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If you’re researching a related topic for a legitimate purpose—such as studying internet subcultures, legal frameworks around extreme content, or digital art ethics—I’d be glad to help with a different angle. For example:
Ethical arguments are increasingly reinforced by economic and environmental realities. Industrial livestock farming is a primary driver of deforestation, biodiversity loss, and greenhouse gas emissions. Furthermore, the overuse of antibiotics in animal farming accelerates global antimicrobial resistance risks. 3d bestiality comics link
The formalization of these concepts is relatively modern, but their roots span millennia. Ancient Eastern philosophies, including Buddhism, Hinduism, and Jainism, have long championed ahimsa (non-injury to living beings). Conversely, Western philosophy historically leaned toward Cartesian dualism, where René Descartes infamously claimed animals were mere automata, incapable of feeling pain. If you’re researching a related topic for a
Issues include the use of gestation crates for pigs, battery cages for egg-laying hens, and the practice of tail-docking or debeaking without anesthesia. Furthermore, the overuse of antibiotics in animal farming
Concentrated Animal Feeding Operations (CAFOs) raise billions of land animals annually for food. Welfare concerns include extreme confinement (such as gestation crates for pigs and battery cages for hens), routine mutilation without anesthesia (debeaking, tail-docking), and selective breeding that causes chronic physical ailments. Rights advocates argue for a complete transition to plant-based or cultivated meat alternatives to eliminate slaughter entirely. Scientific Research and Testing


4 comentarios
Buenas!
Muy interesante, alguna recomendación en castellano?
José Pena 29 de diciembre de 2021, 18:27
Hola José, sin dudas te recomiendo la traducción al español de «R for Data Science»: https://es.r4ds.hadley.nz/
Y en este post comparto más material en español que te puede interesar https://www.maximaformacion.es/blog-dat/estadistica-r-libros-y-hojas-de-referencia-en-espanol/
Un saludo!
Rosana Ferrero 17 de enero de 2022, 09:01
Me parece que os falta uno de los esenciales (a mi modo de parecer): R for Data Science, de Hadley Wickham.
Sergio Ciordia 2 de enero de 2022, 10:31
Tienes toda la razón Sergio, gracias por tu comentario, lo he agregado en primer lugar! Este post es un tanto antiguo y faltaba este libro que es un 10.
Un saludo y buen comienzo de semana
Rosana Ferrero 17 de enero de 2022, 08:58