The Slide Rule
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I bought my first slide rule around 1964 (with money I made delivering the Detroit Free Press newspaper every morning before school). It was a bright yellow Pickett like those available on EBay[1]. It was possible to do multiplication, division, roots, trig, exponentials, etc. to just less than 3 significant digits of accuracy. If this wasn't enough accuracy, I had to recast the computation as addition or subtraction of logs from log tables, which could with some interpolation yield around 6 significant digits of accuracy.
I just recently pulled out my old slide rule to show my accountant how they worked.
At MIT I saw circular slide rules, and some of my fellow students used them (more accuracy on the outer scales, less on the inner most scales). The most interesting slide rules I've seen are cylindrical. The scales wrap around the cylinder in a helix and are much longer giving an extra digit or two of accuracy (but requiring more mental work on the user to figure out which reading of the cursor to use because the cursor was parallel to the axis of the cylinder). See [2]
By the time I was finished using my slide rule, I'd started working with computers. Even today, I have a fancy overpriced TI calculator that just sits in a drawer. I'd much rather fire up a Python REPL to do most calculations.
[1] https://www.ebay.com/itm/VINTAGE-1959-PICKETT-DUAL-BASE-SLID...
[2] https://ocw.mit.edu/courses/edgerton-center/ec-050-recreate-...
As you say, they not only build strong intuition about logarithms, but also help teach about working precision, etc.
Handheld electronic calculators should be banned as having almost no pedagogical value. In general assigned problems should be conceptually more challenging but should have simpler numerical values. Anything that needs more calculation than that should be done on a computer with a real keyboard and a real programming language.
In primary/middle school, counting boards (like those used in ancient civilizations or medieval Europe) should be used much more than they currently are. Experimenting with these tools is great preparation for thinking about how computers store and manipulate data.
For example if you have a recipe calling for 150 g of butter, but you want to use all of your 250 g, you can just align 150 and 250 on the slide rule, and then read off the correct amounts of the other ingredients, without ever touching the slide rule again. No multiplication performed.
I understand people don't use slide rules for more things, but I'm baffled they aren't considered standard kitchen equipment, in one shape or another.
They just make the calculation more "real" and I feel like I'm actually working out the problem instead of just punching numbers into a thing that gives numbers back.
(My wife, who is from Finland, thinks the measuring system is insane. At least now I'm good at estimating conversion from F to C.)
What a strange way of cooking. I'm not saying it's bad, just that typically people cook for a result (I want to make X servings) not a reason (I want to eliminate all of the butter in my house).
I guess it also makes more sense for baking than cooking.
All ingredients move together in ratios (got that, totally understand) so I understand HOW this work. What I was commenting on was WHY someone would cook this way. Again, I'm not saying it's wrong, it's just a problem I've never encountered. If I only used 150G of butter and had 100G left, then I have 100G of butter for whatever else I'm cooking.
I'm sure scenarios can be presented for why this is a problem that needs solving (storage space, product expiring, etc) it's never been a way I personally did things.
Basically, the reason is, I want to make as much as possible of something from the ingredients I have. Just find the constraining ingredient, calculate the ratio, and you're set.
Again, clearly this is some kind of a thing some people do, I just don't tend to cook this way apparently.
I don't cook things without purpose/specific goals. I'm cooking to make enough for the people I'm expecting.
That's not to say it doesn't make sense, just not how I've tended to see things cooked.
- If it's something that can be reasonably divided among guests (such as a soup or something similar), then I eyeball the portions so they're all approximately even. Optionally, if there's an ample amount, you can simply let people decide how much they want through self-service.
- If it's something that's demarcated by physical objects (e.g. dinner rolls, cupcakes, etc), then you have a few other options: Leftovers to save for later, split them among people who want extra, or give them away to whomever wants them.
I don't know about the OP you're replying to, but I rarely divide a recipe up based on expected portions since portion size is highly variable. Should I have extra left over, then I deal with that accordingly. If I'm cooking to get rid of an ingredient, I don't particularly care if I miss the mark by a few portions provided I have enough in the first place for the objective.
(The other problem is that portioning in this question seems to me to assume that all guests are equally hungry.)
Let's do this as a math problem.
How I tend to cook: Xbutter + Ysugar + ZFlour = 20 Cookies.
How OP is cooking: 2 butter + Ysugar +ZFlour = X
We're setting different known quantities (him butter, me portions) and then solving for the rest. They're fundamentally different approaches in cooking philosophy. And again, neither is "wrong" I just found OP's style to be novel enough to comment on
I just round & then convert in my head though. (Eg 30/220 ~ 15% = a tenth + half a tenth).
Of course, this only works if you don't mind having too much food. I like leftovers (I get to eat without having to cook!) so it works for me.
Throwing a spanner into the works, just for fun:
In India (and probably some other countries), cooks often don't measure out ingredients for dishes [1]. They just wing it / use their experience [2] (called andaaz in Hindi/Urdu). And the results are often or mostly good (except with bad cooks, of course).
[1] I guess that approach works for all countries, except individual cases where people blindly follow formulas to the letter.
