LWers try to figure things out from relatively simple principles
If you only do this you are going to fail. This is why Aristotle got physics so badly wrong, right? Reasoning has to be a cyclical process of compressing complex realities into sets of simple principles and only then are you licensed to decompress those principles into making statements about reality.
Addressing common misconceptions is worthwhile, and lists are a good way to do it. You can find similar lists in the academic literature for many different subjects, e.g., here's an article about common misconceptions in thermodynamics. I've also mentioned math books listing counterexamples before. Many counterexamples address common misconceptions.
I like to create Anki cards for common misconceptions, to make sure I don't makes these mistakes myself. One issue with this is whether correcting specific cases causes my brain to recognize a more general case....
So while many of these false beliefs are worth noting, it's worth thinking why programmers make these mistakes in practice. While it might be the case that names can include numbers, it's probably also going to be the case that the majority of numbers get into names via user error. Depending on the purpose of your database, it might be more valuable to avoid user error, than avoid a minority of users being excluded.
The reason I mention this is a lot of things in life are a study in trade offs. Quantum mechanics isn't very good at describing how big things work, and classical mechanics isn't very good at describing how small things work.
Weirdly, there is no list of falsehoods programmers believe about html (or at least a fast search didn't turn anything up).
A lot of programmers believe they can parse HTML with regular expressions.
From Falsehoods Programmers Believe About Names:
anything someone tells you is their name is — by definition — an appropriate identifier for them.
There should be a list of false things people coming from common law jurisdictions believe about how choice of identity works on the rest of the globe.
Sometimes a user puts something in a "name" field that they do not actually intend to be used to identify themselves.
They may be trying to get that string displayed to other users in a highlighted fashion. If someone puts "Wal-Mart Sucks" in the name field on a blog comment, it isn't because they seriously want to be identified by the surname of Sucks. They're just saying that Wal-Mart sucks, in a dramatic way.
They may be trying to break the system in one way or another. If someone puts their name as "Robert'; drop table students; --" then depending on the social and technical context they might be giving themselves a clever alias; or they might be trying to attack the database.
I think it's worth noting that, yes, if you want your database of names/addresses/times/etc. to be fully robust, you need to essentially represent these items as unconstrained strings of arbitrary length (including zero).
However, in practice, most likely you're not building a fully robust database. For example, you are not solving the problem of, "how can I fully represent all of the marvelous variety of human names and addresses ?", but rather, "how can I maximize the changes that the packages my company is shipping to customers will actual...
Also, there is a place where the sun rises in the west and sets in the east.
(Gur fha evfrf orpnhfr bs gur Rnegu'f ebgngvba, ohg rira va gur nofrapr bs gur Rnegu'f ebgngvba vg jbhyq evfr naq frg bapr n lrne orpnhfr bs ubj gur Rnegu'f nkvf cbvagf. Vs lbh ner pybfr rabhtu gb gur Abegu Cbyr, gur ebgngvba unf artyvtvoyr pbagevohgvba gb gur fha'f evfvat naq frggvat naq gur fha evfrf naq frgf cerggl zhpu bayl orpnhfr bs gur nkvf. Tb gb gur Abegu Cbyr, frr jurer gur fha evfrf, naq tb njnl sebz gur cbyr n fubeg qvfgnapr va n qverpgvba fhpu gung guvf cbvag vf gb gur jrfg.)
A problem of believing something wrong could also be a problem of classification or problem of language. There is so much lost in translation and as far as a programmer is concerned they deal with a very formal language. So they are not as good at informal languages and nuances.
I'm not a programmer, so my view may be a little bit skewed.. but this seems like a list of things that may or may not be correct (and I'd like to put things in a continuum, or percentages, or some other more practically observable other than a list) but it doesn't really get any further than that. How substantial many of the claims are?
I honestly doubt "programmers" get all these wrong. I'm not going to link to a post (I've seen some people replying with a post as if it's a substitute for actually saying what's wrong) or even say that "prog...
Could you turn the tracking links into direct ones?
Well, as it happens, the only example personally known to me at present of someone who contemplated getting a job and changed their mind because of the impact on benefits
Unless you regularly interact with the type of people who live in underclass ghettos, or the class of people sometimes called "white trash", it's not surprising that you personally haven't met people like this.
(Famous examples: "Abstinence-only" sex ed in schools doesn't stop kids having sex, but it does make them more likely to get pregnant when they do. Restricting the availability of contraception increases the incidence of abortion and single-parent families, both of which the opponents of contraception usually say they're more strongly opposed to.)
Setting aside the validity of these examples, I note that none of them are actually examples of incentives.
Let's continue that discussion when you're prepared to engage seriously with what I'm saying.
I am engaging seriously. I merely applied your epistemology to a slightly different domain and suddenly it becomes clear how silly it is.
OK. So if a trans person's brain structure, personality, behaviours, etc., were found to be nearer typical-female than typical-male, would you then consider them something other than deluded/hallucinating/bullshitting? What sort of differences in brain structure would be most relevant? (Brain structure is kinda hard to explore, beyond the very coarsest features; what if we couldn't tell about brain structure but their personality and behaviours were "more female than male"?)
Frankly, I have a hard time believing that something would mess up the development of precisely the sexual characteristics expressed in the brain.
Unless you regularly interact with [...]
Could you briefly describe your own interactions with that segment of the population?
I note that none of them are actually examples of incentives.
I'd say they're about as much so as your example of alleged-rape-victim policy. (E.g., if you teach teenagers that they must be sexually abstinent and make it clear that any sexual non-abstinence is disapproved of, you intend to give an incentive not to have sex, but you also give an incentive not to have contraceptives, and then when other deeper-rooted incentives l...
There are some long lists of false beliefs that programmers hold. isn't because programmers are especially likely to be more wrong than anyone else, it's just that programming offers a better opportunity than most people get to find out how incomplete their model of the world is.
I'm posting about this here, not just because this information has a decent chance of being both entertaining and useful, but because LWers try to figure things out from relatively simple principles-- who knows what simplifying assumptions might be tripping us up?
The classic (and I think the first) was about names. There have been a few more lists created since then.
Time. And time zones. Crowd-sourced time errors.
Addresses. Possibly more about addresses. I haven't compared the lists.
Gender. This is so short I assume it's seriously incomplete.
Networks. Weirdly, there is no list of falsehoods programmers believe about html (or at least a fast search didn't turn anything up). Don't trust the words in the url.
Distributed computing Build systems.
Poem about character conversion.
I got started on the subject because of this about testing your code, which was posted by Andrew Ducker.