Answer:
The power elite model.
Explanation:
Wright Mills, an American sociologist, developed the idea that would be opposed to pluralism (power dispersed in a society), and he called it the power elite theory. This relates to Marx's ideas of a society ruled by a small group of individuals who share a common set of political and economic interest given that, what Mills defines as power elite, is also a small group of individuals who hold the majority of power; who could be within the government, large corporations, military, etc. This elite might even compete among themselves to guide the direction of a society.
B, advocate. Being an advocate means you speak out for it, or that you show your support for something.
Gpd means gross domestic product
Answer:
a.
Explanation:
The first drawback is basically money. It takes loads of money to lead researches, because you either have to pay a lot of people to collect these data or do it yourself and take years to find a numerous group to provide a good amount for a trustworthy, important research.
Answer:
One example of cognitive bias is the confirmation bias. Confirmation bias is the tendency to search for, interpret, favor and recall information in a way that confirms or strengthens one's prior personal beliefs or hypothesis. Confirmation bias can prevent one from considering other information when making decisions since they tend to only see factors that support their personal beliefs. This can lead to poor or faulty choices.
In digital security, confirmation bias unconsciously affect security professionals; for example an experienced security analyst may decide or conclude what happened prior to investigating a data breach due to previous events and experiences.
Explanation:
Cognitive biases are defined as errors in thinking that influence how an individual to make decisions. Examples of cognitive biases in digital security or private scenario include: aggregate bias, the fundamental attribution error, the framing effect, anchoring bias, availability bias and confirmation bias.
