Exercise 2: First Guesses from a Frequency Count — Possible Solution ==================================================================== Using the chapter's English frequency table, E (12.7%) is the most common letter in ordinary English text by a wide margin, and T (9.1%) is the second most common. Since Q appears far more often than any other letter in the ciphertext, and F is the clear second-place letter, the natural first guess is: Q (ciphertext) -> E (plaintext) F (ciphertext) -> T (plaintext) 38 out of 300 letters is about 12.7% — a strikingly close match to E's real-world frequency, which supports the guess further before any confirmation step is even taken. What to do next to confirm or refute the guess: 1. LOOK FOR SHORT, COMMON WORDS. If Q really is E, look for a 3-letter ciphertext group of the pattern X-Y-Q that could plausibly be "THE" (with Y as the guessed H and X as the guessed T), since "THE" is by far the most common 3-letter English word. If such a pattern recurs often in the ciphertext, that's strong supporting evidence. 2. CHECK FOR DOUBLED LETTERS. English has common doubled-letter pairs (LL, SS, EE, OO). If Q appears doubled somewhere in the ciphertext, that's consistent with E occasionally doubling in words like "SEE" or "BEEN." 3. CONTINUE DOWN THE FREQUENCY TABLE. Match the third, fourth, and fifth most frequent ciphertext letters against A, O, and I/N, and see whether tentative decryptions using all these guesses at once start producing recognizable English word fragments. 4. BE READY TO REVISE. Frequency-based guesses are a starting hypothesis, not a certainty, especially in shorter texts — if applying the Q->E, F->T guess produces nonsense fragments, some of the initial letter assignments may need to be swapped and retested. WHY THIS WORKS AS AN ANSWER ------------------------------ This mirrors exactly how the chapter describes frequency analysis being used in practice: start from the ETAOIN SHRDLU ordering as a first hypothesis, then refine using short common words and digraph patterns rather than treating the initial frequency match alone as proof — the same iterative, evidence-accumulating process the chapter describes for breaking monoalphabetic substitution generally.