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Words of estimative probability

Words of estimative probability is a mathematics 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 Words of estimative probability rather than just read about it. In short: Words of estimative probability (WEP or WEPs) are terms used by intelligence analysts in the production of analytic reports to convey the likelihood of a future event occurring. A well-chosen WEP gives a decision maker a clear and unambiguous estimate upon which to base a decision.

Words of estimative probability — main illustration
Words of estimative probability — illustration

Key takeaways

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

Reference excerpt

Words of estimative probability (WEP or WEPs) are terms used by intelligence analysts in the production of analytic reports to convey the likelihood of a future event occurring. A well-chosen WEP gives a decision maker a clear and unambiguous estimate upon which to base a decision. Ineffective WEPs are vague or misleading about the likelihood of an event. An ineffective WEP places the decision maker in the role of the analyst, increasing the likelihood of poor or snap decision making. Some intelligence and policy failures appear to be related to the imprecise use of estimative words.

History

Intelligence In 1964 Sherman Kent, one of the first contributors to a formal discipline of intelligence analysis addressed the problem of misleading expressions of odds in National Intelligence Estimates (NIE). In Words of Estimative Probability, Kent distinguished between "poets" (those preferring wordy probabilistic statements) from "mathematicians" (those preferring quantitative odds). To bridge the gap between them and decision makers, Kent developed a paradigm relating estimative terms to odds. His goal was to "set forth the community's findings in such a way as to make clear to the reader what is certain knowledge and what is reasoned judgment, and within this large realm of judgment what varying degrees of certitude lie behind each key judgment". Kent's initiative was not adopted, although the idea was well received and remains compelling today.

Policy and intelligence failures related to WEPs An example of the damage that missing or vague WEPs can do is to be found in the President's Daily Brief (PDB), entitled Bin Laden Determined to Strike in US. The President's Daily Brief is arguably the pinnacle of concise, relevant, actionable analytic writing in the U.S. Intelligence Community (IC). The PDB is intended to keep the president informed on a wide range of issues, the best analysts write it and senior leaders review it. This, the "August 6 PDB", is at the center of much controversy for the USIC. The August 6 PDB began with not only a vague warning in the title, but also continued with vague warnings:

"Bin Ladin since 1997 has wanted to conduct terrorist attacks in the US" (CIA, 2001, para. 1) "Bin Ladin implied...that his followers would 'bring the fighting to America'" (CIA, 2001, para. 1) Bin Ladin’s “attacks against ... US embassies ... in 1998 demonstrate that he prepares operations years in advance and is not deterred by setbacks" (CIA, 2001, para. 6) "FBI information ... indicates patterns of suspicious activity in this country consistent with preparations for hijackings or other types of attacks" (CIA, 2001, para. 10) "a call to [the US] Embassy in the UAE in May [said] that a group of Bin Ladin supporters was in the US planning attacks with explosives" (CIA, 2001, para. 11)

The PDB described Bin Laden's previous activities. It did not present the president with a critically important clear estimate of Bin Laden's likely activities in the coming months:

Bush had specifically asked for an intelligence analysis of possible al Qaeda attacks within the United States, because most of the information presented to him over the summer about al Qaeda focused on threats against U.S. targets overseas, sources said. But one source said the White House was disappointed because the analysis lacked focus and did not present fresh intelligence.

The lack of appropriate WEPs would lead to confusion about the likelihood of an attack and to guessing about the period in which it was likely to occur:

The language used in the memo lacks words of estimative probability that reduce uncertainty, thus preventing the President and his decisionmakers from implementing measures directed at stopping al Qaeda’s actions.

The consequences of the 9/11 and the Iraq/WMD intelligence failures, the 9/11 Commission and the Iraq Intelligence Commission, were the movers of structural reform of the intelligence community. Although these reforms intended to improve the functioning of the IC, particularly concerning inter-agency cooperation and information sharing, "they paid scant attention to improving the quality of analyses and intelligence writing". There is a pervasive feeling that this improvement is needed. However, there seems to be resistance in the IC, due in part to habit and in part to the reality of politics and the understandable preference for the "plausible deniability" that less precise jargon offers.

Medicine Physicians and clinical scientists face a very similar problem in obtaining informed consent for patients, where words such as "rare" or "infrequent" do have actual probabilities defined. Numerical information of this type, however, is rarely presented to patients. A representative guide for obtaining informed consent from people participating in social science or behavioural research, or of the potential risks of a medical procedure, suggests giving typical numerical chances of an adverse event when words of estimative probability first are used.

The guideline continues:

For studies involving investigational agents, or experimental doses or combinations of drugs and/or treatments, subjects should be warned that there may be as yet unknown risks associated with the drug/treatment but that they will be advised if any new information becomes available that may affect their desire to participate in the study.

Reforms to methodology Estimative statements can be improved in four ways; either by:

Adding quantitative source reliability and confidence measures to estimative statements Complementing estimative statements with stochastic analyses Standardizing WEPs Standardizing WEPs and complementing estimative statements with ratings of source reliability and analytic confidence

Quantification of source reliability and analytic confidence Michael Schrage, an advisor to the Massachusetts Institute of Technology's (MIT) Security Studies Program, wrote in a Washington Post editorial that requiring analysts to produce and include quantitative measures of source reliability and confidence along with their findings would reduce ambiguity. Yet Schrage also reported that former interim Director of Central Intelligence John E. McLaughlin's attempted to enact this at the CIA, but, like Kent's initiative, it was not adopted:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Words of estimative probability

Start with the simplest possible case. Write down what Words of estimative probability claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 Words of estimative probability 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 Words of estimative probability 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 Words of estimative probability

In research
Words of estimative probability appears in mathematics 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 Words of estimative probability 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
Words of estimative probability is common in secondary-school and first-year university syllabi. It links to neighbouring topics Intelligence analysis, Military intelligence, so understanding it makes those chapters shorter.
In everyday life
Look for Words of estimative probability 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 Words of estimative probability in 20 minutes

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

Frequently asked questions

What is Words of estimative probability in simple terms?

Words of estimative probability (WEP or WEPs) are terms used by intelligence analysts in the production of analytic reports to convey the likelihood of a future event occurring. A well-chosen WEP gives a decision maker a clear and unambiguous estimate upon which to base a decision.

Why does Words of estimative probability matter?

Because it connects several mathematics 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 Words of estimative probability?

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 Words of estimative probability.

Tags

  • Intelligence analysis
  • Military intelligence

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