A little knowledge. An empire of 165.

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

    NorwayvsGhana

    Coastline: 25,148 vs 539 km · Higher wins ↑

    Conquered Ghana.

    Other category comparisons 3 other winning choices

    All eight categories for Norway against Ghana

    Category	Norway	Ghana	Result
    Areakm² · Higher wins ↑	323,802	238,533	Would win
    Populationpeople · Higher wins ↑	5,519,601	33,787,914	Would lose
    Wealth per personint’l $ · Higher wins ↑	107,768	7,563	Would win
    Densityper km² · Higher wins ↑	17.0	141.6	Would lose
    Highest peakm · Higher wins ↑	2,469	885	Would win
    Coastlinekm · Higher wins ↑ · Chosen	25,148	539	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	61.5° N	7.0° N	Would lose

22. 22
    Round 22Won34 countries · 4 lives left

    MalaysiavsCameroon

    Coastline: 4,675 vs 402 km · Higher wins ↑

    Conquered Cameroon.

    Other category comparisons 6 other winning choices

    All eight categories for Malaysia against Cameroon

    Category	Malaysia	Cameroon	Result
    Areakm² · Higher wins ↑	329,847	475,440	Would lose
    Populationpeople · Higher wins ↑	35,126,298	28,372,687	Would win
    Wealth per personint’l $ · Higher wins ↑	36,497	5,415	Would win
    Densityper km² · Higher wins ↑	106.5	59.7	Would win
    Highest peakm · Higher wins ↑	4,095	4,045	Would win
    Coastlinekm · Higher wins ↑ · Chosen	4,675	402	Would win
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	4.4° N	4.5° N	Would win

23. 23
    Round 23Won35 countries · 4 lives left

    ArgentinavsGreece

    Area: 2,780,400 vs 131,957 km² · Higher wins ↑

    Conquered Greece.

    Other category comparisons 4 other winning choices

    All eight categories for Argentina against Greece

    Category	Argentina	Greece	Result
    Areakm² · Higher wins ↑ · Chosen	2,780,400	131,957	Would win
    Populationpeople · Higher wins ↑	45,538,401	10,407,351	Would win
    Wealth per personint’l $ · Higher wins ↑	30,246	42,614	Would lose
    Densityper km² · Higher wins ↑	16.4	78.9	Would lose
    Highest peakm · Higher wins ↑	6,962	2,917	Would win
    Coastlinekm · Higher wins ↑	4,989	13,676	Would lose
    Flag colourscolours · Higher wins ↑	4	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	31.4° S	39.8° N	Would win

24. 24
    Round 24Won36 countries · 4 lives left

    KuwaitvsLibya

    Wealth per person: 53,083 vs 13,858 int’l $ · Higher wins ↑

    Conquered Libya.

    Other category comparisons 1 other winning choice

    All eight categories for Kuwait against Libya

    Category	Kuwait	Libya	Result
    Areakm² · Higher wins ↑	17,818	1,759,540	Would lose
    Populationpeople · Higher wins ↑	4,853,420	7,305,659	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	53,083	13,858	Would win
    Densityper km² · Higher wins ↑	272.4	4.2	Would win
    Highest peakm · Higher wins ↑	300	2,267	Would lose
    Coastlinekm · Higher wins ↑	499	1,770	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	29.4° N	26.1° N	Would lose

25. 25
    Round 25Won37 countries · 4 lives left

    Timor-LestevsGambia

    Area: 14,874 vs 11,300 km² · Higher wins ↑

    Conquered Gambia.

    Other category comparisons 4 other winning choices

    All eight categories for Timor-Leste against Gambia

    Category	Timor-Leste	Gambia	Result
    Areakm² · Higher wins ↑ · Chosen	14,874	11,300	Would win
    Populationpeople · Higher wins ↑	1,384,286	2,697,845	Would lose
    Wealth per personint’l $ · Higher wins ↑	4,811	3,292	Would win
    Densityper km² · Higher wins ↑	93.1	238.7	Would lose
    Highest peakm · Higher wins ↑	2,963	63	Would win
    Coastlinekm · Higher wins ↑	706	80	Would win
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	8.9° S	13.6° N	Would win

26. 26
    Round 26Won38 countries · 4 lives left

    BangladeshvsIceland

    Population: 171,466,990 vs 385,663 people · Higher wins ↑

    Conquered Iceland.

