|| This explanation may be incomplete or incorrect: Created by TWO UNKNOWNS. We do not yet explain constraint satisfaction solutions performed without work. Do NOT delete this tag too soon.|
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is observing a physicist
, who is staring at some (in the comic unreadable) equations and diagrams on a chalkboard
. White Hat is neither a physicist nor a mathematician
, and seems to glorify those professions. He wishes he understood Cueball's work and "the beauty on display here". People who profess a love for mathematics often cite the beauty they see in pure math, how things work out so perfectly, as the reason they love math.
The joke is that Cueball, the actual physicist, is actually doing something quite simple and relatable: Avoiding hard work. Solving for two unknowns isn't necessarily difficult but can be, depending on how they relate to each other. Cueball clearly thinks it's possible to do but would rather find an easier route. The same could be said about the field of mathematics in general: A proof is beautiful to a mathematician when it's easy to understand and the result is profound when it's useful.
A mathematical problem involving two unknowns could be a system of linear equations which can often be solved on paper, a blackboard, in a spreadsheet with solver functions, or by a computer algebra system such as Wolfram Alpha. Linear equations are a typical kind of more general constraint satisfaction problems, which in turn are mathematical optimization problems, where the minimization of a difference from a goal state (such as that all of the constraining equations are true, for example) indicates the extent to which constraints are met. Sometimes such problem solving activity arises naturally from economic transactions according to, for example, the laws of supply and demand, arising in the general context of civilization and ecology. Problems solved by economics are examples of distributed constraint optimization processes. When economic laws are not sufficiently satisfying constraints, that is a market failure, which indicates that more artificial and manual mathematical work is required, instead of the naturally arising or otherwise automatic methods contemplated by Cueball. Other distributed constraint optimization systems can be crowdsourcing games, such as FoldIt and Galaxy Zoo.
Of the graphic elements on the blackboard, the most distinctive appears to be a pair of wedges from a pie chart, where the radius of the slices is being used to represent another variable than the angles which all pie charts use to represent a primary variable. Since the cartoon is in black and white, the use of color to represent category labels or additional variable can be ruled out. Such black-and-white wedges represent two variables, the meaning of which may be unknown to us, let alone their values. The only distributed constraint optimization game which uses such wedges may be the climate stabilization wedge game from Princeton University. In that wedge game, angles represent a potential number of gigatons of atmospheric carbon mitigation (out of about 38 for the circle) and radius indicates uptake, or the extent to which the mitigation solution is effective. That game is an example of a bivariate optimization problem which might not have to be manually solved by anyone, for example under some specific sets of assumptions about the market in Project Foghorn plants and power-to-gas upgrades for natural gas power plants. If such market-based approaches to distributed constraint satisfaction are successful, then the work in finding the solution would be performed not entirely by physicists and mathematicians, or intentional crowd workers playing a game to achieve the optimal solution(s), but instead in even larger part by unwitting crowdworkers who are simply making their own, ideally self-interested choices regarding their demand for desalinated and potable water, carbon-neutral liquid transportation fuel and carbon-negative sequestration in fiber-reinforced composite lumber, both made from carbonate dissolved in seawater, and for recycling the carbon in power plant flue exhaust for the storage of renewable energy such as off-peak wind power. (See "All Chemistry Equations" in 2034: Equations and 683: Science Montage.)
The title text continues Cueball's thought process, with the possibility of using an equation solver to solve the equations. An equation solver or computer algebra system is a computer program which can be used to solve equations or systems of equations, and is typically not an especially beautiful way to address mathematical problems. Cueball would need to make sure that the equations are entered correctly, with parentheses in the correct places, when inputting them into the solver; again this is an issue far removed from the beauty of mathematics and physics.
- [White Hat is watching Cueball from a couple of meters away. Cueball is contemplating the formulas and diagrams that fills the blackboard he stands in front of. Cueball holds a chalk in his hand. None of the content on the blackboard is readable, but there is a diagram in the shape of a circle and a another pie shaped diagram. Both are thinking with large thought bubbles above their heads, with small bubbles connecting them and the larger bubble]
- White Hat (thinking): Amazing watching a physicist at work, exploring universes in a symphony of numbers.
