A little knowledge. An empire of 19.

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

   Timor-LestevsTrinidad and Tobago

   Proximity to equator: 8.9° S vs 10.3° N from the equator · Closer wins ↓

   Conquered Trinidad and Tobago.

   Other category comparisons 5 other winning choices

   All eight categories for Timor-Leste against Trinidad and Tobago

   Category	Timor-Leste	Trinidad and Tobago	Result
   Areakm² · Higher wins ↑	14,874	5,128	Would win
   Populationpeople · Higher wins ↑	1,384,286	1,367,510	Would win
   Wealth per personint’l $ · Higher wins ↑	4,811	34,652	Would lose
   Densityper km² · Higher wins ↑	93.1	266.7	Would lose
   Highest peakm · Higher wins ↑	2,963	940	Would win
   Coastlinekm · Higher wins ↑	706	362	Would win
   Flag colourscolours · Higher wins ↑	4	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	8.9° S	10.3° N	Would win

2. 2
   Round 2Won14 countries · 4 lives left

   LuxembourgvsThailand

   Wealth per person: 152,596 vs 23,598 int’l $ · Higher wins ↑

   Conquered Thailand.

   Other category comparisons 1 other winning choice

   All eight categories for Luxembourg against Thailand

   Category	Luxembourg	Thailand	Result
   Areakm² · Higher wins ↑	2,586	513,120	Would lose
   Populationpeople · Higher wins ↑	666,430	71,702,435	Would lose
   Wealth per personint’l $ · Higher wins ↑ · Chosen	152,596	23,598	Would win
   Densityper km² · Higher wins ↑	257.7	139.7	Would win
   Highest peakm · Higher wins ↑	559	2,565	Would lose
   Coastlinekm · Higher wins ↑	0	3,219	Would lose
   Flag colourscolours · Higher wins ↑	3	3	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	49.7° N	15.5° N	Would lose

3. 3
   Round 3Won15 countries · 4 lives left

   MyanmarvsMorocco

   Flag colours: 4 vs 2 colours · Higher wins ↑

   Conquered Morocco.

   Other category comparisons 5 other winning choices

   All eight categories for Myanmar against Morocco

   Category	Myanmar	Morocco	Result
   Areakm² · Higher wins ↑	676,578	446,550	Would win
   Populationpeople · Higher wins ↑	54,133,798	37,712,505	Would win
   Wealth per personint’l $ · Higher wins ↑	5,958	9,903	Would lose
   Densityper km² · Higher wins ↑	80.0	84.5	Would lose
   Highest peakm · Higher wins ↑	5,870	4,165	Would win
   Coastlinekm · Higher wins ↑	1,930	1,835	Would win
   Flag colourscolours · Higher wins ↑ · Chosen	4	2	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	21.6° N	31.9° N	Would win

4. 4
   Round 4Won16 countries · 4 lives left

   AustraliavsArgentina

   Coastline: 25,760 vs 4,989 km · Higher wins ↑

   Conquered Argentina.

   Other category comparisons 3 other winning choices

   All eight categories for Australia against Argentina

   Category	Australia	Argentina	Result
   Areakm² · Higher wins ↑	7,741,220	2,780,400	Would win
   Populationpeople · Higher wins ↑	26,659,922	45,538,401	Would lose
   Wealth per personint’l $ · Higher wins ↑	72,273	30,246	Would win
   Densityper km² · Higher wins ↑	3.4	16.4	Would lose
   Highest peakm · Higher wins ↑	2,228	6,962	Would lose
   Coastlinekm · Higher wins ↑ · Chosen	25,760	4,989	Would win
   Flag colourscolours · Higher wins ↑	3	4	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	23.1° S	31.4° S	Would win

5. 5
   Round 5Won17 countries · 4 lives left

   RwandavsDenmark

   Highest peak: 4,519 vs 171 m · Higher wins ↑

   Conquered Denmark.

   Other category comparisons 4 other winning choices

   All eight categories for Rwanda against Denmark

   Category	Rwanda	Denmark	Result
   Areakm² · Higher wins ↑	26,338	43,094	Would lose
   Populationpeople · Higher wins ↑	13,954,471	5,946,952	Would win
   Wealth per personint’l $ · Higher wins ↑	3,519	77,425	Would lose
   Densityper km² · Higher wins ↑	529.8	138.0	Would win
   Highest peakm · Higher wins ↑ · Chosen	4,519	171	Would win
   Coastlinekm · Higher wins ↑	0	7,314	Would lose
   Flag colourscolours · Higher wins ↑	3	2	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	1.8° S	55.9° N	Would win

6. 6
   Round 6Won18 countries · 4 lives left

   El SalvadorvsRepublic of the Congo

   Highest peak: 2,730 vs 1,020 m · Higher wins ↑

   Conquered Republic of the Congo.

