Runela & Quantify
I’ve been crunching the letter frequency from that undeciphered script you found, and I’m curious if a simple frequency chart might reveal a hidden structure you’re looking for.
Frequency charts can sometimes hint at patterns, but they’re only one tool in a very small box. If the script is alphabetic, you might see a high‑frequency letter akin to an “e” or a “t.” Yet many ancient writings use logograms or syllabaries where every symbol carries its own weight and no single sign dominates. A chart might reveal a handful of common signs, but that doesn’t guarantee they’re phonetic or even related. The real trick is to look for repeated sequences, context, and any signs that seem to align with known linguistic families. In short, a frequency list can be a starting point, but it’s unlikely to expose the whole structure on its own.
Sounds right, but let’s be realistic: a frequency list is just a snapshot, not the whole picture. If the script is anything but a simple alphabet, you’ll need to layer that data with repeat‑pattern analysis and contextual clues. Think of it as a first pivot table, not the final dashboard.
Indeed, the chart is merely a snapshot, a first pivot, not the final map. If the script bends away from a neat alphabet, the real work lies in spotting recurring motifs, pairing them with context, and testing the patterns against what little we know of similar systems. In short, let the numbers guide you, but let your eyes and intuition do the heavy lifting.
Good plan—just remember to keep the spreadsheet ready for a quick sanity check after each insight. If you spot a motif that looks like a loop, flag it, cross‑reference with the known logograms, and watch the trend line change. Data is the map, intuition is the compass.
I’ll keep the ledger open, noting each motif and cross‑checking it with the known signs. The spreadsheet will be my quick sanity check. Data is the map, intuition is the compass.
Sounds like you’ll be crunching the numbers and then double‑checking the intuition—nice, just make sure the spreadsheet doesn’t get too cluttered with your snack‑drawer chaos. Keep the data clean, and the anomalies will scream.
I'll keep the spreadsheet neat, separate the snack drawer from the data, and let the anomalies shout when they need my attention.
Nice, just remember to tag those snack‑drawer anomalies separately— they’re pure outliers and will skew the mean if you leave them in the same sheet.
I’ll treat the snack‑drawer entries like mythical beasts—tame them in a separate tab and keep the main ledger pure. That way the numbers won’t be distracted by crumbs.