- White Hat (thinking): If only I had studied math, I could appreciate the beauty on display here.
- Cueball (thinking): Oh no. This has two unknowns. That's gonna be really hard.
- Cueball (thinking): Ughhhhhhh.
- Cueball (thinking): Think. There's gotta be a way to avoid doing all that work...
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This makes me think of my profession (software engineer) - Normie: "Oh wow, that looks complicated!" Me: wires two pre-existing libraries together and calls it a day Baldrickk (talk) 09:39, 26 September 2019 (UTC)
- Image of Blackboard
I was looking at the blackboard and was wondering if there were any Easter eggs on it.
Here is the result of my badly cropped photoshopping skills.
idk if it would help to sharpen the image.
--DarkAndromeda31 (talk) 01:25, 26 September 2019 (UTC)
- The only thing that really jumps out at me are the wedges, as portions of pie charts where radius also controls area, evoking the climate stabilization wedge game from Princeton where the total area of the disk needing to be mitigated is something like 38 gigatons of atmospheric carbon, and the various mitigation solutions have angles representing potential and radius indicating uptake, the proportion of which represents gigatons mitigated as the wedge area. We can offer that game as an example of a bivariate optimization problem which might not have to be manually solved by anyone, if we assume that the local market for surplus potable water, carbon-neutral liquid transportation fuel, and carbon-negative composite lumber for centuries-to-millenia scale sequestration along with wood timber displacement for reforestation represents locally satisfiable economic demand for N shipping containers of Project Foghorn plants and M shipping containers of power-to-gas upgrades for natural gas power plants. That's an example of how a locally market-driven system can solve a bivariate optimization without anyone doing the actual math work in a spreadsheet or otherwise. The economic solution is not necessarily optimal, because even as powerful as the free market can be, it isn't necessarily going to find the bivariate optimums for every point on the planet (although it will likely converge asymptotically in some sense) and defectors such as fossil fuel producers are interested in delaying the optimum solution.
- Is that nontangential enough? 220.127.116.11 20:49, 26 September 2019 (UTC)
- Yes that was far out :-) I'm sure there is nothing interesting hidden in the image. --Kynde (talk) 08:36, 27 September 2019 (UTC)
- Compare the graph at  with that at . When will the latter overtake the former? 18.104.22.168 19:19, 27 September 2019 (UTC)
- Soon one may hope, but that has nothing to do with the drawings on the blackboard...? --Kynde (talk) 21:07, 27 September 2019 (UTC)
- "Soon" lacks mathematical precision. How do you feel about distributed constraint optimization? 22.214.171.124 22:56, 27 September 2019 (UTC)
- P.S. I would also point out that this comic appeared during the Global Climate Strike so I stand by my interpretation of the wedges. 126.96.36.199 19:11, 3 October 2019 (UTC)
Does Wolfram Alpha constitute such a problem solver? Cause both Randall and this site has used it on several occasions. But I have not ever really used such things, and do not know if Wolfram can be used as Cueball thinks about in the comic. But if it could, it could be worth mentioning as a method sometimes used by Randall. --Kynde (talk) 08:43, 27 September 2019 (UTC)
-  is the first bivariate system of equations example. 188.8.131.52 17:51, 27 September 2019 (UTC)
- Is that then a yes to my question? ;-) --Kynde (talk) 21:07, 27 September 2019 (UTC)
- Do you think it's more worthwhile to include a general discussion of avoiding the work of solving for two unknowns than the climate wedges? Why do you suggest that the wedges aren't the only distinctive elements on the blackboard? 184.108.40.206 22:58, 27 September 2019 (UTC)
I only just now noticed that Randall always puts the crossbars on the I in the word "I" and not otherwise. Looking back, he has nearly always done this, even since the first few comics. That's quite a principled yet subtle stance on letterforms. (There are some exceptions, however, such as comic #87, and a period that goes at least from comic #128 to comic #180. I wonder if it would be too typography-nerdy to put them all in a category.) 220.127.116.11 14:47, 27 September 2019 (UTC)
