A little knowledge. An empire of 147.

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

1. 1
   Round 1Won13 countries · 4 lives left

   ZimbabwevsAzerbaijan

   Proximity to equator: 19.0° S vs 40.5° N from the equator · Closer wins ↓

   Conquered Azerbaijan.

   Other category comparisons 3 other winning choices

   All eight categories for Zimbabwe against Azerbaijan

   Category	Zimbabwe	Azerbaijan	Result
   Areakm² · Higher wins ↑	390,757	86,600	Would win
   Populationpeople · Higher wins ↑	16,340,822	10,153,958	Would win
   Wealth per personint’l $ · Higher wins ↑	5,796	23,671	Would lose
   Densityper km² · Higher wins ↑	41.8	117.3	Would lose
   Highest peakm · Higher wins ↑	2,592	4,466	Would lose
   Coastlinekm · Higher wins ↑	0	0	Would tie
   Flag colourscolours · Higher wins ↑	6	4	Would win
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	19.0° S	40.5° N	Would win

2. 2
   Round 2Won14 countries · 4 lives left

   NorwayvsVanuatu

   Wealth per person: 107,768 vs 4,202 int’l $ · Higher wins ↑

   Conquered Vanuatu.

   Other category comparisons 4 other winning choices

   All eight categories for Norway against Vanuatu

   Category	Norway	Vanuatu	Result
   Areakm² · Higher wins ↑	323,802	12,189	Would win
   Populationpeople · Higher wins ↑	5,519,601	320,409	Would win
   Wealth per personint’l $ · Higher wins ↑ · Chosen	107,768	4,202	Would win
   Densityper km² · Higher wins ↑	17.0	26.3	Would lose
   Highest peakm · Higher wins ↑	2,469	1,877	Would win
   Coastlinekm · Higher wins ↑	25,148	2,528	Would win
   Flag colourscolours · Higher wins ↑	3	4	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	61.5° N	15.4° S	Would lose

3. 3
   Round 3Won15 countries · 4 lives left

   Côte d’IvoirevsGabon

   Area: 322,463 vs 267,667 km² · Higher wins ↑

   Conquered Gabon.

   Other category comparisons 3 other winning choices

   All eight categories for Côte d’Ivoire against Gabon

   Category	Côte d’Ivoire	Gabon	Result
   Areakm² · Higher wins ↑ · Chosen	322,463	267,667	Would win
   Populationpeople · Higher wins ↑	31,165,654	2,484,789	Would win
   Wealth per personint’l $ · Higher wins ↑	7,243	20,773	Would lose
   Densityper km² · Higher wins ↑	96.6	9.3	Would win
   Highest peakm · Higher wins ↑	1,752	1,050	Would win
   Coastlinekm · Higher wins ↑	515	885	Would lose
   Flag colourscolours · Higher wins ↑	3	3	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	7.5° N	0.6° S	Would lose

4. 4
   Round 4Won16 countries · 4 lives left

   EswatinivsUzbekistan

   Proximity to equator: 26.6° S vs 41.5° N from the equator · Closer wins ↓

   Conquered Uzbekistan.

   Other category comparisons 1 other winning choice

   All eight categories for Eswatini against Uzbekistan

   Category	Eswatini	Uzbekistan	Result
   Areakm² · Higher wins ↑	17,364	447,400	Would lose
   Populationpeople · Higher wins ↑	1,230,506	35,652,307	Would lose
   Wealth per personint’l $ · Higher wins ↑	11,309	11,679	Would lose
   Densityper km² · Higher wins ↑	70.9	79.7	Would lose
   Highest peakm · Higher wins ↑	1,862	4,643	Would lose
   Coastlinekm · Higher wins ↑	0	0	Would tie
   Flag colourscolours · Higher wins ↑	6	4	Would win
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	26.6° S	41.5° N	Would win

5. 5
   Round 5Won17 countries · 4 lives left

   Central African RepublicvsNew Zealand

   Proximity to equator: 7.0° N vs 45.3° S from the equator · Closer wins ↓

   Conquered New Zealand.

   Other category comparisons 2 other winning choices

   All eight categories for Central African Republic against New Zealand

   Category	Central African Republic	New Zealand	Result
   Areakm² · Higher wins ↑	622,984	268,838	Would win
   Populationpeople · Higher wins ↑	5,152,421	5,200,000	Would lose
   Wealth per personint’l $ · Higher wins ↑	1,258	54,950	Would lose
   Densityper km² · Higher wins ↑	8.3	19.3	Would lose
   Highest peakm · Higher wins ↑	1,410	3,724	Would lose
   Coastlinekm · Higher wins ↑	0	15,134	Would lose
   Flag colourscolours · Higher wins ↑	5	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	7.0° N	45.3° S	Would win

6. 6
   Round 6Won18 countries · 4 lives left

   ThailandvsRussia

   Proximity to equator: 15.5° N vs 63.6° N from the equator · Closer wins ↓

   Conquered Russia.

