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.

21. 21
    Round 21Won33 countries · 4 lives left

    ArmeniavsLuxembourg

    Highest peak: 4,090 vs 559 m · Higher wins ↑

    Conquered Luxembourg.

    Other category comparisons 3 other winning choices

    All eight categories for Armenia against Luxembourg

    Category	Armenia	Luxembourg	Result
    Areakm² · Higher wins ↑	29,743	2,586	Would win
    Populationpeople · Higher wins ↑	2,964,300	666,430	Would win
    Wealth per personint’l $ · Higher wins ↑	21,552	152,596	Would lose
    Densityper km² · Higher wins ↑	99.7	257.7	Would lose
    Highest peakm · Higher wins ↑ · Chosen	4,090	559	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	40.6° N	49.7° N	Would win

22. 22
    Round 22Won34 countries · 4 lives left

    GreecevsEcuador

    Coastline: 13,676 vs 2,237 km · Higher wins ↑

    Conquered Ecuador.

    Other category comparisons 2 other winning choices

    All eight categories for Greece against Ecuador

    Category	Greece	Ecuador	Result
    Areakm² · Higher wins ↑	131,957	283,561	Would lose
    Populationpeople · Higher wins ↑	10,407,351	17,980,083	Would lose
    Wealth per personint’l $ · Higher wins ↑	42,614	15,907	Would win
    Densityper km² · Higher wins ↑	78.9	63.4	Would win
    Highest peakm · Higher wins ↑	2,917	6,267	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	13,676	2,237	Would win
    Flag colourscolours · Higher wins ↑	2	11	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	39.8° N	1.2° S	Would lose

23. 23
    Round 23Won35 countries · 4 lives left

    IraqvsDjibouti

    Area: 438,317 vs 23,200 km² · Higher wins ↑

    Conquered Djibouti.

    Other category comparisons 4 other winning choices

    All eight categories for Iraq against Djibouti

    Category	Iraq	Djibouti	Result
    Areakm² · Higher wins ↑ · Chosen	438,317	23,200	Would win
    Populationpeople · Higher wins ↑	45,074,049	1,152,944	Would win
    Wealth per personint’l $ · Higher wins ↑	14,665	7,232	Would win
    Densityper km² · Higher wins ↑	102.8	49.7	Would win
    Highest peakm · Higher wins ↑	3,611	2,021	Would win
    Coastlinekm · Higher wins ↑	58	314	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	33.3° N	11.4° N	Would lose

24. 24
    Round 24Won36 countries · 4 lives left

    MauritaniavsBhutan

    Proximity to equator: 19.4° N vs 27.5° N from the equator · Closer wins ↓

    Conquered Bhutan.

    Other category comparisons 3 other winning choices

    All eight categories for Mauritania against Bhutan

    Category	Mauritania	Bhutan	Result
    Areakm² · Higher wins ↑	1,030,700	38,394	Would win
    Populationpeople · Higher wins ↑	5,022,441	786,385	Would win
    Wealth per personint’l $ · Higher wins ↑	6,972	16,229	Would lose
    Densityper km² · Higher wins ↑	4.9	20.5	Would lose
    Highest peakm · Higher wins ↑	915	7,570	Would lose
    Coastlinekm · Higher wins ↑	754	0	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	19.4° N	27.5° N	Would win

25. 25
    Round 25Won37 countries · 4 lives left

    MauritiusvsNorway

    Density: 612.1 vs 17.0 per km² · Higher wins ↑

    Conquered Norway.

    Other category comparisons 2 other winning choices

    All eight categories for Mauritius against Norway

    Category	Mauritius	Norway	Result
    Areakm² · Higher wins ↑	2,040	323,802	Would lose
    Populationpeople · Higher wins ↑	1,248,647	5,519,601	Would lose
    Wealth per personint’l $ · Higher wins ↑	29,403	107,768	Would lose
    Densityper km² · Higher wins ↑ · Chosen	612.1	17.0	Would win
    Highest peakm · Higher wins ↑	828	2,469	Would lose
    Coastlinekm · Higher wins ↑	177	25,148	Would lose
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	20.3° S	61.5° N	Would win

26. 26
    Round 26Won38 countries · 4 lives left

    IranvsSouth Korea

    Area: 1,648,195 vs 99,720 km² · Higher wins ↑

    Conquered South Korea.

