This graph suggests that, at a national level, three quite
different indicators of human flourishing tell a similar story about human
flourishing. The opportunity measure, shown on the horizontal axis, encompasses
economic freedom, income, education, health and environmental performance. The
thriving measure, shown on the vertical axis, shows the percentage of the
populations who are positive about their present life situation and optimistic
about the next five years. The measure of psychological flourishing, shown by
the size of the bubbles, reflects the percentage of the populations whose
responses to questionnaires indicate competence, emotional stability,
engagement, meaning, optimism, positive emotion, positive relationships, resilience,
self-esteem, and vitality.
The focus on European countries was dictated by the data
source on psychological flourishing: an article by Felicia Huppert and
Timothy, ‘Flourishing Across Europe’ (published
in Soc.Indic.Res. in 2013). The thriving data is from Gallup World Polls
using the Cantril scale which asks people to evaluate their lives relative to
the best possible and worst possible life. The opportunity measure was created using
methodology described in Chapter 6 of my book, Free to Flourish.
The graph raises such questions as whether Scandinavian
countries will be able to sustain high rates of thriving and psychological
flourishing in future without further expanding individual opportunities.
However, I want to focus in this post on how we came to
measure human flourishing in three different ways and what the different
measures tell us.
First, consider measures of opportunity. GDP per head of
population has been used by economists as a rough measure of well-being for
many decades, even though its potential shortcomings for this purpose have been
well known since the concept was developed in the 1930s. Recognition of such problems
led to efforts to take account of longevity and education, in the UNDP’s Human Development Index, and of a wider range of indicators of the quality of life in
the OECD’s Better Life Index and similar indexes - including the opportunity
index used in the graph. All those indexes can be viewed as measures of
opportunity; they are not direct measures of well-being or human flourishing.
It is possible to be wealthy, highly educated and have good physical health and
yet to be deeply unhappy.
Second, there are attempts to measure well-being directly
using surveys asking individuals to give a simple numerical rating to their
happiness or their satisfaction with their lives. The data on thriving shown in the graph are
based on subjective well-being assessments of that kind.
The meaning that should be given to life satisfaction
ratings is less obvious than the meaning of happiness ratings. The happiness
question clearly elicits responses about feelings. Available evidence suggests
that life satisfaction ratings reflect evaluations of lives rather than
momentary feelings. Research by John Helliwell et al for The World Happiness Report shows that a large part of variation in
life satisfaction ratings among countries can be explained by differences in
income levels, social support, freedom to make life choices, generosity and
perceptions of corruption.
Analysis of data from long-running national panel surveys
for Australia, Germany and Britain provides evidence that adaptation and
resilience tend to restore life satisfaction to previous levels following
positive and negative changes in circumstances. Nevertheless, recent research by Bruce Headey and Ruud Muffels suggests that most people go through periods
of their lives when they have relatively high and relatively low life
satisfaction. Positive feedback loops between life satisfaction and variables
such as health, social support, frequency of social activities, and satisfaction
with work and relationships partly account for extended periods of high or low
life satisfaction.
As I have discussed in a previous post, evaluations of life
satisfaction can also be interpreted as frames of mind, which influence the
extent to which people experience positive emotions. Monty Python (and many
philosophers and psychologists) tell us that people who have a disposition to
look on the bright side of life are better able to maintain relatively high life
satisfaction. The evidence that life satisfaction is influenced by dispositions
that are attributable to genetics also supports a frame of mind interpretation.
People in Denmark are apparently particularly favoured by genes that promote
high life satisfaction.
The main reservation I have about the tendency to use of
life satisfaction as the gold standard in measuring human flourishing stems
from evidence (for example, findings of research by Daniel Benjamin, OriHeffetz, Miles Kimball and Nichole Szembrot) that when faced with relevant
choices people rank life satisfaction less highly than other criteria such as
the overall well-being of their family, being a moral person, having a
meaningful life, and having many options and possibilities in life and freedom
to choose among them. Some of the findings of this research are not easy to
understand, but those noted above are, at least, consistent with the choices
people could be expected to make when they exercise their practical wisdom.