[2] Of course, they are not flying blind, they use rough (or precise enough) estimates, that are based, again, on their experience, and on just seeing what amounts of what stuff (whether it is pinches, grams, ounces, kilos, pounds, or whatever), makes for a good dish.
That's a whole different style of cooking, and most people don't get there until well AFTER they learned how to cook something with a recipe (or someone telling them how many handfuls of beans to add to the pot).
As an early millennial I'd never ran into this 17th century marvel called slide rule. When I asked the instructor how it works (rather than how to use it) he answered along the lines of "don't ask, it just does".
The first pocket scientific calculator was the HP-35 in 1972 (costing about $2,500 in today's dollars). Within 3 years, at least for most university engineering programs in the US, slide rules were completely gone. [That's incredibly fast.]
Thanks for the article. My grandfather was an accountant who preferred the slide rule to a calculator. I grew up with slide rules around me, and never could understand the logic.
Another tool lost in the past generation is the Abacus (here is a great story with Feynman[1]) and I would love more info as to how those compared in logic or use, if anyone can shed insight.
This is hard for me to understand. Slide rules are inherently imprecise, in the same way floating point calculations are imprecise but much moreso. I'd expect an accountant to prefer integer (fixed point) math for the same reason banks do now.
And not particularly good for addition.
I doubt that very much. Do you have a photograph?
I used to collect slide rules. I have never seen one with a linear scale, and I can't find any evidence on the web that any such slide rule was ever manufactured. So if you can provide evidence that you possessed such a slide rule, that would be of significant historical interest.
”Example: calculate 0.23 + 0.45
- "Reset" the rule so that all the scales are lined up.
- Move the cursor to 0.23 on the L scale.
- Move the leftmost 0 on the L scale to the hairline.
- Move the cursor to 0.45 on the L scale.
- Reset the rule again so that all the scales are lined up.
- The cursor should now be at 0.68 on the L scale, which is the sum of 0.23 + 0.45.”
(from http://www.antiquark.com/2005/01/slide-rule-tricks.html)
Using a sledge hammer, break the slide rule into N pieces, taking care to insure that N is greater than the sum you wish to compute. Now to compute the sum of A and B, count out A pieces into a paper bag, then count out B pieces into the same paper bag. Now empty the bag onto a clean workspace and count the total number of pieces to produce the result.
https://www.mrao.cam.ac.uk/~steve/astrophysics/webpages/baro...
(Google gave me http://demonstrations.wolfram.com/AdditionSlideRule/, but not an example of using normal rulers to make such a slide rule)
Oh, come on. I'm not talking about a home-brew slide rule or a virtual slide rule simulation. Obviously it is possible to make those. I'm talking about an actual manufactured slide rule sold as a product and used in a working environment to perform addition.
In general slide rules aren’t used for addition because 3-digit addition is very fast to compute mentally or using pen and paper.
Or non-white ones.
(Just finished Mary Robinette Kowal's excellent "Lady Astronaut" books, and they are a fascinating retro-history of a timeline that fought to get to Mars faster than ours, and an interesting part of that success was getting more Computers in space, but by that it was meant women and people of color that could use a slide rule and do important math quickly in a crisis.)
The term "Computer" long predated mechanical computers, by centuries. https://en.wikipedia.org/wiki/Human_computer The earliest "computer" jobs tended to exclude women due to sexism.
This photo shows an example of a human computer team that is mostly men (but may have a higher proportion of women than other technical teams in the larger organization) https://en.wikipedia.org/wiki/Human_computer#/media/File:NAS...
You're more likely to find women and PoC in "computer roles" than in scientist/engineer roles because they tended to be shut out from higher-level roles they may have been qualified for, leading to an oversupply of their demographic at the lower levels. And those overqualified women/PoC have more notable stories than the non-overqualified women and men in those roles.
Whatever the ratio of "over-qualified" human computers were at the time, it was still a non-zero number, and it is useful to remember those "notable stories". Even the "non-over-qualified" members not "notable" enough for memory weren't machines, and you can't claim they had no impact outside of "pure mechanistic tasks"; certainly there was a lot of under-appreciated QA/QC work and inter-personal labor that got shifted around over the years. Any loss of a workforce to automation isn't just "mere" obsoletion, because people aren't machines, and it is good to remember that (conflation, overlaps, or not). Especially for a word like "computer" as opposed to "dishwasher" where we practically never have a reason to "human compute" today, to pull out slide rules and step through some math. (There are still human dishwashers in major restaurants; we still have dishes in our homes that we manually wash in addition to machine washing.)
I believe it's an IBM 604 Electronic Calculating Punch. This box was programmed with a plugboard and did BCD addition, subtraction, multiplication and division. It was built from 1100 vacuum tubes.
It wasn't a computer in the modern sense. It read data from a card (the box in front is the card reader), ran through up to 60 steps of calculation, and then punched the result onto the same card, at the rate of 100 cards per minute.
This system was introduced in 1948 and rented for $645 a month (about $5500 in current dollars).
More info: http://www.columbia.edu/cu/computinghistory/604.html
http://www.uvm.edu/pdodds/files/papers/others/2006/stoll2006...
