“One way to define truth is persistent lies persisted.”
– unknown, probably me
Lie number 1: You do not need mathematics.
While the pervasiveness of mathematics in our daily lives is undeniable, many erroneously believe they can navigate the world without a solid understanding of mathematical concepts. Whether we realize it or not, mathematics underpins various aspects of our existence.
An immediate illustration is found in technology. Our daily interactions with applications involve complex mathematical concepts such as Probability Theory and Discrete Math, which form the bedrock of applied computer science. Even routine tasks like checking the weather or temperature involve mathematical calculations. Simply put, a conversation with mathematics is embedded in the fabric of our technological and informational encounters.
For those skeptical about the necessity of mathematical proficiency, consider day-to-day transactions. The fundamental principles of Number Theory subtly guide us through a world of numbers, influencing every financial exchange. To delve deeper into the significance of mathematical thinking, I recommend Keith Devlin’s Introduction to Mathematical Thinking course.
Lie number 2: You don’t need Algorithms and Data Structures.
In my pursuit of knowledge in 2022, with the primary aim of securing a position at a major tech company, I encountered a prevalent falsehood: the belief that one can succeed without a deep understanding of algorithms and data structures. Although my intended destination in Big Tech eluded me due to unforeseen layoffs, the journey itself yielded invaluable lessons.
Each day spent mastering algorithms and data structures was an investment in logical thinking. While the immediate goal was a tech job, the real-world applications became evident in my day-to-day work. A tangible example is the application of a queue data structure to optimize a process—saving the best checkpoint after validation steps. Without this knowledge, I would have approached problem-solving differently, potentially sacrificing efficiency.
This experience reinforced a fundamental truth: ‘How can you solve a problem efficiently if you don’t know the solution already exists?’ The synergy between theoretical knowledge and practical problem-solving is the key to navigating the complex landscape of technology.
Lie number 3: Hard work is all you need.
The misconception that hard work alone guarantees success is a fallacy, much like the belief that writing code is solely about mastering syntax. Let’s dissect this notion through a lens of nuanced simplicity.
Firstly, let’s establish that hard work is non-negotiable—it’s the baseline, the bare minimum. Consistently giving your 100% per endeavor maximizes output, creating a foundation for potential success.
Secondly, consider the temporal dimension. Success is not solely within our control; external forces, like the passage of time, play a significant role. Embracing change and adapting swiftly to evolving circumstances amplify our chances of success. Change, after all, is not a permanent state. Be prepared to pivot and adjust as needed.
Thirdly, entertain the idea of a benevolent force in the universe—call it good karma. While this may tread into the realms of personal belief, my perspective envisions an interconnected world where our actions reverberate through the fabric of our fortunes. Doing good isn’t just a moral compass; it might also be an investment in your future successes. Whether you attribute this to cosmic balance, fate, or a web of interconnected actions, the notion remains: positivity begets positivity.
A caveat: the influence of deities and religious beliefs on karma is subjective and personal. As you navigate this landscape, keep in mind that your journey might be influenced by forces beyond your comprehension. Good luck!