    Other category comparisons 4 other winning choices

    All eight categories for Iran against South Korea

    Category	Iran	South Korea	Result
    Areakm² · Higher wins ↑ · Chosen	1,648,195	99,720	Would win
    Populationpeople · Higher wins ↑	90,608,707	51,712,619	Would win
    Wealth per personint’l $ · Higher wins ↑	18,933	57,430	Would lose
    Densityper km² · Higher wins ↑	55.0	518.6	Would lose
    Highest peakm · Higher wins ↑	5,625	1,950	Would win
    Coastlinekm · Higher wins ↑	2,440	2,413	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	32.1° N	36.3° N	Would win

27. 27
    Round 27Lost37 countries · 3 lives left

    MoroccovsVietnam

    Proximity to equator: 31.9° N vs 21.7° N from the equator · Closer wins ↓

    Returned to the world: Morocco.

    Other category comparisons 2 other winning choices

    All eight categories for Morocco against Vietnam

    Category	Morocco	Vietnam	Result
    Areakm² · Higher wins ↑	446,550	331,210	Would win
    Populationpeople · Higher wins ↑	37,712,505	100,352,192	Would lose
    Wealth per personint’l $ · Higher wins ↑	9,903	15,034	Would lose
    Densityper km² · Higher wins ↑	84.5	303.0	Would lose
    Highest peakm · Higher wins ↑	4,165	3,144	Would win
    Coastlinekm · Higher wins ↑	1,835	3,444	Would lose
    Flag colourscolours · Higher wins ↑	2	2	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	31.9° N	21.7° N	Would lose

28. 28
    Round 28Won38 countries · 3 lives left

    PanamavsSwitzerland

    Coastline: 2,490 vs 0 km · Higher wins ↑

    Conquered Switzerland.

    Other category comparisons 3 other winning choices

    All eight categories for Panama against Switzerland

    Category	Panama	Switzerland	Result
    Areakm² · Higher wins ↑	75,420	41,277	Would win
    Populationpeople · Higher wins ↑	4,458,759	8,888,822	Would lose
    Wealth per personint’l $ · Higher wins ↑	39,846	93,940	Would lose
    Densityper km² · Higher wins ↑	59.1	215.3	Would lose
    Highest peakm · Higher wins ↑	3,475	4,634	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	2,490	0	Would win
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	8.4° N	46.7° N	Would win

29. 29
    Round 29Won39 countries · 3 lives left

    IndonesiavsSierra Leone

    Population: 281,190,067 vs 8,460,512 people · Higher wins ↑

    Conquered Sierra Leone.

    Other category comparisons 6 other winning choices

    All eight categories for Indonesia against Sierra Leone

    Category	Indonesia	Sierra Leone	Result
    Areakm² · Higher wins ↑	1,904,569	71,740	Would win
    Populationpeople · Higher wins ↑ · Chosen	281,190,067	8,460,512	Would win
    Wealth per personint’l $ · Higher wins ↑	15,428	3,371	Would win
    Densityper km² · Higher wins ↑	147.6	117.9	Would win
    Highest peakm · Higher wins ↑	4,884	1,948	Would win
    Coastlinekm · Higher wins ↑	54,716	402	Would win
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	1.0° S	8.7° N	Would win

30. 30
    Round 30Won40 countries · 3 lives left

    SingaporevsGuinea-Bissau

    Density: 8,230.4 vs 59.6 per km² · Higher wins ↑

    Conquered Guinea-Bissau.

    Other category comparisons 3 other winning choices

    All eight categories for Singapore against Guinea-Bissau

    Category	Singapore	Guinea-Bissau	Result
    Areakm² · Higher wins ↑	719	36,125	Would lose
    Populationpeople · Higher wins ↑	5,917,648	2,153,339	Would win
    Wealth per personint’l $ · Higher wins ↑	144,728	2,956	Would win
    Densityper km² · Higher wins ↑ · Chosen	8,230.4	59.6	Would win
    Highest peakm · Higher wins ↑	166	277	Would lose
    Coastlinekm · Higher wins ↑	193	350	Would lose
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	1.4° N	12.1° N	Would win

31. 31
    Round 31Won41 countries · 3 lives left

    BruneivsBrazil

    Wealth per person: 85,103 vs 21,193 int’l $ · Higher wins ↑

    Conquered Brazil.