   Other category comparisons 5 other winning choices

   All eight categories for El Salvador against Republic of the Congo

   Category	El Salvador	Republic of the Congo	Result
   Areakm² · Higher wins ↑	21,041	342,000	Would lose
   Populationpeople · Higher wins ↑	6,309,624	6,182,885	Would win
   Wealth per personint’l $ · Higher wins ↑	12,667	6,856	Would win
   Densityper km² · Higher wins ↑	299.9	18.1	Would win
   Highest peakm · Higher wins ↑ · Chosen	2,730	1,020	Would win
   Coastlinekm · Higher wins ↑	307	169	Would win
   Flag colourscolours · Higher wins ↑	9	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	13.9° N	0.1° N	Would lose

7. 7
   Round 7Won19 countries · 4 lives left

   Côte d’IvoirevsBangladesh

   Area: 322,463 vs 148,460 km² · Higher wins ↑

   Conquered Bangladesh.

   Other category comparisons 3 other winning choices

   All eight categories for Côte d’Ivoire against Bangladesh

   Category	Côte d’Ivoire	Bangladesh	Result
   Areakm² · Higher wins ↑ · Chosen	322,463	148,460	Would win
   Populationpeople · Higher wins ↑	31,165,654	171,466,990	Would lose
   Wealth per personint’l $ · Higher wins ↑	7,243	9,155	Would lose
   Densityper km² · Higher wins ↑	96.6	1,155.0	Would lose
   Highest peakm · Higher wins ↑	1,752	1,060	Would win
   Coastlinekm · Higher wins ↑	515	580	Would lose
   Flag colourscolours · Higher wins ↑	3	2	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	7.5° N	24.3° N	Would win

8. 8
   Round 8Lost18 countries · 3 lives left

   LithuaniavsEcuador

   Density: 44.0 vs 63.4 per km² · Higher wins ↑

   Returned to the world: Lithuania.

   Other category comparisons 1 other winning choice

   All eight categories for Lithuania against Ecuador

   Category	Lithuania	Ecuador	Result
   Areakm² · Higher wins ↑	65,300	283,561	Would lose
   Populationpeople · Higher wins ↑	2,871,585	17,980,083	Would lose
   Wealth per personint’l $ · Higher wins ↑	52,720	15,907	Would win
   Densityper km² · Higher wins ↑ · Chosen	44.0	63.4	Would lose
   Highest peakm · Higher wins ↑	294	6,267	Would lose
   Coastlinekm · Higher wins ↑	90	2,237	Would lose
   Flag colourscolours · Higher wins ↑	3	11	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	55.1° N	1.2° S	Would lose

9. 9
   Round 9Won19 countries · 3 lives left

   HondurasvsBrunei

   Area: 112,090 vs 5,765 km² · Higher wins ↑

   Conquered Brunei.

   Other category comparisons 4 other winning choices

   All eight categories for Honduras against Brunei

   Category	Honduras	Brunei	Result
   Areakm² · Higher wins ↑ · Chosen	112,090	5,765	Would win
   Populationpeople · Higher wins ↑	10,644,851	458,949	Would win
   Wealth per personint’l $ · Higher wins ↑	7,184	85,103	Would lose
   Densityper km² · Higher wins ↑	95.0	79.6	Would win
   Highest peakm · Higher wins ↑	2,870	1,850	Would win
   Coastlinekm · Higher wins ↑	823	161	Would win
   Flag colourscolours · Higher wins ↑	2	4	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	14.7° N	4.5° N	Would lose

10. 10
    Round 10Won20 countries · 3 lives left

    Saudi ArabiavsAlbania

    Area: 2,149,690 vs 28,748 km² · Higher wins ↑

    Conquered Albania.

    Other category comparisons 5 other winning choices

    All eight categories for Saudi Arabia against Albania

    Category	Saudi Arabia	Albania	Result
    Areakm² · Higher wins ↑ · Chosen	2,149,690	28,748	Would win
    Populationpeople · Higher wins ↑	33,702,731	2,411,658	Would win
    Wealth per personint’l $ · Higher wins ↑	71,624	24,848	Would win
    Densityper km² · Higher wins ↑	15.7	83.9	Would lose
    Highest peakm · Higher wins ↑	3,000	2,764	Would win
    Coastlinekm · Higher wins ↑	2,640	362	Would win
    Flag colourscolours · Higher wins ↑	2	2	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	23.5° N	40.7° N	Would win

11. 11
    Round 11Won21 countries · 3 lives left

    NepalvsBelgium

    Highest peak: 8,849 vs 694 m · Higher wins ↑

    Conquered Belgium.