- Those "crossbars" would be serifs, whereas he normally uses a sans serif font. A sans serif would be quicker/easier to write by hand, but he probably realized early on (perhaps subconsciously) that an I by itself without serifs looks too much like a random line or a numeral 1 so he treats the solo I like a special letter, with serifs. -boB (talk) 15:16, 27 September 2019 (UTC)
- Yes so not something for a category! But funny detail. I have no idea where to put this? Maybe in some part of the format of xkcd? --Kynde (talk) 21:07, 27 September 2019 (UTC)
Thank you, person who sees beauty in grammar (Jkrstrt). I thought something looked off when I said "often site the beauty they see" but I didn't catch it until you sighted the error and made it cite instead. -boB (talk) 15:10, 27 September 2019 (UTC)
We need something about the 2014 popularity spike of the phrase "They did the math" with a link to e.g. r/theydidthemath. And ask the Hashtag Research Studies group to figure out the cause of that spike. 18.104.22.168 15:29, 29 September 2019 (UTC)
- This has got to be somehow related to xkcd. But how? 22.214.171.124 20:42, 29 September 2019 (UTC)
In other olds, Google Books says it started in 1988 but won't show me the 1988 book in question. I'm going to work on the drone fishing now. 126.96.36.199 05:31, 30 September 2019 (UTC)
I feel that these deletions were done without sufficient discussion of the rationales for the material given above, leaving the explanation shorter than that of almost all if not all other comics. Whatever you think of the climate change distributed optimization example, there were no objections to the well-documented "they did the math" popularity surge or to the academic references deleted. 188.8.131.52 01:16, 22 November 2019 (UTC)
- How was that even related to the content of the comic? --Lupo (talk) 07:14, 22 November 2019 (UTC)
- Which? The two wedges involving an optimization problem in two variables on Climate Strike Week (a strike being an intentional avoidance of work), or the phrase "They did the math" in relation to "Math work"?
- I intend to replace the deleted material. 184.108.40.206 05:26, 3 December 2019 (UTC)
- Why? please explain how it is relevant/related to the comic or helps in understanding it. The comic is about math being complicated and incomprehensible from outside, while from the inside it is just as complicated when you understand it. The comic does not contain the words "the math" nor does the pie chart or the wedge give any indication of being about anything specific. It is just as likely something about Pizza. --Lupo (talk) 07:24, 3 December 2019 (UTC)
- I have, in detail, above. I have asked famed Bloomberg columnist and fellow economics science communication enthusiast Noah Smith to mediate this dispute. Will you accept him as mediator? 220.127.116.11 12:06, 8 December 2019 (UTC)
- First a personal note: As it seems like we are discussing here, I'd appreciate if you'd create an account here, so that I can link your comments to a single commenter, instead of a changing cloudfare IP adresses. To the topic: I do not deny that a wedge can represent an optimization problem. It can also represent other things. As far as visible from the comic, Cueball could be calculating how much Pizza he has left. Even if it is about an optimization problem, there is no indication in the comic to link this to human-made climate change, apart from the apperance of the comic in climate strike week. If it was a reference to that point, it'd be very (!) subtle. How do you think some spark in the search for some term in 2014, which has a one-word-overlap (and math is the topic of the comic...) with the comic is relevant again? I, again, do not doubt the correctnes of the statements, but only their relevance/connection with this comic. Last but not least: Any registered (and therefore "unique", even though it's easy to register multiple accounts...) commenter may join this discussion, to reach consensus (by the way, I was not even the one deleting it actually). I have never heard of that famed person, nor do I care about his column in some magazine and his enthusiasm about communication. (If he should ever read this, I'd like to repeat myself: I have never heard of him, so it is not meant to disrispect him. He might be a nice guy and very qualified in whatever he writes his column about. He might also be famous to people he is relevant for.) --Lupo (talk) 07:29, 9 December 2019 (UTC)