    Other category comparisons 3 other winning choices

    All eight categories for Bangladesh against Iceland

    Category	Bangladesh	Iceland	Result
    Areakm² · Higher wins ↑	148,460	103,000	Would win
    Populationpeople · Higher wins ↑ · Chosen	171,466,990	385,663	Would win
    Wealth per personint’l $ · Higher wins ↑	9,155	82,257	Would lose
    Densityper km² · Higher wins ↑	1,155.0	3.7	Would win
    Highest peakm · Higher wins ↑	1,060	2,110	Would lose
    Coastlinekm · Higher wins ↑	580	4,970	Would lose
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	24.3° N	64.7° N	Would win

27. 27
    Round 27Won39 countries · 4 lives left

    MauritiusvsAlbania

    Proximity to equator: 20.3° S vs 40.7° N from the equator · Closer wins ↓

    Conquered Albania.

    Other category comparisons 3 other winning choices

    All eight categories for Mauritius against Albania

    Category	Mauritius	Albania	Result
    Areakm² · Higher wins ↑	2,040	28,748	Would lose
    Populationpeople · Higher wins ↑	1,248,647	2,411,658	Would lose
    Wealth per personint’l $ · Higher wins ↑	29,403	24,848	Would win
    Densityper km² · Higher wins ↑	612.1	83.9	Would win
    Highest peakm · Higher wins ↑	828	2,764	Would lose
    Coastlinekm · Higher wins ↑	177	362	Would lose
    Flag colourscolours · Higher wins ↑	4	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	20.3° S	40.7° N	Would win

28. 28
    Round 28Won40 countries · 4 lives left

    FrancevsLiberia

    Population: 65,925,961 vs 5,493,031 people · Higher wins ↑

    Conquered Liberia.

    Other category comparisons 5 other winning choices

    All eight categories for France against Liberia

    Category	France	Liberia	Result
    Areakm² · Higher wins ↑	551,500	111,369	Would win
    Populationpeople · Higher wins ↑ · Chosen	65,925,961	5,493,031	Would win
    Wealth per personint’l $ · Higher wins ↑	60,927	1,796	Would win
    Densityper km² · Higher wins ↑	119.5	49.3	Would win
    Highest peakm · Higher wins ↑	4,810	1,447	Would win
    Coastlinekm · Higher wins ↑	3,427	579	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	46.7° N	7.0° N	Would lose

29. 29
    Round 29Won41 countries · 4 lives left

    South KoreavsPapua New Guinea

    Population: 51,712,619 vs 10,389,635 people · Higher wins ↑

    Conquered Papua New Guinea.

    Other category comparisons 2 other winning choices

    All eight categories for South Korea against Papua New Guinea

    Category	South Korea	Papua New Guinea	Result
    Areakm² · Higher wins ↑	99,720	462,840	Would lose
    Populationpeople · Higher wins ↑ · Chosen	51,712,619	10,389,635	Would win
    Wealth per personint’l $ · Higher wins ↑	57,430	4,672	Would win
    Densityper km² · Higher wins ↑	518.6	22.4	Would win
    Highest peakm · Higher wins ↑	1,950	4,509	Would lose
    Coastlinekm · Higher wins ↑	2,413	5,152	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	36.3° N	5.5° S	Would lose

30. 30
    Round 30Won42 countries · 4 lives left

    IsraelvsSlovenia

    Population: 9,849,000 vs 2,120,461 people · Higher wins ↑

    Conquered Slovenia.

    Other category comparisons 4 other winning choices

    All eight categories for Israel against Slovenia

    Category	Israel	Slovenia	Result
    Areakm² · Higher wins ↑	21,937	20,273	Would win
    Populationpeople · Higher wins ↑ · Chosen	9,849,000	2,120,461	Would win
    Wealth per personint’l $ · Higher wins ↑	55,301	56,151	Would lose
    Densityper km² · Higher wins ↑	449.0	104.6	Would win
    Highest peakm · Higher wins ↑	2,224	2,864	Would lose
    Coastlinekm · Higher wins ↑	273	46.6	Would win
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	30.9° N	46.0° N	Would win

31. 31
    Round 31Won43 countries · 4 lives left

    PalestinevsItaly

    Density: 830.5 vs 195.7 per km² · Higher wins ↑

    Conquered Italy.