   Other category comparisons 1 other winning choice

   All eight categories for Thailand against Russia

   Category	Thailand	Russia	Result
   Areakm² · Higher wins ↑	513,120	17,098,242	Would lose
   Populationpeople · Higher wins ↑	71,702,435	143,826,130	Would lose
   Wealth per personint’l $ · Higher wins ↑	23,598	44,299	Would lose
   Densityper km² · Higher wins ↑	139.7	8.4	Would win
   Highest peakm · Higher wins ↑	2,565	5,642	Would lose
   Coastlinekm · Higher wins ↑	3,219	37,653	Would lose
   Flag colourscolours · Higher wins ↑	3	3	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	15.5° N	63.6° N	Would win

7. 7
   Round 7Won19 countries · 4 lives left

   ChadvsBelize

   Area: 1,284,000 vs 22,966 km² · Higher wins ↑

   Conquered Belize.

   Other category comparisons 2 other winning choices

   All eight categories for Chad against Belize

   Category	Chad	Belize	Result
   Areakm² · Higher wins ↑ · Chosen	1,284,000	22,966	Would win
   Populationpeople · Higher wins ↑	19,319,064	411,106	Would win
   Wealth per personint’l $ · Higher wins ↑	2,703	13,741	Would lose
   Densityper km² · Higher wins ↑	15.0	17.9	Would lose
   Highest peakm · Higher wins ↑	3,445	1,124	Would win
   Coastlinekm · Higher wins ↑	0	386	Would lose
   Flag colourscolours · Higher wins ↑	3	12	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	17.3° N	17.0° N	Would lose

8. 8
   Round 8Won20 countries · 4 lives left

   FijivsLibya

   Density: 50.6 vs 4.2 per km² · Higher wins ↑

   Conquered Libya.

   Other category comparisons 3 other winning choices

   All eight categories for Fiji against Libya

   Category	Fiji	Libya	Result
   Areakm² · Higher wins ↑	18,274	1,759,540	Would lose
   Populationpeople · Higher wins ↑	924,145	7,305,659	Would lose
   Wealth per personint’l $ · Higher wins ↑	14,656	13,858	Would win
   Densityper km² · Higher wins ↑ · Chosen	50.6	4.2	Would win
   Highest peakm · Higher wins ↑	1,324	2,267	Would lose
   Coastlinekm · Higher wins ↑	1,129	1,770	Would lose
   Flag colourscolours · Higher wins ↑	8	4	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	17.8° S	26.1° N	Would win

9. 9
   Round 9Won21 countries · 4 lives left

   EstoniavsTanzania

   Wealth per person: 48,848 vs 4,022 int’l $ · Higher wins ↑

   Conquered Tanzania.

   Other category comparisons 1 other winning choice

   All eight categories for Estonia against Tanzania

   Category	Estonia	Tanzania	Result
   Areakm² · Higher wins ↑	45,228	947,300	Would lose
   Populationpeople · Higher wins ↑	1,370,286	66,617,606	Would lose
   Wealth per personint’l $ · Higher wins ↑ · Chosen	48,848	4,022	Would win
   Densityper km² · Higher wins ↑	30.3	70.3	Would lose
   Highest peakm · Higher wins ↑	318	5,895	Would lose
   Coastlinekm · Higher wins ↑	3,794	1,424	Would win
   Flag colourscolours · Higher wins ↑	3	4	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	58.6° N	5.5° S	Would lose

10. 10
    Round 10Won22 countries · 4 lives left

    United KingdomvsKenya

    Wealth per person: 60,787 vs 6,322 int’l $ · Higher wins ↑

    Conquered Kenya.

    Other category comparisons 3 other winning choices

    All eight categories for United Kingdom against Kenya

    Category	United Kingdom	Kenya	Result
    Areakm² · Higher wins ↑	243,610	580,367	Would lose
    Populationpeople · Higher wins ↑	68,526,000	55,339,003	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	60,787	6,322	Would win
    Densityper km² · Higher wins ↑	281.3	95.4	Would win
    Highest peakm · Higher wins ↑	1,345	5,199	Would lose
    Coastlinekm · Higher wins ↑	12,429	536	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	52.5° N	0.4° N	Would lose

11. 11
    Round 11Won23 countries · 4 lives left

    AlbaniavsEthiopia

    Coastline: 362 vs 0 km · Higher wins ↑

    Conquered Ethiopia.

