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Inequality by Design

Inequality by Design is a astronomy 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 Inequality by Design rather than just read about it. In short: Inequality by Design: Cracking the Bell Curve Myth is a 1996 book by Claude S. Fischer, Michael Hout, Martín Sánchez Jankowski, Samuel R.

Inequality by Design — main illustration
Inequality by Design — illustration

Key takeaways

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

Reference excerpt

Inequality by Design: Cracking the Bell Curve Myth is a 1996 book by Claude S. Fischer, Michael Hout, Martín Sánchez Jankowski, Samuel R. Lucas, Ann Swidler, and Kim Voss. The book is a reply to The Bell Curve (1994) by Charles Murray and Richard Herrnstein and attempts to show that the arguments in The Bell Curve are flawed, that the data used by Murray and Herrnstein do not support their conclusion and that alternative explanations (particularly the effects of social inequality) better explain differences in IQ scores than genetic explanations.

The Bell Curve and social inequality The book's particular focus is the book The Bell Curve, but to some extent, this focus is to illustrate a doctrine that the authors attempt to refute:

At its base is a philosophy ages old: Human misery is natural and beyond human re-demption; inequality is fated; and people deserve, by virtue of their native talents, the positions they have in society. From that ideological base, Herrnstein and Murray build a case that critics cannot simply dismiss out of hand. Fischer et al. contend that Herrnstein and Murray's data explain, at best, only a limited amount of social inequality in the United States (between 5% and 10%) and that the analysis of the data in The Bell Curve is itself flawed.

Subordinate ethnic groups In later chapters, the book examines the supposed lower intelligence of a variety of ethnic groups in different societies and time periods. The book claims that ethnic groups placed in a subordinate role in the caste system (or caste-like system) have poor school and test performance.

subordination means material deprivation for students, which in turn impairs their achievement; two, subordination usually involves group segregation and concentration, which, by multiplying disadvantage and drawing all group members into difficult learning situations, undercuts academic achievement; and three, subordination produces a stigmatized identity of inferiority, which in turn breeds resignation or rebellion, both of which limit academic achievement. The histories of African Americans and Latino Americans, as well as their current conditions, more than suffice to explain why their members tend to score lower than whites on tests and also why they do less well in the race for success. The American case fits the global pattern; it is not genes but caste positions that explain the apparent differences in cognitive performance. Notable examples of such groups include Koreans in Japan compared with Koreans in the United States, and the supposed change in perception of Jews in the United States from being regarded as "dull" in the early twentieth century to being regarded as part of a "cognitive elite" now.

Reviews Boston Globe, "Studies hit Bell Curve linking of race, IQ books say environment, not heredity, is major determinant of intelligence", May 7, 1996 Author: John Yemma, Globe Staff Civil Rights Journal, September 22, 1997 Author: Carlson, Ken New Statesman, Vol. 125 Issue 4315, "Nurture v nature". 12/20/96-01/03/97 Author: Malik, Kenan [1] Personnel Psychology, Vol. 50, Issue 3, 741-746. "Review of Inequality by design: Cracking the Bell Curve myth, by C. S. Fischer, M. Hout, M. S. Jankowski, S. R. Lucas, A. Swidler, & K. Voss. P." Date: 1997. Author: Gottfredson, Linda Journal of the American Statistical Association, Date: March 1, 1999 Author: Sconing, James

External links Inequality by Design: Cracking the Bell Curve Myth, Chapter 1 Archived 2008-02-10 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Inequality by Design

Start with the simplest possible case. Write down what Inequality by Design claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Inequality by Design 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 Inequality by Design 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 Inequality by Design

In research
Inequality by Design appears in astronomy 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 Inequality by Design 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
Inequality by Design is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1996 non-fiction books, Books about The Bell Curve, Books about human intelligence, so understanding it makes those chapters shorter.
In everyday life
Look for Inequality by Design 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 Inequality by Design in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Inequality by Design 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 Inequality by Design out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Inequality by Design in simple terms?

Inequality by Design: Cracking the Bell Curve Myth is a 1996 book by Claude S. Fischer, Michael Hout, Martín Sánchez Jankowski, Samuel R.

Why does Inequality by Design matter?

Because it connects several astronomy 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 Inequality by Design?

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 Inequality by Design.

Tags

  • 1996 non-fiction books
  • Books about The Bell Curve
  • Books about human intelligence
  • Princeton University Press books

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