Zipf's law is a mathematical probability that states that in a given set, the most frequently used data value (or word) is used twice as often as the next most common value. This is true in various statistical sets like income distribution in companies, internet traffic, phone calls received, and language.
One of the implications of this law is there are unconscious network forces and mathematical patterns governing our lives, with human beings just being nodes exchanging information.
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Preparation steps before a note-taking session:
Taking a structured approach to note-taking is the best way. Put the outline notes by choosing four or five key points of the lecture, followed by in-depth sub-points. One way to review is to use the Cornell Method, which divides the note sheet into three sections:
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It works best in subjects like chemistry, history and philosophy, subjects having a neural network like interlocked and complex topics.
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