Welcome! Modern Nomograms offers eye-catching and useful graphical calculators uniquely designed for today's applications. If you appreciate these ingenious creations of earlier mathematicians, and if you want to revive these instruments and use them today, you have arrived at a singular destination. If you have any questions at all about us and our products, please email ron@myreckonings.com.

 

What is a nomogram?

A nomogram is a graphical calculating device, a two-dimensional diagram designed to allow the approximate graphical computation of a function. The field of nomography was invented in 1884 by the French engineer Philbert Maurice d’Ocagne (1862-1938) and used extensively for many years to provide engineers with fast graphical calculations of complicated formulas to a practical precision. Each variable is marked along a scale, and a line drawn through known scale values (or a straightedge placed across them) will cross the value of the unknown variable on its scale. Nomograms serve a dual purpose: they allow nitty-gritty fast computation—answers in the form of unambiguous numbers—and at the same time provide tremendous insight through the relationship of the various scales, their labeling, limits, and gradations. The better nomograms are self-documenting. They provide a visual model of a system and manifest a wonderful ability to imply interrelationships and cross-variable sensitivities. As the mathematician and computer scientist Richard Hamming remarked, "The purpose of computing is insight, not numbers." The three of us have significant backgrounds in computer software—we welcome new technologies and are certainly not Luddites. We all have graduate degrees in physics and have professional backgrounds. One of us has written a respected book on software development, another a book on advanced algorithms for mental calculation, and another a number of scientific journal publications. We maintain websites with technical information on nomograms (see below), and we have published journal articles on nomography (one example is found here, but also see our Bayes' Theorem article below). We recognize well-designed nomograms as tools that can be very useful, enlightening, and easy-to-use in many applications. In that regard, we have prepared a light-hearted comparison of mathematical solution by nomogram vs. computer that you may enjoy reading here.

Applications of Nomograms Medical diagnostics. Ballistics calculations prior to fire control systems, where calculating time was critical. Machine shop calculations, to convert blueprint dimensions and perform calculations based on material dimensions and properties. These nomograms often included markings for standard dimensions and for available manufactured parts. Statistics, for complicated calculations of properties of distributions and for operations research including the design of acceptance tests for quality control. Chemistry and chemical engineering, to encapsulate both general physical relationships and empirical data for specific compounds. Aeronautics, in which nomograms were used for decades in the cockpits of aircraft of all descriptions. As a navigation and flight control aid, nomograms were fast, compact and easy-to-use calculators. Operations Research, to obtain results in a variety of optimization problems. Engineering work of all kinds: Electrical design of filters and transmission lines, mechanical calculations of stress and loading, optical calculations, and so forth.

 

For more information on nomograms

Our team has an unparalleled experience in the design of nomograms. For more information on nomography, read this introductory essay and visit our sites on the Internet:

• SCAN - An overview of nomography and some new designs.
• Dead Reckonings - A blog offering several essays on the history of nomography.
• PyNomo - Sophisticated software for designing your own nomograms, with examples.
• NomoGraphics - A site for commissioning nomograms, including iPad apps as well as custom slide rules.

 

Nomograms for Hollow Helical Springs

The nomograms for Maximum Shear Stress and Spring Deflection that are presented in the paper, Nomograms for the Design of Light Weight Hollow Helical Springs, by William J. Bagaria, Jr., Ron Doerfler and Leif Roschier (to be published) are available for download here.

 

Our Current Offerings

NOMOGRAM POSTERS FOR BAYES' THEOREM CALCULATIONS

Unique circular nomograms were created by our team for calculating statistical outcomes from Bayes' Theorem. This approach is used in a variety of fields, such as medicine, to calculate how the probability of a conjecture changes after a test is performed.

Intuition often fails when interpreting statistical results from Bayes' Theorem when the pretest probabilities are low. A second version of the nomogram shifts the scale values to make it easy to calculate these special cases.

Posters of the nomograms are shown here. More information is provided below them.

NOTE: Prices include shipping for the U.S. and Canada. Prices for shipment to Australia are shown below the tables. For other countries, please email ron@myreckonings.com for pricing before ordering.

