I created a heatmap that shows the distribution of letters for each starting marker of a line. It is quite clear that there are certain glyphs that respond to the first letters, but also that other letters are distributed very evenly. The conclusion is the exciting question. For me (!), two theories are currently competing with each other:
So, with that, I'm now concluding my investigation into the line-start markers. I did find a lot of other statistical anomalies in this context, but they aren't "spectacular" enough to publish here - the significance gets lost in the mass of data.
I apologize again if I've published something already known, but since threads here tend to fade into the background over time, it might still be interesting for newer researchers. Thank you for your attention. If I happen to find anything else related to this, I'll post it.
Well, so now I'm turning my attention back to my Bavarian thesis - my theory needs some adjustments after these findings. And I'm now going to think about how to weave what I've found into a masterful (haha)
body of work....
Note: the heatmap excludes the first token of each line from the count to avoid self-bias.
- There is a second layer of variation in the lines; they are, so to speak, "partially patterned." The effect of this is actually very clearly visible in the following heatmap. Looking at it, one could roughly say that one-third to one-half of the glyphs are subject to at least a second layer of variation.
- Of course (and I know this has already been discussed), it could just as easily be that "p" and "f" (if they aren't actually just a single glyph) are something like a zero glyph, and thus cph as well. And the rest of the anomalies could be due to different types of lines: labels, descriptions, lists, etc. That is also conceivable, and at the moment I'm leaning very slightly in that direction.
So, with that, I'm now concluding my investigation into the line-start markers. I did find a lot of other statistical anomalies in this context, but they aren't "spectacular" enough to publish here - the significance gets lost in the mass of data.
I apologize again if I've published something already known, but since threads here tend to fade into the background over time, it might still be interesting for newer researchers. Thank you for your attention. If I happen to find anything else related to this, I'll post it.
Well, so now I'm turning my attention back to my Bavarian thesis - my theory needs some adjustments after these findings. And I'm now going to think about how to weave what I've found into a masterful (haha)
body of work....Note: the heatmap excludes the first token of each line from the count to avoid self-bias.