Simple Methods for Order-of-Magnitude Approximation:
Divide and conquer: Split a complicated problem into manageable chunks, especially when you must deal with tiny or huge numbers, or when a formula naturally factors into parts.
Guess: Make a guess before solving a problem. The guess may suggest a method of attack. For example, if the guess results in a tiny or huge number, consider using divide and conquer. The guess may provide a rough estimate; then you can remember the final estimate as a correction to the guess. Furthermore, guessing—and checking and modifying your guess—improves your intuition and guesses for future problems.
Talk to your gut: When you make a guess, ask your gut how it feels. Is it too high? Too low? If the guess is both, then it’s probably reliable.
Lie skillfully: Simplify a complicated situation by assuming what you need to know to solve it. For example, when you do not know what shape an object has, assume that it is a sphere or a cube.
Cross-check: Solve a problem in more than one way, to check whether your answers correspond.
Use guerrilla warfare: Dredge up related facts to help you make an estimate.
Punt: If you’re worried about a physical effect, do not worry about it in your first attempt at a solution. The productive strategy is to start estimating, to explore the problem, and then to handle the exceptions once you understand the domain.
Be an optimist: This method is related to punt. If an assumption allows a solution, make it, and worry about the damage afterward.
Lower your standards: If you cannot solve the entire problem as asked, solve those parts of it that you can, because the subproblem might still be interesting. Solving the subproblem also clarifies what you need to know to solve the original problem.
Use symbols: Even if you do not know a certain value—for example, the energy density stored in muscle—define a symbol for it. It may cancel later. If it does not, and the problem is still too complex, then lower your standards.