A young man in a faraway dominion of my life told me the other day that this website was full of my “self-elations”. Although puzzled at his choice of words, I did not correct him, since I think I knew what he was trying to say. Because the tang of his words was bitter, I assumed that he did not mean my scribbles are a measure of my light-heartedness or happiness; by “self-elation” he criticised me for writing “self-adulations” – self-serving, self-inflating pieces. Anyway: with “self-elation” fresh in my mind, I had an Aha! while trawling this afternoon through my draft posts. I came across this title, the provenance being from the Q&A session after one of my Jahns Lectures at California State University at Fresno last year.

A student asked me if I had had a break-through moment in my PhD research. I told him I had – it had been a moment of “soul-soaring elation”. That was such an odd, poetic expression to tumble from me, that the geologist audience and I laughed. As was my wont, I may have assigned a “homework” – “Write a poem on the theme of soul-souring elation”. Perhaps I did, perhaps I didn’t – I have forgotten; but I did often scribble poetry on the classroom boards, as the lines came to me.

But I shall never forget the joy, the soul-soaring elation I felt during my breakthrough research moment in 1994. See if you can feel it too…

I was measuring the sizes of blocks in Franciscan Complex melanges from photographs and maps then plotting histograms of the sizes. Histograms are graphs of the numbers of somethings of certain sizes: in this case the number of blocks that fell into “bins” or “classes” of ranges. My measurements ranged form millimeters to kilometers – seven orders of magnitude (or the largest measurements were 10 million times larger than the smallest measurements.) It is really impossible to show the data on conventional graphs so I switched to logarithmic plots. The plots thus became “log-histograms”.

When plotted as log-histograms much of the data assumed neat order – steeply peaked curves marched nicely across the graph paper, looking very similar. Indeed: the block size plots (we call them block size distributions) are “self-similar” meaning that if you do not have some wany to knpw the scale there is no real way to tell them apart. The plots are also “fractal” which basically meant the same thing. Fractal mathematics is pretty cool stuff and very sexy in geology. But I am not a mathematician and you likely are not either, so let’s skip ahead…

The plots were so invitingly similar that I gnawed at to collapse the plots some more, I tried dividing all the block size data by the square root of the area of the photo or map containing the individual data sets. Doing that was pretty easy- I just worked my way through the exercise using Excel.

When I hit the Excel graphing button , up came all the data, collapsed into one fluffy big plot, with many colored symbols, organized into a constellation of datapoints that all together looked just like the individual plots. That was a thrilling moment, seeing the constellation on my screen; an amazed moment of “Holy shit! – look at that!” – which is what “soul-soaring elation” is, expressed in (my) words.

I had stumbled upon the “scale-independence” of the block-size distributions of the Franciscan Complex melanges I had measured. It did not matter at what scale, it seemed that the melanges would always have a similar-looking block size distribution. In practice that meant many, many small blocks and a decreasing number of larger blocks.

The collapsed plot gave me the insight to come up with a way to answer the pesky question “If there are seven orders of magintitude of block sizes, then what is block and what is matrix?” The answer: “It depends on your scale of interest”. That is not a throw-away answer; it has significant implications in engineering – I have written about that significance. The findings also provided a solid justification for the work of my research partner, now-Dr. Eric Lindquist. Eric was working on relatively small physical models of melanges in the laboratory. Since our joint problem was the characterization of melange under a dam, one valid critique could be: “What is the validity of laboratory results based on small models to the real-world behavior of a full-scale dam and its foundations?” The answer was that the small-scale laboratory melanges were actually much more like scale models of real conditions than is generally found in geotechnical engineering.

Not all PhD researchers have the same soul-soaring elation, the same “Holy shit!” moment that I had. So I consider myself lucky and privileged. But: maybe that is just me being guilty of self-elation…

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