El rastro de auditoría
Cómo se construye la cifra de Aluminio
Cada etapa por la que pasa el modelo, con su número. Cada tabla divide la misma cifra principal de una forma distinta, y cada una la suma exactamente — la página lo comprueba y se niega a mostrar una tabla que no la sume.
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La cifra principal
Una unidad es one kilogram of primary aluminium. Escenario Economic-embedded, sobre FIGARO 2023. Cada cifra es la estimación central de 2.000 extracciones, con el intervalo del percentil 5 al 95 al lado y el grado que ese intervalo merece.
Vía de materiales — 4,8 × 10⁻¹⁰ por unidad(0,19–1,2 × 10⁻⁹)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 7,0 × 10⁻⁶ por cada 1.000 € gastados en su industria(0,45–1,1 × 10⁻⁵)MEDIAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Cada paso de abajo es una estimación central. El modelo calcula un intervalo para la cifra completa, no para cada paso, así que el intervalo que se aplica a un paso es el de la cifra principal.
1 · De qué está hecho, y qué lleva cada material
La cantidad de cada materia prima en una unidad, las muertes que lleva cada kilogramo de ella en esta ejecución, y su producto: su aportación a la cifra principal.
| Material | Por unidad | Muertes por kg | Aportación | Parte |
|---|---|---|---|---|
| Bauxita | 0,0040 t | 1,2 × 10⁻¹⁰ | 4,8 × 10⁻¹⁰ | 100 % |
| Suma | 4,8 × 10⁻¹⁰ | = la cifra principal, 4,8 × 10⁻¹⁰ | ||
2 · Dónde se contó el daño
La misma cifra principal, según el país donde se contó el daño que llevan los materiales.
| País | Aportación | Parte |
|---|---|---|
| Brasil | 2,2 × 10⁻¹⁰ | 46 % |
| Turquía | 1,3 × 10⁻¹⁰ | 28 % |
| Australia | 6,8 × 10⁻¹¹ | 14 % |
| India | 2,0 × 10⁻¹¹ | 4,2 % |
| Grecia | 1,6 × 10⁻¹¹ | 3,3 % |
| Rusia | 1,1 × 10⁻¹¹ | 2,3 % |
| Indonesia | 1,1 × 10⁻¹¹ | 2,2 % |
| Venezuela | 7,5 × 10⁻¹³ | 0,16 % |
| Arabia Saudí | 1,9 × 10⁻¹³ | <0,1 % |
| China | 5,6 × 10⁻¹⁴ | <0,1 % |
| Suma | 4,8 × 10⁻¹⁰ | = la cifra principal, 4,8 × 10⁻¹⁰ |
3 · Por qué canal de daño
La misma cifra principal, por canal de daño: conflicto, trabajo, privación, exposición.
| Canal | Aportación | Parte |
|---|---|---|
| Conflicto y violencia política | 2,6 × 10⁻¹⁰ | 54 % |
| Trabajo | 2,2 × 10⁻¹⁰ | 46 % |
| Suma | 4,8 × 10⁻¹⁰ | = la cifra principal, 4,8 × 10⁻¹⁰ |
4 · Qué conflictos
Las muertes por conflicto de la cifra principal, por conflicto. El daño de cualquier otro canal es la fila que no nombra ningún conflicto.
