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Research draft

life expectancy

vr.tr.life-expectancy · XCT.QTY

Let an agent handle life expectancy by definition, population, period, source and interpretation, neutrally and without predictions for individuals.

Thing Registry Cross-cutting context

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent handle life expectancy by definition, population, period, source and interpretation, neutrally and without predictions for individuals.

A statistical measure of the average time a person is expected to live, most often life expectancy at birth, calculated from age-specific mortality rates; related measures include healthy life years and quality-adjusted life years.

What it is for: Measuring population health and comparing places and times.

It can be cite official life expectancy figures; distinguish period and cohort measures; compare across groups with care; explain healthy life expectancy.

Distinguishing features

Statistical average

Based on mortality rates

Not a prediction for an individual

Varies by sex, place and group

What it looks like

Numbers in years in official statistics.

How it is recognised

Life expectancy at birth or at a given age

Healthy life years and HALE

Period versus cohort

Related models

is a kind of - category

health indicator

is computed from - input

mortality rate

is published by - sources

statistical offices and WHO

is related to - concept

lifespan

In practice

Families and kinds

life expectancy at birth

life expectancy at older ages

healthy life expectancy

cohort life expectancy

quality-adjusted life years (related)

Standards and regulation

WHO Global Health Observatory methods

National life table methods

Failure modes and hazards

Treating averages as individual predictions

Comparing different measures

Insensitive framing of group differences

Also called

LGBT life expectancyLongevity in Okinawalife expectancy at birthHealthy Life Yearsquality-adjusted life year

Where this came from

wikidata · CC0 1.0

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Definition Which measure.

Measures differ.

Measure

At birth or age.

Measure

Measure.

  1. Which life expectancy measure is meant? definition
  2. Period or cohort? definition

Population

Group.

Population

Population.

  1. For which population, place and year? provenance
  2. By sex or other groups? definition
Data Values.

Figures need sources.

Value

Years.

Value

Value.

  1. What is the figure, from which official source? measurement
  2. How uncertain is it? measurement

Trends

Change.

Trends

Trends.

  1. How has it changed over time? measurement
  2. What drove the change, according to research? provenance
Interpretation Meaning.

Averages mislead if misread.

Individual

Not a prediction.

Individual

Individual interpretation.

  1. Is the user trying to predict one person lifespan from an average? boundary
  2. How should that be explained? action

Healthy years

HALE.

Healthy

Healthy life expectancy.

  1. How many of those years are lived in good health? measurement
  2. How is that measured? definition
Equity Differences.

Differences need careful framing.

Gaps

Between groups.

Gaps

Gaps.

  1. What gaps exist between groups, according to official data? provenance
  2. What explains them? provenance

Framing

Respect.

Framing

Respectful framing.

  1. Is the framing respectful and non-stigmatising? boundary
  2. Is context given? boundary

What the second pass must settle

  • Should life expectancy measures be separate entries?
  • How should sources be linked and dated?
  • How should group differences be presented?