    Other category comparisons 1 other winning choice

    All eight categories for Albania against Ethiopia

    Category	Albania	Ethiopia	Result
    Areakm² · Higher wins ↑	28,748	1,104,300	Would lose
    Populationpeople · Higher wins ↑	2,411,658	128,691,692	Would lose
    Wealth per personint’l $ · Higher wins ↑	24,848	3,063	Would win
    Densityper km² · Higher wins ↑	83.9	116.5	Would lose
    Highest peakm · Higher wins ↑	2,764	4,550	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	362	0	Would win
    Flag colourscolours · Higher wins ↑	2	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	40.7° N	8.5° N	Would lose

12. 12
    Round 12Won24 countries · 4 lives left

    LebanonvsCzechia

    Density: 555.1 vs 137.8 per km² · Higher wins ↑

    Conquered Czechia.

    Other category comparisons 3 other winning choices

    All eight categories for Lebanon against Czechia

    Category	Lebanon	Czechia	Result
    Areakm² · Higher wins ↑	10,400	78,867	Would lose
    Populationpeople · Higher wins ↑	5,773,493	10,864,042	Would lose
    Wealth per personint’l $ · Higher wins ↑	12,585	56,062	Would lose
    Densityper km² · Higher wins ↑ · Chosen	555.1	137.8	Would win
    Highest peakm · Higher wins ↑	3,088	1,602	Would win
    Coastlinekm · Higher wins ↑	225	0	Would win
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	34.2° N	49.8° N	Would win

13. 13
    Round 13Won25 countries · 4 lives left

    ZimbabwevsLithuania

    Area: 390,757 vs 65,300 km² · Higher wins ↑

    Conquered Lithuania.

    Other category comparisons 4 other winning choices

    All eight categories for Zimbabwe against Lithuania

    Category	Zimbabwe	Lithuania	Result
    Areakm² · Higher wins ↑ · Chosen	390,757	65,300	Would win
    Populationpeople · Higher wins ↑	16,340,822	2,871,585	Would win
    Wealth per personint’l $ · Higher wins ↑	5,796	52,720	Would lose
    Densityper km² · Higher wins ↑	41.8	44.0	Would lose
    Highest peakm · Higher wins ↑	2,592	294	Would win
    Coastlinekm · Higher wins ↑	0	90	Would lose
    Flag colourscolours · Higher wins ↑	6	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	19.0° S	55.1° N	Would win

14. 14
    Round 14Won26 countries · 4 lives left

    AzerbaijanvsUkraine

    Flag colours: 4 vs 2 colours · Higher wins ↑

    Conquered Ukraine.

    Other category comparisons 4 other winning choices

    All eight categories for Azerbaijan against Ukraine

    Category	Azerbaijan	Ukraine	Result
    Areakm² · Higher wins ↑	86,600	603,550	Would lose
    Populationpeople · Higher wins ↑	10,153,958	37,732,836	Would lose
    Wealth per personint’l $ · Higher wins ↑	23,671	17,680	Would win
    Densityper km² · Higher wins ↑	117.3	62.5	Would win
    Highest peakm · Higher wins ↑	4,466	2,061	Would win
    Coastlinekm · Higher wins ↑	0	2,782	Would lose
    Flag colourscolours · Higher wins ↑ · Chosen	4	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	40.5° N	49.6° N	Would win

15. 15
    Round 15Won27 countries · 4 lives left

    NorwayvsIndonesia

    Wealth per person: 107,768 vs 15,428 int’l $ · Higher wins ↑

    Conquered Indonesia.

    Other category comparisons 1 other winning choice

    All eight categories for Norway against Indonesia

    Category	Norway	Indonesia	Result
    Areakm² · Higher wins ↑	323,802	1,904,569	Would lose
    Populationpeople · Higher wins ↑	5,519,601	281,190,067	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	107,768	15,428	Would win
    Densityper km² · Higher wins ↑	17.0	147.6	Would lose
    Highest peakm · Higher wins ↑	2,469	4,884	Would lose
    Coastlinekm · Higher wins ↑	25,148	54,716	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	61.5° N	1.0° S	Would lose

16. 16
    Round 16Won28 countries · 4 lives left

    VanuatuvsBangladesh

    Flag colours: 4 vs 2 colours · Higher wins ↑

    Conquered Bangladesh.