| Conflicto | Aportación | Parte |
|---|---|---|
| Sin ubicar | 2,2 × 10⁻¹⁰ | 46 % |
| Comando Vermelho - PCC | 6,4 × 10⁻¹¹ | 13 % |
| Bonde do Maluco - Comando Vermelho | 2,3 × 10⁻¹¹ | 4,8 % |
| Cartel do Norte - Comando Vermelho | 2,1 × 10⁻¹¹ | 4,4 % |
| Bonde dos 40 - PCC | 1,5 × 10⁻¹¹ | 3,1 % |
| Comando Vermelho - GDE | 1,1 × 10⁻¹¹ | 2,3 % |
| Nova Okaida - Estados Unidos | 1,1 × 10⁻¹¹ | 2,3 % |
| GDE, PCC - Sindicato do Crime | 1,1 × 10⁻¹¹ | 2,3 % |
| PCC - Sindicato do Crime | 9,8 × 10⁻¹² | 2,0 % |
| Amigos Para Sempre - Família Terror Amapá | 9,7 × 10⁻¹² | 2,0 % |
| Comando Vermelho - Civilians | 8,1 × 10⁻¹² | 1,7 % |
| Indonesia: West Papua | 6,6 × 10⁻¹² | 1,4 % |
| Turkey: Kurdistan | 6,2 × 10⁻¹² | 1,3 % |
| India: Kashmir | 5,9 × 10⁻¹² | 1,2 % |
| Bonde dos 13, PCC - Comando Vermelho | 5,8 × 10⁻¹² | 1,2 % |
| Bonde dos 40 - Comando Vermelho | 5,8 × 10⁻¹² | 1,2 % |
| Kuki - Meitei | 5,1 × 10⁻¹² | 1,1 % |
| India: Government | 4,8 × 10⁻¹² | 1,0 % |
| Comando Vermelho - Holanda | 4,1 × 10⁻¹² | 0,86 % |
| OPM - Civilians | 3,1 × 10⁻¹² | 0,65 % |
| Comando Vermelho - Massa | 3,1 × 10⁻¹² | 0,65 % |
| Nova Okaida - PCC | 3,0 × 10⁻¹² | 0,63 % |
| Bonde do Maluco - Katiara | 2,9 × 10⁻¹² | 0,60 % |
| Bonde do Maluco - Civilians | 2,9 × 10⁻¹² | 0,60 % |
| Bonde dos 40 - Civilians | 2,2 × 10⁻¹² | 0,47 % |
| Comando Vermelho - Terceiro Comando Puro | 2,2 × 10⁻¹² | 0,45 % |
| CPI-Maoist - Civilians | 2,1 × 10⁻¹² | 0,45 % |
| PCC - Civilians | 1,6 × 10⁻¹² | 0,34 % |
| Ajeita - Bonde do Maluco | 1,4 × 10⁻¹² | 0,30 % |
| Government of Brazil - Civilians | 1,1 × 10⁻¹² | 0,22 % |
| Anti-Bala - Bala na Cara | 9,9 × 10⁻¹³ | 0,20 % |
| Kashmir insurgents - Civilians | 9,5 × 10⁻¹³ | 0,20 % |
| Russia (Soviet Union): Government | 9,3 × 10⁻¹³ | 0,19 % |
| Bonde dos 40 - PCM | 9,0 × 10⁻¹³ | 0,19 % |
| Government of Indonesia - Civilians | 7,9 × 10⁻¹³ | 0,16 % |
| Government of Venezuela - Civilians | 6,1 × 10⁻¹³ | 0,13 % |
| Russia - Ukraine | 4,6 × 10⁻¹³ | <0,1 % |
| Hindus (India) - Muslims (India) | 4,0 × 10⁻¹³ | <0,1 % |
| Government of India - Civilians | 3,5 × 10⁻¹³ | <0,1 % |
| India: Western South East Asia | 2,0 × 10⁻¹³ | <0,1 % |
| Yemen (North Yemen): Government | 1,9 × 10⁻¹³ | <0,1 % |
| PKK - Civilians | 1,2 × 10⁻¹³ | <0,1 % |
| Myanmar (Burma): Government | 1,0 × 10⁻¹³ | <0,1 % |
| VHP - Civilians | 1,0 × 10⁻¹³ | <0,1 % |
| ELN - Civilians | 9,4 × 10⁻¹⁴ | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 9,0 × 10⁻¹⁴ | <0,1 % |
| FDN - PCC | 9,0 × 10⁻¹⁴ | <0,1 % |
| Myanmar (Burma): Kachin | 5,6 × 10⁻¹⁴ | <0,1 % |
| India - Pakistan | 5,0 × 10⁻¹⁴ | <0,1 % |
| India: Nagaland | 5,0 × 10⁻¹⁴ | <0,1 % |
| NSCN-IM - Civilians | 5,0 × 10⁻¹⁴ | <0,1 % |
| PLFI - Civilians | 5,0 × 10⁻¹⁴ | <0,1 % |
| Russia: Islamic State | 4,8 × 10⁻¹⁴ | <0,1 % |
| EGC - Civilians | 4,7 × 10⁻¹⁴ | <0,1 % |
| Russia (Soviet Union): Chechnya | 1,9 × 10⁻¹⁴ | <0,1 % |
| Suma | 4,8 × 10⁻¹⁰ | = la cifra principal, 4,8 × 10⁻¹⁰ |
5 · La vía monetaria: qué industrias
La cifra por cada 1.000 €, según la industria donde se produjo el daño en cualquier punto de la cadena de suministro.
