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Taeuber Paradox

Taeuber Paradox is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Taeuber Paradox rather than just read about it. In short: The Taeuber Paradox is a paradox in demography, which results from two seemingly contradictory expectations given a population-wide decrease in mortality, e.g. from curing or reducing the mortality of a disease in a population. The two expectations are: Since the disease would have otherwise caused some deaths, there should be fewer deaths if the disease is cured than in the world where the disease is not cured Sinc…

Key takeaways

  • Taeuber Paradox belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Taeuber Paradox to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Taeuber Paradox from memory before moving on to harder problems.

Reference excerpt

The Taeuber Paradox is a paradox in demography, which results from two seemingly contradictory expectations given a population-wide decrease in mortality, e.g. from curing or reducing the mortality of a disease in a population. The two expectations are:

Since the disease would have otherwise caused some deaths, there should be fewer deaths if the disease is cured than in the world where the disease is not cured Since everyone dies eventually, there must in the long run be the same number of deaths, and the deaths will be redistributed among the remaining causes. The paradox was named after Conrad Taeuber (1906–99), a sociologist demographer.

Resolution The paradox is resolved by noting that the life expectancy of the population will increase when the disease is cured, leading to a temporary decrease in the overall death rate before deaths are reapportioned among other causes. Thus, curing a disease will not cause an overall decrease in population mortality, but can improve mortality in certain groups (e.g. at certain ages) within a population, or even across all groups (e.g. all ages) within the populations. Comparing two populations with the same overall mortality while one has lower mortality in each subgroup is an example of Simpson's paradox.

Estimation In the special case where the force of mortality is reduced by a constant fraction X, then the increase in life expectancy can be estimated as X * H * e, where e is the life expectancy before the reduction in mortality and H is estimated as (2 - e / a), where a is the stationary age of the population. As an example, if cancer is responsible for 10% of all deaths at all ages and were suddenly cured, in a population with an expected lifespan of 75 years and an average age of 50 (giving an estimated H of 1/2), we would estimate life expectancy to increase by only 3.75 years (5% of the original life expectancy, rather than the larger 10% increase you might expect intuitively). As of 2005, H was estimated to be around 0.2 and 0.15 for men and women respectively in European and American countries with life expectancy of around 70, a significant decrease from estimates of 0.3 to 0.4 from 30 years earlier, which indicates that now more people live to near their life expectancy, and that a decrease in mortality would now result in a smaller increase in life expectancy. Based on US government estimates using 1989 life table data, eliminating death from all malignant neoplasms would increase US life expectancy at birth by 3.36 years, while eliminating deaths from all major cardiovascular diseases would increase life expectancy at birth by 6.73 years.

See also Sullivan's Index

References

External links Average Life Expectancy In UK

Worked examples

Example 1 — a first encounter with Taeuber Paradox

Start with the simplest possible case. Write down what Taeuber Paradox claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Taeuber Paradox before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Taeuber Paradox ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Taeuber Paradox

In research
Taeuber Paradox appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Taeuber Paradox in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Taeuber Paradox is common in secondary-school and first-year university syllabi. It links to neighbouring topics Demography, Life expectancy, Paradoxes, so understanding it makes those chapters shorter.
In everyday life
Look for Taeuber Paradox outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Taeuber Paradox in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Taeuber Paradox means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Taeuber Paradox out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Taeuber Paradox in simple terms?

The Taeuber Paradox is a paradox in demography, which results from two seemingly contradictory expectations given a population-wide decrease in mortality, e.g. from curing or reducing the mortality of a disease in a population. The two expectations are: Since the disease would have otherwise caused…

Why does Taeuber Paradox matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Taeuber Paradox?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Taeuber Paradox.

Tags

  • Demography
  • Life expectancy
  • Paradoxes

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