    Other category comparisons 2 other winning choices

    All eight categories for Palestine against Italy

    Category	Palestine	Italy	Result
    Areakm² · Higher wins ↑	6,220	301,340	Would lose
    Populationpeople · Higher wins ↑	5,165,775	58,984,216	Would lose
    Wealth per personint’l $ · Higher wins ↑	6,179	60,350	Would lose
    Densityper km² · Higher wins ↑ · Chosen	830.5	195.7	Would win
    Highest peakm · Higher wins ↑	1,020	4,748	Would lose
    Coastlinekm · Higher wins ↑	40	7,600	Would lose
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	32.1° N	45.1° N	Would win

32. 32
    Round 32Won44 countries · 4 lives left

    UruguayvsGuinea-Bissau

    Area: 176,215 vs 36,125 km² · Higher wins ↑

    Conquered Guinea-Bissau.

    Other category comparisons 4 other winning choices

    All eight categories for Uruguay against Guinea-Bissau

    Category	Uruguay	Guinea-Bissau	Result
    Areakm² · Higher wins ↑ · Chosen	176,215	36,125	Would win
    Populationpeople · Higher wins ↑	3,388,081	2,153,339	Would win
    Wealth per personint’l $ · Higher wins ↑	34,546	2,956	Would win
    Densityper km² · Higher wins ↑	19.2	59.6	Would lose
    Highest peakm · Higher wins ↑	514	277	Would win
    Coastlinekm · Higher wins ↑	660	350	Would win
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	32.9° S	12.1° N	Would lose

33. 33
    Round 33Won45 countries · 4 lives left

    TogovsGuinea

    Proximity to equator: 8.9° N vs 10.7° N from the equator · Closer wins ↓

    Conquered Guinea.

    Other category comparisons 2 other winning choices

    All eight categories for Togo against Guinea

    Category	Togo	Guinea	Result
    Areakm² · Higher wins ↑	56,785	245,857	Would lose
    Populationpeople · Higher wins ↑	8,223,850	14,405,468	Would lose
    Wealth per personint’l $ · Higher wins ↑	3,572	4,337	Would lose
    Densityper km² · Higher wins ↑	144.8	58.6	Would win
    Highest peakm · Higher wins ↑	986	1,752	Would lose
    Coastlinekm · Higher wins ↑	56	320	Would lose
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	8.9° N	10.7° N	Would win

34. 34
    Round 34Won46 countries · 4 lives left

    NicaraguavsMontenegro

    Population: 6,823,613 vs 623,529 people · Higher wins ↑

    Conquered Montenegro.

    Other category comparisons 5 other winning choices

    All eight categories for Nicaragua against Montenegro

    Category	Nicaragua	Montenegro	Result
    Areakm² · Higher wins ↑	130,370	13,812	Would win
    Populationpeople · Higher wins ↑ · Chosen	6,823,613	623,529	Would win
    Wealth per personint’l $ · Higher wins ↑	8,327	31,863	Would lose
    Densityper km² · Higher wins ↑	52.3	45.1	Would win
    Highest peakm · Higher wins ↑	2,085	2,534	Would lose
    Coastlinekm · Higher wins ↑	910	293.5	Would win
    Flag colourscolours · Higher wins ↑	10	5	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	12.6° N	42.8° N	Would win

35. 35
    Round 35Won47 countries · 4 lives left

    TanzaniavsBrunei

    Population: 66,617,606 vs 458,949 people · Higher wins ↑

    Conquered Brunei.

    Other category comparisons 3 other winning choices

    All eight categories for Tanzania against Brunei

    Category	Tanzania	Brunei	Result
    Areakm² · Higher wins ↑	947,300	5,765	Would win
    Populationpeople · Higher wins ↑ · Chosen	66,617,606	458,949	Would win
    Wealth per personint’l $ · Higher wins ↑	4,022	85,103	Would lose
    Densityper km² · Higher wins ↑	70.3	79.6	Would lose
    Highest peakm · Higher wins ↑	5,895	1,850	Would win
    Coastlinekm · Higher wins ↑	1,424	161	Would win
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	5.5° S	4.5° N	Would lose

36. 36
    Round 36Won48 countries · 4 lives left

    LebanonvsMauritania

    Density: 555.1 vs 4.9 per km² · Higher wins ↑

    Conquered Mauritania.

