Rather than argue about the poorly defined need for math to make something scientific, I will give counter-examples that show the these rules don't apply.
Dale said:
In order to have a scientific theory it must be falsifiable. That means that you must be able to make specific predictions about the outcome of experimental measurements whose result will either validate or falsify a theory. This is central to the scientific method. I see no way to do that without math.
Evolution was not a scientific theory in that sense for quite some time after it was developed. When experimental evolution was developed it most certainly used math to make quantitative experimental predictions that were then compared to the measured outcome of actual experiments. It took time for the theory of evolution to reach that point and it is perfectly reasonable to say it wasn't a "real" theory (meaning a scientific theory) until that point.
russ_watters said:
I see no problem with that. Evolution is like "gravity" - it is primarily a name for an observed phenomena in nature. Darwin noticed the phenomena exists and came up with a partial explanation for how it worked. Which is great, but still limited.
Darwin had two different major points in his book.
For those who doubt science can be done without science, The Origin of Species
is a good read, (or
Darwin for wikipedians).
One point was that change in biological forms occurs over time (Evolution occurs and is real).
The other was that an important mechanism driving the changes was natural (or artificial selection (as opposed to drift or other mechanism of evolutionary change in populations)). Providing a mechanism made the existence of the change more plausible.
Although experiments in long term historical sciences are not always immediately rewarded, they did exist, and observations on selection existed, even back then.
In trait transmission to offspring and the ability to modify those traits: Darwin sought out animal breeders whose history and records support both evolution (change of traits in a population) occurring as well as the ability of selection to change the frequency of those traits in a population.
Genetics was not at that time a mature science. Ideas of genes and how they were transmitted from parent to offspring were not clear.
There was no biochemistry.
Cell theory was in the process of being established.
Evolution was based on observations of traits (many which were not well defined either) and analyzing how they changed over time.
Darwin's hypothesis of natural selection was a reasonable mechanism based on what was known to provide a mechanism for evolutionary change.
The most obvious expression of this at his time was the artificial selection "experiments" of breeders.
There were not you modern breeder's records with detailed records of frequencies of traits of each generation so that the quantitative rate of change in a population could be determined.
They were probably more like: this line begot this line and that line by the year 1835 and in turn that line begot this other one after a new variant arose in 1845.
Much can be done with qualitative differences alone.
Darwin drew the first phylogenetic tree and using his awareness of this way of thinking's obvious predictions of common ancestors and their "intermediate" characteristics, predicted the existence of these ancestral species with "intermediate" traits.
This is similar to Mendeleev's predicting new elements in the holes is his table.
A good and seemingly unlikely prediction that takes a while to be fulfilled, but provides strong support if found.
If you are able to generate a seemingly "out of the blue" prediction, even though it may not be formally falsifiable, if found, it demonstrates a great ability for the idea to make valid predictions.
These are predictions that although not (in the short term) of the falsifiable type, but they provide strong support for the source of the prediction.
This is also similar to predictions of new particles by physicists.
They predict some particle with properties in some range of values, build a mega-colilder, and look for positive results.
If its not found there, look at a different energy range.
Keep looking until you find it or perhaps later when you get enough negative evidence that people give up looking, or a different contrary result invalidates the search.
It uses math, but its not invalidation activity.
However, most people would call it science.
An
associated science from that time (which was important to Darwin's thinking), geology did not require much math (except prehaps for mapping purposes).
At that time, the ideas of gradualism were in conflict with the biblically inspired castrastrophism.
Demonstrating the the significance of sedimentary layers, the great age of geological features, and finding features indicative of (as of then unknown) great prolonged forces that change the features of the land were important issues for geologists like Lyell at the time.
The geological stratgraphic record was being compiled at this time. This would result in a series of hypotheses like, what layers should be between A and C on the other side of that hill, compared to what was found there.