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Theories of the Black Death are a variety of explanations that have been advanced to explain the nature and transmission of the Black Death (1347–51). A number of epidemiologists from the 1980s to the 2000s challenged the traditional view that the Black Death was caused by plague based on the type and spread of the disease.
In one study, diffusion of responsibility does not occur if another bystander is perceived as being unable to help. [28] Group psychology can also influence behaviour positively; in the event that one bystander takes responsibility for the situation and takes specific action, other bystanders are more likely to follow course.
The human skull is an obvious and frequent symbol of death, found in many cultures and religious traditions. [1] Human skeletons and sometimes non-human animal skeletons and skulls can also be used as blunt images of death; the traditional figures of the Grim Reaper – a black-hooded skeleton with a scythe – is one use of such symbolism. [2]
For example, mythology offers many examples of the "dual mother" narrative, according to which a child has a biological mother and a divine mother. Therefore, argues Jung, Freudian psychoanalysis would neglect important sources for unconscious ideas, in the case of a patient with neurosis around a dual-mother image.
The conceptualization of the identifiable victim effect as it is known today is commonly attributed to American economist Thomas Schelling. He wrote that harm to a particular person invokes “anxiety and sentiment, guilt and awe, responsibility and religion, [but]…most of this awesomeness disappears when we deal with statistical death”. [3]
Image credits: moshik_temkin If we were to believe Maslow's hierarchy of needs, we need our basic physical needs met in order to be happy. That includes food, shelter, stable income, and good health.
Human composting is emerging as an end-of-life alternative that is friendlier to the climate and the Earth — it is far less carbon-intensive than cremation and doesn’t use chemicals involved ...
Diffusion is a stochastic process due to the inherent randomness of the diffusing entity and can be used to model many real-life stochastic scenarios. Therefore, diffusion and the corresponding mathematical models are used in several fields beyond physics, such as statistics , probability theory , information theory , neural networks , finance ...