And a way to make your own sliderule:
https://static.scientificamerican.com/sciam/assets/media/pdf...
The article has the same IBM ad and says it's from 1953.
https://www.youtube.com/watch?v=Kuzdjy3HpWg
I think they were made into the 80s.
What was the name?
https://en.wikipedia.org/wiki/Nomogram
A Python package for it:
https://upload.wikimedia.org/wikipedia/en/a/a5/Risk_Based_Sa...
I had some fun drawing lines and seeing how each factor influenced the chain of isopleths.
This page has a great collection of them: http://www.mathsinstruments.me.uk/page66.html
That search term also pulls up a ton on ebay.
Studying it, I realized that, once set, it shows the multiplication of the whole continuum. In other words, a given setting of the rule to some n shows nm for all m. (Actually all mnEk for all m and k.)
Some slide rules are circular or tubular.
See also: https://en.wikipedia.org/wiki/Nomogram
> In 1675 Sir Isaac Newton solves cubic equations using three parallel logarithmic scales and makes the first suggestion toward the use of the cursor.
> In 1677, two years after Newton invents the cursor, Henry Coggeshall perfects the timber and carpenter's rule. Newton's cursor fails to catch on at the time.
He didn't start with that hypothesis, he came to it after multiple tries at fitting other models like an equant (an offset circle with angular speed controlled from the opposite offset, which is actually a good first-order approximation to the Kepler-law motion at small eccentricity).
> Only after repeating his procedures 70 times did he offset his computational errors. With a little less patience, he wouldn’t have proved his theory, and elliptical orbits would have eluded us for longer.
I skimmed the paper, and it seems to be about Kepler fitting an equant instead of an ellipse. Apparently he used an iterative method, stopping after 70 iterations? And his numerical errors seem to be responsible for it not converging faster. That makes more sense to me than my misunderstanding that you were saying he ran through the whole calculation from the start 70 times. I jumped to a conclusion about that part, and I'm sorry.
Julian Barbour's The Discovery of Dynamics explains what Kepler did in detail (it's not the whole topic of the book, but a big chunk of it). A great book -- I didn't really appreciate Kepler before reading it. Both brilliant and very human.
Actually, ThinkGeek made a production run a couple years back (though I guess I don't know that they were US-made). Doesn't seem to still be on their website, but I have one so it definitely existed. https://www.amazon.com/ThinkGeek-Slide-Rule/dp/B003M5B84C still shows a listing.
I'd be interested if someone made a new good slide rule. And not just slide rules--there are at least a couple of other older computing devices I'd like a good quality working replica or reproduction of.
1. A Curta calculator. https://en.wikipedia.org/wiki/Curta
2. The Antikythera mechanism. https://en.wikipedia.org/wiki/Antikythera_mechanism
https://www.youtube.com/watch?v=j9uRckJLqLk
A 3:1 scale replica of the Curta, 3D printed.
The article notes that Marcus Wu has published a printable 3D model of a curta (at 3:1 size due to printer precision issues, though there are comments about people attempting 2:1 builds). You can also find actual curtas on ebay, though they're not cheap ($500~$1500 depending on condition and the like).
We did still use log tables at college in the late 70's early 80's though the course I was on still had belt drive's in the syllabus - yes the dawn of the industrial revolution type belt drives that ran factories in the 18th century
This is bit surprising to me. Does it imply that slide rule production had shifted to other countries, or did it really fall out of fashion so very rapidly? For reference, HP-35 calculator was released only in 1972 (for launch price of $395), and TIs competing SR-50 ("slide rule calculator") in 1974 (at $170). I would expect slide rules to be significantly cheaper and fairly entrenched (especially in colleges etc), so being killed in only few years is remarkable if true.
I wouldn't be surprised if the quote is accurate.
They were killed off pretty quickly though. When I started college in fall on 1975 I got a TI scientific calculator which was somewhere around $100-$200. (It was required.) Prices were in sharp decline. A five function TI calculator was about the same price the year before. A year or two later an older HP model (which were higher-end calculators) was also about the same amount.
Calculators were fairly expensive at first but remember that slide rules weren't useful for adding and for a lot of calculations anyway. [They're not precise enough for everything.] So once engineers, in particular, switched to calculators, there wasn't much of a market for slide rules.
Now the error: In the paragraph beginning "By converting numbers into their logarithm", log(4)=2 should be log2(4)=2 - it's been a while since I was in mathematics academically, but isn't it a necessity to show the base of the log if it's not 10?
The article says: "In the world of 2s, log(x) tells you how many times you have to multiply 2 by itself to get x."
Which base gets to be special depends. Log on its own often means base e; sometimes base 10; and sometimes base 2 (and sometimes 'base whatever, it's not important')
This article would be better if showed the base in its notation, but for the most part the bases are determinant in context of each paragraph, and that's roughly par for the slide rule course.
My primary use for logarithms today is verifying how many bits an intermediate calculation is going to need on a calculator without base-2 logs. The base conversion algorithm doesn't care what intermediate base you use as long as they match: bits ~= log2(x) == log10(x) / log10(2) == ln(x) / ln(2).