    Other category comparisons 2 other winning choices

    All eight categories for Brunei against Brazil

    Category	Brunei	Brazil	Result
    Areakm² · Higher wins ↑	5,765	8,515,770	Would lose
    Populationpeople · Higher wins ↑	458,949	211,140,729	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	85,103	21,193	Would win
    Densityper km² · Higher wins ↑	79.6	24.8	Would win
    Highest peakm · Higher wins ↑	1,850	2,994	Would lose
    Coastlinekm · Higher wins ↑	161	7,491	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	4.5° N	12.6° S	Would win

32. 32
    Round 32Won42 countries · 3 lives left

    BelizevsZambia

    Wealth per person: 13,741 vs 4,080 int’l $ · Higher wins ↑

    Conquered Zambia.

    Other category comparisons 2 other winning choices

    All eight categories for Belize against Zambia

    Category	Belize	Zambia	Result
    Areakm² · Higher wins ↑	22,966	752,618	Would lose
    Populationpeople · Higher wins ↑	411,106	20,723,965	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	13,741	4,080	Would win
    Densityper km² · Higher wins ↑	17.9	27.5	Would lose
    Highest peakm · Higher wins ↑	1,124	2,330	Would lose
    Coastlinekm · Higher wins ↑	386	0	Would win
    Flag colourscolours · Higher wins ↑	12	4	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	17.0° N	14.7° S	Would lose

33. 33
    Round 33Won43 countries · 3 lives left

    BurundivsJordan

    Proximity to equator: 3.4° S vs 30.7° N from the equator · Closer wins ↓

    Conquered Jordan.

    Other category comparisons 3 other winning choices

    All eight categories for Burundi against Jordan

    Category	Burundi	Jordan	Result
    Areakm² · Higher wins ↑	27,830	89,342	Would lose
    Populationpeople · Higher wins ↑	13,689,450	11,439,213	Would win
    Wealth per personint’l $ · Higher wins ↑	1,147	11,451	Would lose
    Densityper km² · Higher wins ↑	491.9	128.0	Would win
    Highest peakm · Higher wins ↑	2,685	1,854	Would win
    Coastlinekm · Higher wins ↑	0	26	Would lose
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	3.4° S	30.7° N	Would win

34. 34
    Round 34Won44 countries · 3 lives left

    MaltavsGabon

    Wealth per person: 67,101 vs 20,773 int’l $ · Higher wins ↑

    Conquered Gabon.

    Other category comparisons 1 other winning choice

    All eight categories for Malta against Gabon

    Category	Malta	Gabon	Result
    Areakm² · Higher wins ↑	316	267,667	Would lose
    Populationpeople · Higher wins ↑	552,747	2,484,789	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	67,101	20,773	Would win
    Densityper km² · Higher wins ↑	1,749.2	9.3	Would win
    Highest peakm · Higher wins ↑	253	1,050	Would lose
    Coastlinekm · Higher wins ↑	196.8	885	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	35.9° N	0.6° S	Would lose

35. 35
    Round 35Won45 countries · 3 lives left

    MaldivesvsAngola

    Density: 1,765.1 vs 29.5 per km² · Higher wins ↑

    Conquered Angola.

    Other category comparisons 2 other winning choices

    All eight categories for Maldives against Angola

    Category	Maldives	Angola	Result
    Areakm² · Higher wins ↑	298	1,246,700	Would lose
    Populationpeople · Higher wins ↑	525,994	36,749,906	Would lose
    Wealth per personint’l $ · Higher wins ↑	24,807	9,550	Would win
    Densityper km² · Higher wins ↑ · Chosen	1,765.1	29.5	Would win
    Highest peakm · Higher wins ↑	5	2,620	Would lose
    Coastlinekm · Higher wins ↑	644	1,600	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	3.3° N	13.2° S	Would win

36. 36
    Round 36Won46 countries · 3 lives left

    ChinavsAlbania

    Population: 1,410,710,000 vs 2,411,658 people · Higher wins ↑

    Conquered Albania.