An 8-1/2"x11" color poster printed with superior resolution on heavy, 65 lb Wausau Astroparche Premium Cardstock (“Natural” gray color). The front side contains the nomogram for the Common Case scenario (optimized for common pretest probabilities), plus four small nomograms demonstrating the operation of the nomogram. The reverse contains the nomogram optimized for the Rare Case scenario (for very low pretest probabilities). This is often the situation of most value because this is where Bayes' Theorem produces results that can be quite counter-intuitive. Click on the image to see a larger view. There are two ordering options in the pull-down menu below. 8-1/2"x11" Poster Options One 8-1/2"x11" Poster - $5.00 USD Three 8-1/2"x11" Posters - $10.00 USD 100 8-1/2"x11" Posters - $100.00 USD An 11"x17" color poster printed with superior resolution on heavy, 67 lb Exact Bristol Cover (“Ivory" color). The larger size allows the nomograms to show additional scale markings for tight areas at the left and right ends of the horizontal diameter. The front side contains the nomogram for the Common Case scenario (optimized for common pretest probabilities), plus four small nomograms demonstrating the operation of the nomogram. The reverse contains the nomogram optimized for the Rare Case scenario (for very low pretest probabilities). This is often the situation of most value because this is where Bayes' Theorem produces results that can be quite counter-intuitive. Click on the image to see a larger view. There are two ordering options in the pull-down menu below. 11"x17" Poster Options One 11"x17" Poster - $5.00 USD Three 11"x17" Posters - $10.00 USD

Combination Poster Option for the posters shown above

3 Posters of Each Size - $15.00 USD

An 18"x24" color poster printed with superior resolution on heavy (>65lb) stock. The top two nomograms provide individual results for the positive and negative test results for the Common Case scenario (optimized for common pretest probabilities). These are merged into single Common Case nomograms in the posters shown above. The large nomogram at the bottom is optimized for the Rare Case scenario (for very low pretest probabilities). This is often the situation of most value because this is where Bayes' Theorem produces results that can be quite counter-intuitive. Smaller nomograms and their accompanying text descriptions demonstrate the operation of the nomogram. Click on the image to see a larger view. 18"x24" Black Bayes Theorem Poster One 18"x24" Poster - $25.00 USD

Options shown above for shipment to Australia are provided on the right. For other countries, please email ron@myreckonings.com for pricing before ordering.

Poster Options Above Shipped to Australia One 11"x17" Poster - $8.83 USD Three 11"x17" Posters - $13.83 USD One 8.5"x11" Poster - $8.83 USD Three 8.5"x11" Posters - $13.83 USD Three Posters of Each Size - $14.61 USD One 18"x24" Black Poster - $35.00 USD

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Example use of the nomograms by medical practitioners

A doctor knows the prevalence of a particular disease (the pretest probability) is 30%. Treatments have risks, and should be administered only if the patient has a certain probability of having the disease. A diagnostic test having a certain discriminatory power (a likelihood ratio) of 2.8 is run and comes back positive. What is the probability now of the patient having the disease?

The calculation is found by placing a straightedge (such as a ruler or simply the edge of a sheet of paper) on the tick mark for 30% on the pretest probability scale along the bottom half of the circle, and crossing the likelihood ratio scale value of 2.8 on the horizontal diameter. This will then cross the posttest probability scale along the top of the circle at just under 55%, the new probability of the patient having the disease. Sometimes diagnostic tests are characterized by sensitivity and specificity rather than likelihood ratio; a straightedge connecting these values on the inner elliptical scales crosses the horizontal likelihood ratio at its value. The calculation of the posttest probability then proceeds as before. Including negative test results, a complete set of 10 variables of Bayes' Theorem calculations are embedded in this nomogram for easy solution.

The Rare Case nomogram’s scales show very graphically that to have higher multipliers (likelihood ratios) of the pretest probability, you need to have increased specificity rather than sensitivity. That is, once you get to a certain point it doesn’t help much to make the test more sensitive—you must find a test that is more specific. Being able to visualize that difference on the Rare Case nomogram is an example of the better “feel” you have for what’s going on with a graphical calculator—more than you ever could by punching numbers into an app.

DOWNLOAD our article on Bayes' Theorem and these nomograms

Our article on Bayes' Theorem, with instructions on using the nomograms, has been published in the UMAP Journal:

Marasco, J., Doerfler, R., and Roschier, L. 2011. Doc, What Are My Chances? The UMAP Journal 32 (4): 279—298.

A PDF of this article can be downloaded from the link below. Please read and respect the copyright notice below from COMAP, the publisher of the UMAP Journal.

Doc, What Are My Chances?

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