    Other category comparisons 3 other winning choices

    All eight categories for Nepal against Belgium

    Category	Nepal	Belgium	Result
    Areakm² · Higher wins ↑	147,181	30,528	Would win
    Populationpeople · Higher wins ↑	29,694,614	11,779,946	Would win
    Wealth per personint’l $ · Higher wins ↑	5,400	72,630	Would lose
    Densityper km² · Higher wins ↑	201.8	385.9	Would lose
    Highest peakm · Higher wins ↑ · Chosen	8,849	694	Would win
    Coastlinekm · Higher wins ↑	0	66.5	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	29.0° N	50.8° N	Would win

12. 12
    Round 12Won22 countries · 3 lives left

    GuineavsIraq

    Coastline: 320 vs 58 km · Higher wins ↑

    Conquered Iraq.

    Other category comparisons 1 other winning choice

    All eight categories for Guinea against Iraq

    Category	Guinea	Iraq	Result
    Areakm² · Higher wins ↑	245,857	438,317	Would lose
    Populationpeople · Higher wins ↑	14,405,468	45,074,049	Would lose
    Wealth per personint’l $ · Higher wins ↑	4,337	14,665	Would lose
    Densityper km² · Higher wins ↑	58.6	102.8	Would lose
    Highest peakm · Higher wins ↑	1,752	3,611	Would lose
    Coastlinekm · Higher wins ↑ · Chosen	320	58	Would win
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	10.7° N	33.3° N	Would win

13. 13
    Round 13Lost21 countries · 2 lives left

    Timor-LestevsGuyana

    Wealth per person: 4,811 vs 54,774 int’l $ · Higher wins ↑

    Returned to the world: Timor-Leste.

    Other category comparisons 4 other winning choices

    All eight categories for Timor-Leste against Guyana

    Category	Timor-Leste	Guyana	Result
    Areakm² · Higher wins ↑	14,874	214,969	Would lose
    Populationpeople · Higher wins ↑	1,384,286	826,353	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	4,811	54,774	Would lose
    Densityper km² · Higher wins ↑	93.1	3.8	Would win
    Highest peakm · Higher wins ↑	2,963	2,775	Would win
    Coastlinekm · Higher wins ↑	706	459	Would win
    Flag colourscolours · Higher wins ↑	4	5	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	8.9° S	2.7° N	Would lose

14. 14
    Round 14Lost20 countries · 1 life left

    Trinidad and TobagovsPhilippines

    Density: 266.7 vs 383.0 per km² · Higher wins ↑

    Returned to the world: Trinidad and Tobago.

    Other category comparisons 2 other winning choices

    All eight categories for Trinidad and Tobago against Philippines

    Category	Trinidad and Tobago	Philippines	Result
    Areakm² · Higher wins ↑	5,128	300,000	Would lose
    Populationpeople · Higher wins ↑	1,367,510	114,891,199	Would lose
    Wealth per personint’l $ · Higher wins ↑	34,652	10,995	Would win
    Densityper km² · Higher wins ↑ · Chosen	266.7	383.0	Would lose
    Highest peakm · Higher wins ↑	940	2,954	Would lose
    Coastlinekm · Higher wins ↑	362	36,289	Would lose
    Flag colourscolours · Higher wins ↑	3	4	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	10.3° N	17.0° N	Would win

15. 15
    Round 15Lost19 countries · 0 lives left

    LuxembourgvsPeru

    Population: 666,430 vs 33,845,617 people · Higher wins ↑

    Returned to the world: Luxembourg.

    Other category comparisons 3 other winning choices

    All eight categories for Luxembourg against Peru

    Category	Luxembourg	Peru	Result
    Areakm² · Higher wins ↑	2,586	1,285,216	Would lose
    Populationpeople · Higher wins ↑ · Chosen	666,430	33,845,617	Would lose
    Wealth per personint’l $ · Higher wins ↑	152,596	17,042	Would win
    Densityper km² · Higher wins ↑	257.7	26.3	Would win
    Highest peakm · Higher wins ↑	559	6,746	Would lose
    Coastlinekm · Higher wins ↑	0	2,414	Would lose
    Flag colourscolours · Higher wins ↑	3	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	49.7° N	13.0° S	Would lose