    Other category comparisons 3 other winning choices

    All eight categories for Lebanon against Mauritania

    Category	Lebanon	Mauritania	Result
    Areakm² · Higher wins ↑	10,400	1,030,700	Would lose
    Populationpeople · Higher wins ↑	5,773,493	5,022,441	Would win
    Wealth per personint’l $ · Higher wins ↑	12,585	6,972	Would win
    Densityper km² · Higher wins ↑ · Chosen	555.1	4.9	Would win
    Highest peakm · Higher wins ↑	3,088	915	Would win
    Coastlinekm · Higher wins ↑	225	754	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	34.2° N	19.4° N	Would lose

37. 37
    Round 37Won49 countries · 4 lives left

    United KingdomvsOman

    Population: 68,526,000 vs 5,049,269 people · Higher wins ↑

    Conquered Oman.

    Other category comparisons 3 other winning choices

    All eight categories for United Kingdom against Oman

    Category	United Kingdom	Oman	Result
    Areakm² · Higher wins ↑	243,610	309,500	Would lose
    Populationpeople · Higher wins ↑ · Chosen	68,526,000	5,049,269	Would win
    Wealth per personint’l $ · Higher wins ↑	60,787	41,980	Would win
    Densityper km² · Higher wins ↑	281.3	16.3	Would win
    Highest peakm · Higher wins ↑	1,345	3,004	Would lose
    Coastlinekm · Higher wins ↑	12,429	2,092	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	52.5° N	22.1° N	Would lose

38. 38
    Round 38Won50 countries · 4 lives left

    MozambiquevsThailand

    Area: 799,380 vs 513,120 km² · Higher wins ↑

    Conquered Thailand.

    Other category comparisons 2 other winning choices

    All eight categories for Mozambique against Thailand

    Category	Mozambique	Thailand	Result
    Areakm² · Higher wins ↑ · Chosen	799,380	513,120	Would win
    Populationpeople · Higher wins ↑	33,635,160	71,702,435	Would lose
    Wealth per personint’l $ · Higher wins ↑	1,680	23,598	Would lose
    Densityper km² · Higher wins ↑	42.1	139.7	Would lose
    Highest peakm · Higher wins ↑	2,436	2,565	Would lose
    Coastlinekm · Higher wins ↑	2,470	3,219	Would lose
    Flag colourscolours · Higher wins ↑	5	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	14.0° S	15.5° N	Would win

39. 39
    Round 39Won51 countries · 4 lives left

    SomaliavsSolomon Islands

    Area: 637,657 vs 28,896 km² · Higher wins ↑

    Conquered Solomon Islands.

    Other category comparisons 4 other winning choices

    All eight categories for Somalia against Solomon Islands

    Category	Somalia	Solomon Islands	Result
    Areakm² · Higher wins ↑ · Chosen	637,657	28,896	Would win
    Populationpeople · Higher wins ↑	18,358,615	800,005	Would win
    Wealth per personint’l $ · Higher wins ↑	1,557	2,599	Would lose
    Densityper km² · Higher wins ↑	28.8	27.7	Would win
    Highest peakm · Higher wins ↑	2,460	2,335	Would win
    Coastlinekm · Higher wins ↑	3,025	5,313	Would lose
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	2.6° N	9.6° S	Would win

40. 40
    Round 40Won52 countries · 4 lives left

    Burkina FasovsMaldives

    Area: 274,200 vs 298 km² · Higher wins ↑

    Conquered Maldives.

    Other category comparisons 2 other winning choices

    All eight categories for Burkina Faso against Maldives

    Category	Burkina Faso	Maldives	Result
    Areakm² · Higher wins ↑ · Chosen	274,200	298	Would win
    Populationpeople · Higher wins ↑	23,025,776	525,994	Would win
    Wealth per personint’l $ · Higher wins ↑	2,762	24,807	Would lose
    Densityper km² · Higher wins ↑	84.0	1,765.1	Would lose
    Highest peakm · Higher wins ↑	749	5	Would win
    Coastlinekm · Higher wins ↑	0	644	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	12.8° N	3.3° N	Would lose