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all right so in todayamp;#39;s video we are going to discuss logarithms in time complexities so this is something that confused me for a very long time and if this is something youamp;#39;re already familiar with you donamp;#39;t really need to watch this you probably already know but thereamp;#39;s certain instances when weamp;#39;re deducing complexities with like things like binary search weamp;#39;ll see things like merge sort quicksort where we see a logarithm appear in the complexity and my goal by the end of this video I want you to have a full and intuitive understanding of what a logarithm means and why it is useful for us and the question it asks us when we are declaring your complexity using the logarithm so letamp;#39;s first investigate what a logarithm is and the fundamental question that a logarithm asks us so I want you to get again the intuitive understanding of this a logarithm asks us a question so I want you to look at this log base two of eight so what does