That leads me to the third approach to measurement of human
flourishing: the eudaimonic approach, which draws some inspiration from ancient
Greek philosophers. In their research,
referred to above, Felicia Huppert and Timothy So viewed flourishing as lying
at the opposite end of a spectrum to depression and anxiety. The authors
identified 10 features of positive well-being: competence, emotional stability,
engagement, meaning, optimism, positive emotion, positive relationships,
resilience, self-esteem, and vitality. As noted in my previous discussionof this study, an important finding was that was that the individuals
identified as flourishing did not correspond very closely to those identified
as having high life satisfaction. For Europe as a whole, the percentage who
were both flourishing and had high life satisfaction was 7.3%. Among people who
met the criterion for flourishing, 46.0% had high life satisfaction, and among
people who had high life satisfaction, 38.7% were flourishing. (The correlation
between life satisfaction and flourishing was only 0.34.)
As the philosopher Daniel Haybron has observed recently,
there is no consensus among eudaimonic psychologists about what their measures
of well-being should look like. Dan Haybron has provided what seems to me to be
a good account of the “philosophical basis of eudaimonic psychology” in a
chapter of that name in J Vitterso (ed.) Handbook
of Eudaimonic Well-being. I don’t agree with him on the question of
whether it is possible for the wicked to flourish, but I don’t think that
impinges greatly on the measurement issues. Haybron argues cogently that the
main factors that should be targeted in eudaimonic measures of psychological
well-being are:
- Agency - personal development, competence and autonomy
- Relationships - close personal relationships, social enjoyments, community trust etc.
- Meaning - engaging in activities that are meaningful or worthwhile
- Emotional well-being - endorsement (or positive emotion) engagement and attunement (tranquillity or peace of mind).
He also acknowledges the importance of some other factors
that researchers may wish to measure: authenticity, knowledge and virtue.
In my view Haybron’s contribution should provide a useful
basis for further consideration of these matters by psychological researchers, but
any consensus they reach will inevitably be somewhat arbitrary and tenuously
related to the perceptions of individual survey respondents about the factors
that are important to their own flourishing.
I end by raising a couple of questions:
First, how should researchers determine what weights should
be given in combining ratings of factors targeted in their surveys? My answer,
very briefly, is that this should be left to the practical wisdom of survey
respondents. I considered the question here.
Second, would it be enlightening to attempt to combine
measures of economic opportunity with measures of psychological flourishing? My
initial thought is that before considering that question we should have a clear
view of the purpose(s) for which such a combined measure might be more useful
than separate indicators of economic opportunity and psychological flourishing.
I can’t think of any right now.
Postscript:
On life satisfaction (LS) measures: you
point to one of the odd features of the Benjamin et al work, which generally
seems to undervalue emotional goods as well. I suspect the setup skews answers
misleadingly on things like that (though I think their work is really cool).
But also, partisans of LS should not be bothered by that result: the smart
position is to allow that LS itself isn't very important (hence the
responses), but is very useful as an indicator of success in the things people
do care about. So if LS is a valid measure, it should reflect all those other
things, in proportion to how much people care about them. i suspect the
Benjamin et al framework might be used to help test LS measures: are they
sensitive enough to what people actually care about? Or do they lean too
heavily on information that is chronically salient, like day-to-day material
concerns?
Postscript:
Dan Haybron has provided the following comments:
Very nice post! It might be useful to see your opportunities
index related to the capabilities framework, which in my view is really just a
kind of opportunity approach--and possibly better framed as a matter of
opportunities (though maybe the connotations of the latter aren't always
helpful).
I suspect policy should consider well-being/outcome and
opportunity metrics, and also don't see any clear rationale for combining them,
except perhaps in some still broader index including lots of other stuff as
well. In my work on capabilities, I suggest that the latter better captures
something like parents' concern that their kids have good opportunities (so
push them in school), which is distinct from a wish that they be happy/do well,
which can sometimes be in tension with giving them the best opportunities. (If
your kid goes to Harvard, great opportunities, probably not so happy.) Though
in line with your graph, I assume they generally tend to be positively
correlated.