| Industria | Aportación | Parte |
|---|---|---|
| Mining and quarrying | 4,4 × 10⁻⁶ | 63 % |
| Manufacture of basic metals | 2,3 × 10⁻⁶ | 32 % |
| Land transport and transport via pipelines | 7,5 × 10⁻⁸ | 1,1 % |
| Water transport | 7,4 × 10⁻⁸ | 1,1 % |
| Crop and animal production, hunting and related service activities | 3,2 × 10⁻⁸ | 0,46 % |
| Warehousing and support activities for transportation | 2,7 × 10⁻⁸ | 0,39 % |
| Forestry and logging | 2,3 × 10⁻⁸ | 0,33 % |
| Air transport | 1,6 × 10⁻⁸ | 0,23 % |
| Sewerage, waste management, remediation activities | 1,1 × 10⁻⁸ | 0,17 % |
| Wholesale trade, except of motor vehicles and motorcycles | 1,1 × 10⁻⁸ | 0,16 % |
| Manufacture of fabricated metal products, except machinery and equipment | 8,3 × 10⁻⁹ | 0,12 % |
| Manufacture of other transport equipment | 6,4 × 10⁻⁹ | <0,1 % |
| Electricity, gas, steam and air conditioning supply | 5,1 × 10⁻⁹ | <0,1 % |
| Construction | 4,6 × 10⁻⁹ | <0,1 % |
| Manufacture of coke and refined petroleum products | 4,1 × 10⁻⁹ | <0,1 % |
| Postal and courier activities | 3,3 × 10⁻⁹ | <0,1 % |
| Retail trade, except of motor vehicles and motorcycles | 2,8 × 10⁻⁹ | <0,1 % |
| Water collection, treatment and supply | 2,7 × 10⁻⁹ | <0,1 % |
| Security and investigation, service and landscape, office administrative and support activities | 2,0 × 10⁻⁹ | <0,1 % |
| Manufacture of chemicals and chemical products | 1,9 × 10⁻⁹ | <0,1 % |
| Public administration and defence; compulsory social security | 1,5 × 10⁻⁹ | <0,1 % |
| Rental and leasing activities | 1,3 × 10⁻⁹ | <0,1 % |
| Employment activities | 1,1 × 10⁻⁹ | <0,1 % |
| Manufacture of machinery and equipment n.e.c. | 9,4 × 10⁻¹⁰ | <0,1 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 8,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of other non-metallic mineral products | 6,9 × 10⁻¹⁰ | <0,1 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 6,3 × 10⁻¹⁰ | <0,1 % |
| Manufacture of rubber and plastic products | 5,7 × 10⁻¹⁰ | <0,1 % |
| Accommodation and food service activities | 5,1 × 10⁻¹⁰ | <0,1 % |
| Repair and installation of machinery and equipment | 5,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of computer, electronic and optical products | 5,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of electrical equipment | 5,0 × 10⁻¹⁰ | <0,1 % |
| Repair of computers and personal and household goods | 4,7 × 10⁻¹⁰ | <0,1 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 3,8 × 10⁻¹⁰ | <0,1 % |
| Manufacture of food products; beverages and tobacco products | 3,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of paper and paper products | 2,9 × 10⁻¹⁰ | <0,1 % |
| Architectural and engineering activities; technical testing and analysis | 2,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of textiles, wearing apparel, leather and related products | 2,4 × 10⁻¹⁰ | <0,1 % |