    Other category comparisons 6 other winning choices

    All eight categories for China against Albania

    Category	China	Albania	Result
    Areakm² · Higher wins ↑	9,596,960	28,748	Would win
    Populationpeople · Higher wins ↑ · Chosen	1,410,710,000	2,411,658	Would win
    Wealth per personint’l $ · Higher wins ↑	25,200	24,848	Would win
    Densityper km² · Higher wins ↑	147.0	83.9	Would win
    Highest peakm · Higher wins ↑	8,849	2,764	Would win
    Coastlinekm · Higher wins ↑	14,500	362	Would win
    Flag colourscolours · Higher wins ↑	2	2	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	32.5° N	40.7° N	Would win

37. 37
    Round 37Won47 countries · 3 lives left

    New ZealandvsLiberia

    Area: 268,838 vs 111,369 km² · Higher wins ↑

    Conquered Liberia.

    Other category comparisons 3 other winning choices

    All eight categories for New Zealand against Liberia

    Category	New Zealand	Liberia	Result
    Areakm² · Higher wins ↑ · Chosen	268,838	111,369	Would win
    Populationpeople · Higher wins ↑	5,200,000	5,493,031	Would lose
    Wealth per personint’l $ · Higher wins ↑	54,950	1,796	Would win
    Densityper km² · Higher wins ↑	19.3	49.3	Would lose
    Highest peakm · Higher wins ↑	3,724	1,447	Would win
    Coastlinekm · Higher wins ↑	15,134	579	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	45.3° S	7.0° N	Would lose

38. 38
    Round 38Won48 countries · 3 lives left

    SerbiavsRussia

    Density: 85.5 vs 8.4 per km² · Higher wins ↑

    Conquered Russia.

    Other category comparisons 2 other winning choices

    All eight categories for Serbia against Russia

    Category	Serbia	Russia	Result
    Areakm² · Higher wins ↑	77,474	17,098,242	Would lose
    Populationpeople · Higher wins ↑	6,623,183	143,826,130	Would lose
    Wealth per personint’l $ · Higher wins ↑	29,777	44,299	Would lose
    Densityper km² · Higher wins ↑ · Chosen	85.5	8.4	Would win
    Highest peakm · Higher wins ↑	2,169	5,642	Would lose
    Coastlinekm · Higher wins ↑	0	37,653	Would lose
    Flag colourscolours · Higher wins ↑	5	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	44.2° N	63.6° N	Would win

39. 39
    Round 39Won49 countries · 3 lives left

    BangladeshvsHaiti

    Population: 171,466,990 vs 11,637,398 people · Higher wins ↑

    Conquered Haiti.

    Other category comparisons 3 other winning choices

    All eight categories for Bangladesh against Haiti

    Category	Bangladesh	Haiti	Result
    Areakm² · Higher wins ↑	148,460	27,750	Would win
    Populationpeople · Higher wins ↑ · Chosen	171,466,990	11,637,398	Would win
    Wealth per personint’l $ · Higher wins ↑	9,155	3,265	Would win
    Densityper km² · Higher wins ↑	1,155.0	419.4	Would win
    Highest peakm · Higher wins ↑	1,060	2,674	Would lose
    Coastlinekm · Higher wins ↑	580	1,771	Would lose
    Flag colourscolours · Higher wins ↑	2	7	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	24.3° N	19.2° N	Would lose

40. 40
    Round 40Won50 countries · 3 lives left

    Trinidad and TobagovsNamibia

    Density: 266.7 vs 3.6 per km² · Higher wins ↑

    Conquered Namibia.

    Other category comparisons 2 other winning choices

    All eight categories for Trinidad and Tobago against Namibia

    Category	Trinidad and Tobago	Namibia	Result
    Areakm² · Higher wins ↑	5,128	824,292	Would lose
    Populationpeople · Higher wins ↑	1,367,510	2,963,095	Would lose
    Wealth per personint’l $ · Higher wins ↑	34,652	11,248	Would win
    Densityper km² · Higher wins ↑ · Chosen	266.7	3.6	Would win
    Highest peakm · Higher wins ↑	940	2,573	Would lose
    Coastlinekm · Higher wins ↑	362	1,572	Would lose
    Flag colourscolours · Higher wins ↑	3	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	10.3° N	20.6° S	Would win