I find math topics to be insufferable. They are written to be as theoretical as possible and borderline useless if you do not already know the topic at hand.
It's extremely difficult to write math articles for a general audience which are both accessible and accurate, and the number of excellent writers working on Wikipedia math articles is tiny.
Please get involved if you want to see improvement. There are some math articles which are excellent: readable, well illustrated, appropriately leveled, comprehensive; but there are many, many others which are dramatically underdeveloped, poorly sourced, unillustrated, confusing, too abstract, overloaded with formulas, etc.
there are many math teachers teaching math to people who don't know the subject, basically all mathemeticians. and wikipedia has guidelines for how to serve the audience, the math articles ignore it.
I (got into and) went to MIT (and graduated several times) in engineering and also in finance. I am way beyond the average wikipedia reader in math knowledge. the mathematics wiki articles are imho worthless. the challenge is not how to write articles that are explanatory and reasonable, the challenge is all the gatekeeping of the wiki editors who make it the way it is, that is an unreasonable fight. I tried to make a change a couple of weeks ago to correct an error that was in an article. I got reverted by a person who wanted to collaborate on making the article more abstruse as a solution. "but the error" I said. It's still there.
The thing about Wikipedia is that no one cares what you have done outside Wikipedia. It is like showing up at a new work place and saying something that is factually correct, it can go any way.
I have a fair amount of edits on Wikipedia and the wikis that preceded it. Whenever I read this sentiment here I never really understand what the problem is. I never have it myself. The only fight I have been involved in was if Wikipedia should have an article on Bitcoin. Which was not obvious in the beginning.
You could always link to the article and we can have a look. I have no clout on Wikipedia but I do understand why facts can be problematic in any text book. It once took me a week to correct an article about a Russian author.
To give a different opinion, the math topics are actually what I like most. When I'm looking for something on Wikipedia, I want to get a precise definition and related concepts. I don't think it's Wikipedia's job to teach me the material, there's other resources for that.
Absolutely. I do not know the current status, so don’t kill me if now is much better, because is just an example from many. But take fourier series. I remember going into the article, and instead of starting with something lime “helps to decompose functions in sums of sin and cos”, started with “the forier transform is defined as (PUM the integral for with Euler formula) continues: is easy to show the integral converges according to xxx criterion, as long as the function is…” you get the idea. Had I not know what FT is, I would’ve not undestand anything
Articles in biology, from which I understand nothing, are a wall for me. I could never understand anything biology related. Also for example, in Spanish, don’t ask me why, any plant or animal is always under the latin scientific name, and you have to search the whole article to find the “common” name of the thing.
The articles about Fourier series and Fourier transform currently begin with:
> A Fourier series is a series expansion of a periodic function into a sum of trigonometric functions. The Fourier series is an example of a trigonometric series. By expressing a function as a sum of sines and cosines, many problems involving the function become easier to analyze because trigonometric functions are well understood.
and
> In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input, and outputs another function that describes the extent to which various frequencies are present in the original function. The output of the transform is a complex valued function of frequency. The term Fourier transform refers to both the mathematical operation and to this complex-valued function. When a distinction needs to be made, the output of the operation is sometimes called the frequency domain representation of the original function. The Fourier transform is analogous to decomposing the sound of a musical chord into the intensities of its constituent pitches.
I find it the other way around. I remember vividly that the textbook I was using for proving Gödel's first incompleteness theorem was insufferable and dense. Wikipedia gave a nice and more easily understood proof sketch. Pedagogically it’s better to provide a proof sketch for students to turn it into a full proof anyways.