| Human health activities | 2,1 × 10⁻¹⁰ | <0,1 % |
| Travel agency, tour operator reservation service and related activities | 1,9 × 10⁻¹⁰ | <0,1 % |
| Real estate activities | 1,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 1,7 × 10⁻¹⁰ | <0,1 % |
| Activities of membership organisations | 1,7 × 10⁻¹⁰ | <0,1 % |
| Computer programming, consultancy, and information service activities | 1,5 × 10⁻¹⁰ | <0,1 % |
| Financial service activities, except insurance and pension funding | 1,3 × 10⁻¹⁰ | <0,1 % |
| Other personal service activities | 1,3 × 10⁻¹⁰ | <0,1 % |
| Advertising and market research | 1,2 × 10⁻¹⁰ | <0,1 % |
| Manufacture of furniture; other manufacturing | 1,1 × 10⁻¹⁰ | <0,1 % |
| Printing and reproduction of recorded media | 9,5 × 10⁻¹¹ | <0,1 % |
| Other professional, scientific and technical activities; veterinary activities | 8,8 × 10⁻¹¹ | <0,1 % |
| Fishing and aquaculture | 8,2 × 10⁻¹¹ | <0,1 % |
| Sports activities and amusement and recreation activities | 7,7 × 10⁻¹¹ | <0,1 % |
| Telecommunications | 7,5 × 10⁻¹¹ | <0,1 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 6,3 × 10⁻¹¹ | <0,1 % |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 6,1 × 10⁻¹¹ | <0,1 % |
| Residential care activities and social work activities without accommodation | 5,1 × 10⁻¹¹ | <0,1 % |
| Education | 4,4 × 10⁻¹¹ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 3,0 × 10⁻¹¹ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 2,9 × 10⁻¹¹ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 2,9 × 10⁻¹¹ | <0,1 % |
| Scientific research and development | 2,4 × 10⁻¹¹ | <0,1 % |
| Publishing activities | 2,2 × 10⁻¹¹ | <0,1 % |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 2,0 × 10⁻¹² | <0,1 % |
| Suma | 7,0 × 10⁻⁶ | = la cifra principal, 7,0 × 10⁻⁶ |
6 · La vía monetaria: qué países
La cifra por cada 1.000 €, según el país de la industria donde se produjo el daño.
| País | Aportación | Parte |
|---|---|---|
| Sin ubicar | 6,3 × 10⁻⁶ | 91 % |
| México | 3,6 × 10⁻⁷ | 5,1 % |
| Rusia | 5,6 × 10⁻⁸ | 0,81 % |
| Brasil | 5,6 × 10⁻⁸ | 0,80 % |
| Turquía | 3,2 × 10⁻⁸ | 0,46 % |
| India | 2,0 × 10⁻⁸ | 0,29 % |
| Estados Unidos | 1,6 × 10⁻⁸ | 0,23 % |
| Canadá | 1,6 × 10⁻⁸ | 0,23 % |
| Japón | 1,1 × 10⁻⁸ | 0,16 % |
| Corea del Sur | 9,6 × 10⁻⁹ | 0,14 % |
| Francia | 4,2 × 10⁻⁹ | <0,1 % |
| Alemania | 3,5 × 10⁻⁹ | <0,1 % |
| Italia | 3,4 × 10⁻⁹ | <0,1 % |
| Australia | 2,5 × 10⁻⁹ | <0,1 % |
| Indonesia | 2,3 × 10⁻⁹ | <0,1 % |
| Polonia | 2,1 × 10⁻⁹ | <0,1 % |
| España | 2,0 × 10⁻⁹ | <0,1 % |
| Argentina | 1,7 × 10⁻⁹ | <0,1 % |
| Bulgaria | 1,6 × 10⁻⁹ | <0,1 % |
| Rumanía | 7,4 × 10⁻¹⁰ | <0,1 % |
| Austria | 7,2 × 10⁻¹⁰ | <0,1 % |
| Chequia | 7,0 × 10⁻¹⁰ | <0,1 % |
| Grecia | 6,9 × 10⁻¹⁰ | <0,1 % |
| Portugal | 6,7 × 10⁻¹⁰ | <0,1 % |
