### A Gigabunch of T-Rex

May 31, 2021

Everyone has heard the statement that "There are three kinds of lies: lies, damned lies, and statistics." The origin of this saying is unknown, but it was popularized by Mark Twain (1835-1910) and often falsely attributed to him. It does sound like something that Twain would say. Scientists would object to having statistics conflated with falsehood, since statistics are so important in the practice of science.

Scientific Knowledge comes from experiment, but experiments are subject to observational errors, instrument calibration errors, and occasionally by a scientist's selection bias. However, data analysis using statistics and regression analysis can coax a reasonable result from noisy experimental data.

Statistical analysis benefits from many observations, since the deviation from the mean value scales as the square root of the number of measured values. An unfortunate consequence of this law is that you get just three times more precision in a hundred trials over ten. Most importantly, statistics are not robust against bad data, so scientists need to design experiments to produce data that are relatively free from interfering variables.

Victorian polymath, Francis Galton (1822-1911).

This photograph shows that Galton was clearly an egghead, a term for an intellectual with a high forehead, although he would more likely be called the less pejorative term, boffin, in his native country, England.

Adlai Stevenson II (1900-1965), who had the unfortunate experience of being defeated in landslide voting twice in a US presidential election by Dwight Eisenhower (1890-1969), was called an egghead by Richard Nixon (1913-1994), who ran as Eisenhower's Vice President.

(Wikimedia Commons image, modified for artistic effect.)

A I wrote in a recent article (Educated Guessing, December 7, 2020), you can use statistics to extract knowledge from opinion, a phenomenon called the "Wisdom of the Crowd." This was demonstrated in 1906 by the Victorian polymath, Francis Galton (1822-1911).[1] Galton observed a contest at a livestock fair in which 787 visitors guessed the weight of a particular ox.[2] Although there was a wide range of estimates, the mean of the 787 guesses was within a pound of the actual weight, 0.1% of the actual value.[2]

Ornithologists have cataloged bird species for centuries, and the question arises as to how many bird species exist. Statistics can easily address this problem, as shown in the figure below in which I've graphed the fraction of total discovered species as a function of year. While Charles Darwin (1809-1882) discovered many new species of finches on the second voyage of the HMS Beagle in 1837, it's rare to find a new species today. The red line is a fit to the statistical error function, and selecting a future date will tell us how difficult it would be to find a new bird species.

Fraction of total discovered bird species as a function of year and an error function fit.

The fitted function is (1+erf(((year-1845)/60)))/2, and using 2021 as a date shows that 99.998% of bird species have been cataloged. Any species found now is a rare bird indeed.

(My data was from ref. 3, which now has link rot of its figures, but I saved an image of this important figure. Graphed using Gnumeric)

One of the most interesting statistical arguments about species is an estimate of human extinction. This so-called Doomsday argument is not based on the likelihood of bad things happening - It merely looks at the numbers. The estimate by Princeton University astrophysicist, John Richard Gott III (b. 1947), is that humanity has a 95% probability of lasting another 5100 - 7.8 million years.[4]

The argument is based on an extension of the Copernican principle, that man does not have a favored position in the universe, to the idea that man doesn't have a favored position in time. This means that our present population is at a random position on a bell curve of time. This estimate has a very large range, and the low estimate is quite a bit shorter than the quarter of a million years that humans have already existed. The argument is controversial.[5]

One interesting statistical law in population ecology is the relationship between an organism's mass and the number of its individuals known as Damuth's law. This law quantifies the observation that the population of small animals is larger than that of larger animals; viz., there are many more mice than elephants.[6] Damuth's law is simply expressed as

in which d is the average density of the population, a is a constant, and W is the average body mass of the organism. As the figure below shows, there is considerable variance in the data. As an example, jaguars and hyaenas are about the same weight, but there are fifty hyenas for every jaguar. The regression r-value is -0.86, which means that the overall trend is correct.

Schematic representation of the data from Damuth's paper.[6]

The shaded area is the approximate range of data values. This is quite a large range, since these are logarithmic scales.

(Click for larger image.)

Estimating the abundance of bird species is one thing, but estimating abundance for extinct species is much harder to do. A team of biologists from the University of California, Berkeley (Berkeley, California) decided to do this for one of the most iconic dinosaur species, the Tyrannosaurus rex, and they used Damuth's law in their analysis.[7-9] The research team was led by Charles Marshall, director of the University of California Museum of Paleontology and a professor at Berkeley.

This is an image by William D. Matthew of the first restoration of a Tyrannosaurus.

This historical image is presently not considered to be an accurate restoration, since the skull shape is wrong, the Tyrannosaurus had two fingers (not three as pictured), and the tail was held level with body.

(Modified Wikimedia Commons image. Click for larger image.)

Fewer than a hundred T. rex fossils have been found since it was first described in 1905.[9] The present study found that about 2.5 billion T. rex individuals existed over the 2-1/2 million year span of their species before extinction, and there were likely about 20,000 T. rex adults living at any one time.[7-8] This calculates to an average population density of about one T. rex for 40 square miles (100 square kilometers).[9]

The present study considers that an average adult T. rex had a weight of 5.2 tons, an average lifespan of 28 years, a generation period of 19 years, and a total number of generations for the entire species' existence at about 125,000.[7,9] The famous T. rex specimen named Sue, on display at the Field Museum of Natural History in Chicago, measures 40-1/2-feet (12.3-meters) in length, with an estimated weight of 9 tons, and a lifespan of about 33 years.[9] The fossil recovery rate is just 1 per about 80 million individuals; and 1 per 16,000 individuals where its fossils are most abundant, which is the Hell Creek Formation in Montana.[7-8]

The study team used Monte Carlo computer simulations to determine how the uncertainties in their data affected the uncertainties in their results.[8] Among the unknowns was how warm-blooded T. rex was.[8] Their estimate was to position a T. rex halfway between a lion and a Komodo dragon, the largest lizard.[8] It's the uncertainty in the density–body mass relationship of Damuth's Law, rather than variance in the paleobiological reference data, that leads to the large overall variance.[7] The 95% confidence interval of the T. rex population is from 1,300 to 328,000 individuals; so, the total number of individuals that existed over the lifetime of the species can range from 140 million to 42 billion.[8] Says Marshall,
"Our calculations depend on this relationship for living animals between their body mass and their population density, but the uncertainty in the relationship spans about two orders of magnitude... Surprisingly, then, the uncertainty in our estimates is dominated by this ecological variability and not from the uncertainty in the paleontological data we used."[8]

Although the uncertainties in the estimates are large, the procedure might be a framework for estimating populations of other fossilized creatures.[8] It's also a way to estimate the number of missing fossil species.[8] As Marshall explains, "With these numbers, we can start to estimate how many short-lived, geographically specialized species we might be missing in the fossil record... This may be a way of beginning to quantify what we don’t know."[8]

### References:

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