to equator: 0.1° N vs 12.6° N from the equator · Closer wins ↓

    Conquered Cambodia.

    Other category comparisons 1 other winning choice

    All eight categories for Republic of the Congo against Cambodia

    Category	Republic of the Congo	Cambodia	Result
    Areakm² · Higher wins ↑	342,000	181,035	Would win
    Populationpeople · Higher wins ↑	6,182,885	17,423,880	Would lose
    Wealth per personint’l $ · Higher wins ↑	6,856	7,437	Would lose
    Densityper km² · Higher wins ↑	18.1	96.2	Would lose
    Highest peakm · Higher wins ↑	1,020	1,810	Would lose
    Coastlinekm · Higher wins ↑	169	443	Would lose
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	0.1° N	12.6° N	Would win

48. 48
    Round 48Tied57 countries · 3 lives left

    GermanyvsUnited States

    Flag colours: 3 vs 3 colours · Higher wins ↑

    United States became contested.

    Other category comparisons 1 other winning choice

    All eight categories for Germany against United States

    Category	Germany	United States	Result
    Areakm² · Higher wins ↑	357,022	9,833,517	Would lose
    Populationpeople · Higher wins ↑	83,287,273	336,755,052	Would lose
    Wealth per personint’l $ · Higher wins ↑	72,262	82,587	Would lose
    Densityper km² · Higher wins ↑	233.3	34.2	Would win
    Highest peakm · Higher wins ↑	2,963	6,190	Would lose
    Coastlinekm · Higher wins ↑	2,389	19,924	Would lose
    Flag colourscolours · Higher wins ↑ · Chosen	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	51.0° N	39.1° N	Would lose

49. 49
    Round 49Won59 countries · 3 lives left

    SudanvsAlgeria

    Flag colours: 4 vs 3 colours · Higher wins ↑

    Conquered Algeria, United States.

    Other category comparisons 4 other winning choices

    All eight categories for Sudan against Algeria

    Category	Sudan	Algeria	Result
    Areakm² · Higher wins ↑	1,861,484	2,381,740	Would lose
    Populationpeople · Higher wins ↑	50,042,791	46,164,219	Would win
    Wealth per personint’l $ · Higher wins ↑	2,423	16,838	Would lose
    Densityper km² · Higher wins ↑	26.9	19.4	Would win
    Highest peakm · Higher wins ↑	3,042	2,908	Would win
    Coastlinekm · Higher wins ↑	853	998	Would lose
    Flag colourscolours · Higher wins ↑ · Chosen	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	16.6° N	27.4° N	Would win

50. 50
    Round 50Won60 countries · 3 lives left

    FinlandvsNiger

    Wealth per person: 63,467 vs 1,903 int’l $ · Higher wins ↑

    Conquered Niger.

    Other category comparisons 1 other winning choice

    All eight categories for Finland against Niger

    Category	Finland	Niger	Result
    Areakm² · Higher wins ↑	338,145	1,267,000	Would lose
    Populationpeople · Higher wins ↑	5,583,911	26,159,867	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	63,467	1,903	Would win
    Densityper km² · Higher wins ↑	16.5	20.6	Would lose
    Highest peakm · Higher wins ↑	1,328	2,022	Would lose
    Coastlinekm · Higher wins ↑	1,250	0	Would win
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	63.3° N	17.6° N	Would lose

51. 51
    Round 51Lost59 countries · 2 lives left

    MauritaniavsBrazil

    Highest peak: 915 vs 2,994 m · Higher wins ↑

    Returned to the world: Mauritania.

    Other category comparisons 0 other winning choices

    All eight categories for Mauritania against Brazil

    Category	Mauritania	Brazil	Result
    Areakm² · Higher wins ↑	1,030,700	8,515,770	Would lose
    Populationpeople · Higher wins ↑	5,022,441	211,140,729	Would lose
    Wealth per personint’l $ · Higher wins ↑	6,972	21,193	Would lose
    Densityper km² · Higher wins ↑	4.9	24.8	Would lose
    Highest peakm · Higher wins ↑ · Chosen	915	2,994	Would lose
    Coastlinekm · Higher wins ↑	754	7,491	Would lose
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	19.4° N	12.6° S	Would lose

52. 52
    Round 52Won60 countries · 2 lives left

    NigeriavsDenmark

    Population: 227,882,945 vs 5,946,952 people · Higher wins ↑

    Conquered Denmark.

