I can appreciate how you feel because, I, along with many others here (as illustrated by the responses to this post) feel the same way. What has been particula

I can appreciate how you feel because, I, along with many others here (as illustrated by the responses to this post) feel the same way. What has been particularity important for me in dealing with this is to not let this desire to be versed in a wide array of subjects lend itself to a state of thrashing. It is my goal to possess a range of knowledge, but I know that it will not be perfectly all encompassing, but good or some is better than none. When I say thrashing I am referring to precisely the same sort of thrashing which computers might endure, process thrashing, wherein "when the process working set cannot be coscheduled – so not all interacting processes are scheduled to run at the same time – they experience 'process thrashing' due to being repeatedly scheduled and unscheduled, progressing only slowly."[0] I was first introduced to this idea and it's application to human life through the book Algorithms to Live By, by Brian Christian and Thomas L. Griffiths and I try to keep it in mind. I couple this idea with some advice from Donald Knuth which he extols in the form of an anecdote about his mother (shared by Shuvomoy Das Gupta): "My mother is amazing to watch because she doesn't do anything efficiently, really: She puts about three times as much energy as necessary into everything she does. But she never spends any time wondering what to do next or how to optimize anything; she just keeps working. Her strategy, slightly simplified, is, "See something that needs to be done and do it." All day long. And at the end of the day, she's accomplished a huge amount." This second bit of advice is useful because it reminds me not to get hung up on optimization or identifying the best possible learning pathway. When you aspire to learn many different things, there's nearly an infinite number of places you can get stuck, you can get so stuck in fact, that you fail to learn very much at all. The last bit of advice is a general one: pick the subjects which are most fundamental. For example, say I would like to learn about Zoology, Botany, and Marine Biology. It is most advantageous to choose to study Biology first, as it underpins the three. Then, down the line, should I take the time to dig into each subject in particular, my rate of learning will be accelerated. This isn't anything special, and is in fact the basis of most modern STEM education, learn the fundamentals (math, physics, chemistry, biology) etc. and then the later in-depth topics are built upon that foundation. So, to summarize: Pick a subject (the more fundamental the better), think (a little bit, but not too much) about how you will approach learning it, and simply begin. If something else comes along and piques your interest, feel free to switch gears and follow that interest, but be sure to avoid thrashing, hopping from subject to subject or task to task so rapidly that you aren't picking up anything at all. Just as the other commenters here said, you will be amazed at just how much knowledge you accumulate over time. [0] https://en.wikipedia.org/wiki/Thrashing_(computer_science)#:~:text=thrashing.%5B3%5D-,Process%20thrashing,-A%20similar%20phenomenon https://en.wikipedia.org/wiki/Thrashing_(computer_science)#:... [1] https://shuvomoy.github.io/blogs/posts/Knuth-on-work-habits-and-problem-solving-and-happiness/#:~:text=High%20minimum%20more%20important%20than%20high%20maximum https://shuvomoy.github.io/blogs/posts/Knuth-on-work-habits-....