    Other category comparisons 3 other winning choices

    All eight categories for Vanuatu against Bangladesh

    Category	Vanuatu	Bangladesh	Result
    Areakm² · Higher wins ↑	12,189	148,460	Would lose
    Populationpeople · Higher wins ↑	320,409	171,466,990	Would lose
    Wealth per personint’l $ · Higher wins ↑	4,202	9,155	Would lose
    Densityper km² · Higher wins ↑	26.3	1,155.0	Would lose
    Highest peakm · Higher wins ↑	1,877	1,060	Would win
    Coastlinekm · Higher wins ↑	2,528	580	Would win
    Flag colourscolours · Higher wins ↑ · Chosen	4	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	15.4° S	24.3° N	Would win

17. 17
    Round 17Won29 countries · 4 lives left

    Côte d’IvoirevsParaguay

    Coastline: 515 vs 0 km · Higher wins ↑

    Conquered Paraguay.

    Other category comparisons 4 other winning choices

    All eight categories for Côte d’Ivoire against Paraguay

    Category	Côte d’Ivoire	Paraguay	Result
    Areakm² · Higher wins ↑	322,463	406,752	Would lose
    Populationpeople · Higher wins ↑	31,165,654	6,844,146	Would win
    Wealth per personint’l $ · Higher wins ↑	7,243	17,585	Would lose
    Densityper km² · Higher wins ↑	96.6	16.8	Would win
    Highest peakm · Higher wins ↑	1,752	842	Would win
    Coastlinekm · Higher wins ↑ · Chosen	515	0	Would win
    Flag colourscolours · Higher wins ↑	3	6	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	7.5° N	21.6° S	Would win

18. 18
    Round 18Won30 countries · 4 lives left

    GabonvsMontenegro

    Proximity to equator: 0.6° S vs 42.8° N from the equator · Closer wins ↓

    Conquered Montenegro.

    Other category comparisons 3 other winning choices

    All eight categories for Gabon against Montenegro

    Category	Gabon	Montenegro	Result
    Areakm² · Higher wins ↑	267,667	13,812	Would win
    Populationpeople · Higher wins ↑	2,484,789	623,529	Would win
    Wealth per personint’l $ · Higher wins ↑	20,773	31,863	Would lose
    Densityper km² · Higher wins ↑	9.3	45.1	Would lose
    Highest peakm · Higher wins ↑	1,050	2,534	Would lose
    Coastlinekm · Higher wins ↑	885	293.5	Would win
    Flag colourscolours · Higher wins ↑	3	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	0.6° S	42.8° N	Would win

19. 19
    Round 19Won31 countries · 4 lives left

    EswatinivsTogo

    Flag colours: 6 vs 4 colours · Higher wins ↑

    Conquered Togo.

    Other category comparisons 2 other winning choices

    All eight categories for Eswatini against Togo

    Category	Eswatini	Togo	Result
    Areakm² · Higher wins ↑	17,364	56,785	Would lose
    Populationpeople · Higher wins ↑	1,230,506	8,223,850	Would lose
    Wealth per personint’l $ · Higher wins ↑	11,309	3,572	Would win
    Densityper km² · Higher wins ↑	70.9	144.8	Would lose
    Highest peakm · Higher wins ↑	1,862	986	Would win
    Coastlinekm · Higher wins ↑	0	56	Would lose
    Flag colourscolours · Higher wins ↑ · Chosen	6	4	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	26.6° S	8.9° N	Would lose

20. 20
    Round 20Won32 countries · 4 lives left

    UzbekistanvsCambodia

    Area: 447,400 vs 181,035 km² · Higher wins ↑

    Conquered Cambodia.

    Other category comparisons 3 other winning choices

    All eight categories for Uzbekistan against Cambodia

    Category	Uzbekistan	Cambodia	Result
    Areakm² · Higher wins ↑ · Chosen	447,400	181,035	Would win
    Populationpeople · Higher wins ↑	35,652,307	17,423,880	Would win
    Wealth per personint’l $ · Higher wins ↑	11,679	7,437	Would win
    Densityper km² · Higher wins ↑	79.7	96.2	Would lose
    Highest peakm · Higher wins ↑	4,643	1,810	Would win
    Coastlinekm · Higher wins ↑	0	443	Would lose
    Flag colourscolours · Higher wins ↑	4	4	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	41.5° N	12.6° N	Would lose