    Other category comparisons 4 other winning choices

    All eight categories for Nigeria against Denmark

    Category	Nigeria	Denmark	Result
    Areakm² · Higher wins ↑	923,768	43,094	Would win
    Populationpeople · Higher wins ↑ · Chosen	227,882,945	5,946,952	Would win
    Wealth per personint’l $ · Higher wins ↑	8,712	77,425	Would lose
    Densityper km² · Higher wins ↑	246.7	138.0	Would win
    Highest peakm · Higher wins ↑	2,419	171	Would win
    Coastlinekm · Higher wins ↑	853	7,314	Would lose
    Flag colourscolours · Higher wins ↑	2	2	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	9.4° N	55.9° N	Would win

53. 53
    Round 53Won61 countries · 2 lives left

    TogovsAndorra

    Population: 8,223,850 vs 80,856 people · Higher wins ↑

    Conquered Andorra.

    Other category comparisons 3 other winning choices

    All eight categories for Togo against Andorra

    Category	Togo	Andorra	Result
    Areakm² · Higher wins ↑	56,785	468	Would win
    Populationpeople · Higher wins ↑ · Chosen	8,223,850	80,856	Would win
    Wealth per personint’l $ · Higher wins ↑	3,572	71,790	Would lose
    Densityper km² · Higher wins ↑	144.8	172.8	Would lose
    Highest peakm · Higher wins ↑	986	2,946	Would lose
    Coastlinekm · Higher wins ↑	56	0	Would win
    Flag colourscolours · Higher wins ↑	4	7	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	8.9° N	42.5° N	Would win

54. 54
    Round 54Won62 countries · 2 lives left

    GambiavsEthiopia

    Density: 238.7 vs 116.5 per km² · Higher wins ↑

    Conquered Ethiopia.

    Other category comparisons 2 other winning choices

    All eight categories for Gambia against Ethiopia

    Category	Gambia	Ethiopia	Result
    Areakm² · Higher wins ↑	11,300	1,104,300	Would lose
    Populationpeople · Higher wins ↑	2,697,845	128,691,692	Would lose
    Wealth per personint’l $ · Higher wins ↑	3,292	3,063	Would win
    Densityper km² · Higher wins ↑ · Chosen	238.7	116.5	Would win
    Highest peakm · Higher wins ↑	63	4,550	Would lose
    Coastlinekm · Higher wins ↑	80	0	Would win
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	13.6° N	8.5° N	Would lose

55. 55
    Round 55Won63 countries · 2 lives left

    JapanvsEquatorial Guinea

    Population: 124,516,650 vs 1,847,549 people · Higher wins ↑

    Conquered Equatorial Guinea.

    Other category comparisons 5 other winning choices

    All eight categories for Japan against Equatorial Guinea

    Category	Japan	Equatorial Guinea	Result
    Areakm² · Higher wins ↑	377,915	28,051	Would win
    Populationpeople · Higher wins ↑ · Chosen	124,516,650	1,847,549	Would win
    Wealth per personint’l $ · Higher wins ↑	52,726	16,997	Would win
    Densityper km² · Higher wins ↑	329.5	65.9	Would win
    Highest peakm · Higher wins ↑	3,776	3,008	Would win
    Coastlinekm · Higher wins ↑	29,751	296	Would win
    Flag colourscolours · Higher wins ↑	2	8	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	36.7° N	1.6° N	Would lose

56. 56
    Round 56Lost62 countries · 1 life left

    TunisiavsSyria

    Proximity to equator: 35.3° N vs 35.0° N from the equator · Closer wins ↓

    Returned to the world: Tunisia.

    Other category comparisons 1 other winning choice

    All eight categories for Tunisia against Syria

    Category	Tunisia	Syria	Result
    Areakm² · Higher wins ↑	163,610	187,437	Would lose
    Populationpeople · Higher wins ↑	12,200,431	23,594,623	Would lose
    Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.	14,052	Unavailable	Unavailable
    Densityper km² · Higher wins ↑	74.6	125.9	Would lose
    Highest peakm · Higher wins ↑	1,544	2,814	Would lose
    Coastlinekm · Higher wins ↑	1,148	193	Would win
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	35.3° N	35.0° N	Would lose