| Suecia | 5,2 × 10⁻¹⁰ | <0,1 % |
| Arabia Saudí | 5,0 × 10⁻¹⁰ | <0,1 % |
| Bélgica | 4,7 × 10⁻¹⁰ | <0,1 % |
| Hungría | 3,7 × 10⁻¹⁰ | <0,1 % |
| Sudáfrica | 3,3 × 10⁻¹⁰ | <0,1 % |
| Noruega | 3,0 × 10⁻¹⁰ | <0,1 % |
| Finlandia | 2,7 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 2,5 × 10⁻¹⁰ | <0,1 % |
| Lituania | 2,4 × 10⁻¹⁰ | <0,1 % |
| Suiza | 2,2 × 10⁻¹⁰ | <0,1 % |
| Eslovaquia | 2,2 × 10⁻¹⁰ | <0,1 % |
| Eslovenia | 2,1 × 10⁻¹⁰ | <0,1 % |
| Dinamarca | 2,0 × 10⁻¹⁰ | <0,1 % |
| Letonia | 1,5 × 10⁻¹⁰ | <0,1 % |
| Estonia | 1,1 × 10⁻¹⁰ | <0,1 % |
| Croacia | 1,0 × 10⁻¹⁰ | <0,1 % |
| Irlanda | 9,2 × 10⁻¹¹ | <0,1 % |
| China | 7,3 × 10⁻¹¹ | <0,1 % |
| Reino Unido | 6,7 × 10⁻¹¹ | <0,1 % |
| Luxemburgo | 5,0 × 10⁻¹¹ | <0,1 % |
| Chipre | 4,1 × 10⁻¹¹ | <0,1 % |
| Malta | 6,9 × 10⁻¹² | <0,1 % |
| Serbia | 3,0 × 10⁻¹⁴ | <0,1 % |
| Suma | 7,0 × 10⁻⁶ | = la cifra principal, 7,0 × 10⁻⁶ |
Lo que este rastro no muestra
- Las tablas son marginales. «El cobalto lleva el 40 %» y «un país lleva el 60 %» son dos lecturas de una cifra, no un camino a través de ella: la ejecución guarda la cifra por cada dimensión, no por cada combinación de ellas.
- Un intervalo pertenece a la cifra completa. El número de un paso es su estimación central.
- Solo fase de producción. El daño derivado de usar el producto — conducir el coche, cargar el teléfono — no está en esta cifra.
Fuentes de esta cifra
- CEPII, BACI — Gaulier, G. and Zignago, S. (2010), BACI: International Trade Database at the Product-Level, CEPII Working Paper 2010-23. CEPII did not endorse these derived figures — HS92_V202601-20260130, retrieved 2026-09-29 from https://www.cepii.fr/DATA_DOWNLOAD/baci/data/BACI_HS92_V202601.zip. Licensed under Open Licence 2.0 (Licence Ouverte, Etalab) (https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf).
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- FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — qcl-20251231, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Production_Crops_Livestock_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — rfb-20260730, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Inputs_FertilizersProduct_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — rl-20261002, retrieved 2026-10-06 from https://bulks-faostat.fao.org/production/Inputs_LandUse_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
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- International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — emp-20261007, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_EMP_TEMP_SEX_ECO_NB,1.0/.A..SEX_T.. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
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HumanToll 2026, ejecución 2259, metodología v1.0. https://quiescence.eu/humantoll/explain/aluminium/