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PREDICTIONS – 10 Years Later - Santa Fe Institute

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2. NEEDLES IN A HAYSTACK<br />

MESOPOTAMIA, THE MOON, AND THE MATTERHORN<br />

Learning, discovering, and exploring are activities of similar nature and<br />

are often encountered together, as in the field of archaeology. Archaeologists<br />

dig and analyze in order to learn about our past, at times in<br />

remote places on earth. Mesopotamia is such a distant region, rich in<br />

buried secrets of remarkable ancient civilizations. This itself is no secret;<br />

scholars have been excavating the region for centuries. The rate of<br />

excavations can be taken as a measure of the archaeologists’ interest,<br />

reflecting the amount of knowledge obtained. Treating the process as<br />

learning, it should be possible to forecast the number of further excavations<br />

remaining to be undertaken.<br />

The way to do this is to fit a natural growth curve to the cumulative<br />

number of excavations. The ceiling will define the size of the niche of<br />

knowledge that is slowly being exhausted. I performed this exercise on<br />

the cumulative number of major excavations carried out in that region as<br />

reported by a historical atlas. 4 The curve followed the data closely and<br />

practically reached the ceiling.<br />

Excavations in Mesopotamia began in the middle of the nineteenth<br />

century and grew to reach peak activity during the 1930s. <strong>Later</strong>, the rate<br />

of new excavations in the region slowed. It is a searching process similar<br />

to the one of finding needles in a haystack, and the number of<br />

needles remaining to be found slowly dwindled to a few. The fitted<br />

curve predicts there are practically no more major new endeavors to be<br />

undertaken in that region. By and large, learning from digging in Mesopotamia<br />

has reached a ceiling. Like gold miners who find no more gold,<br />

archaeologists are turning elsewhere for their searches.<br />

The natural growth curve can also be applied to chart the progress of<br />

explorations of the moon. Moon explorations came and went in less<br />

than a decade, leaving behind an S-curve of visits to Earth’s nearest<br />

neighbor. That is what we get if we plot the cumulative number of<br />

American moon missions. The total number of launches to the moon<br />

(both manned and unmanned) is only fourteen, which makes the statistical<br />

fluctuations rather visible. Therefore, one can expect some scattering<br />

of the data points around the curve. For example, the second expedition<br />

came a little too early, while the fourth one was a little late. But on the<br />

average the data points follow the S-curve pattern closely all the way to<br />

the ceiling, (Appendix C, Figure 2.1). The moon knowledge “niche”<br />

57

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