We respond to the lies and distortions of mainstream economic research by Wilkinson and Picket.
I typically don’t approve of appeals to authority, but since Wilkinson and Picket are masters of playing this game, and falsely market themselves to the media and broader public as representatives of mainstream research, I have no choice but give them a dose of their own medicine.
• Wilkinson and Picket, pressed into a corner, now suddenly claim that Nobel prize winner James Heckman’s research supports their conclusions! When I asked professor Heckman about this, sending him the link to Wilkinson and Picket’s text, James Heckman answered bluntly:
“This is a misreprentation of my work”.
How dare these two charlatans casually distort the work of one of the leading economist in the world and put the authority of his name and research behind their unsubstantiated claims?
If they are willing to lie about even James Heckman himself, are we supposed to trust them regarding the “200 studies” that they assert demonstrate a causal link between income inequality and health?
• Wilkinson and Picket further claim that the Princeton professor Angus Deaton is not an expert and that, consequently, his review study in the Journal of Economic Literature, which arrives at the opposite conclusion to that of Wilkinson and Picket, is not worth citing. This is despite the fact that this paper appeared in a much more prestigious journal, with 3 times the impact factor, and has been cited twice as often by other scholars as Wilkinson and Picket’s own work.
Leading economists consider Deaton enough of an expert to ask him to write the review article in the flagship review journal of the profession. According to Ideas, of tens of thousands active economists, Deaton is the 56th highest ranked economist on the planet.
Wilkinson and Picket (from the universities of Nottingham and York), give themselves the right to dismiss mainstream economic research when it fails to support their conclusions, not even acknowledging the existence of this more rigorous and objective work. Wilkinson and Picket are thereby failing to comply with the basic rules of scientific conduct. The naïve readers that trust Wilkinson and Picket are being fooled about the state of mainstream economic research.
• I am a blogger. When I wanted to measure the correlation between patents and inequality, I went to the homepage of the World Intellectual Property Organization and downloaded the data. The correlation between per capita patents and inequality was not statistically significant, and went in the opposite direction of what Wilkinson and Picket wrote. Wilkinson and Picket claim to represent serious science. It now turns out that their source for patents is the amateur internet site Nationmaster, not the original source as they initially claimed!
Wilkinson and Picket, who claim to present science, have lower data standards in their research than a blogger they are debating with does when writing a blog entry about their work.
• When defending their claims that income inequality caused higher mortality, they over and over claimed that there are “200” (or sometimes 300) studies that prove this causal link. If you look at their actual review study, you will notice that the source of this claim of external validity are 2 review articles. One of the two is by the paragons of scientific virtue Wilkinson and Picket themselves.
• The second study (Kondo et al. 2009) of 28 papers explicitly makes clear that is not looking at causation, but “association”. In economic jargon you write “association” when you do not feel confident that you have established a causal link. Not all 28 articles in the Kondo et al. study even find a statistically significant link, with the authors warning that the results should be interpreted with
“caution given the heterogeneity between studies, as well as the attenuation of the risk estimates in analyses that attempted to control for the unmeasured characteristics of areas with high levels of income inequality.“
• The Wilkinson and Picket paper is not about mortality at all. They themselves write “We compiled a list of 155 published reports of research on the relation between income distribution and population health.”
Of the 155 papers, they find “A tally of numbers showed 88 wholly supportive Analyses” and 44 which they call partially supportive (mixed evidence).
They look at 155 papers, but even they actually only find clear results for 88. Yet they keep saying they have “200” papers, leaving the reader to believe 200 papers support their claims. In the Wall Street Journal they went further, and gave the impression they had “300” supporting articles. The 300 figure is the number of citations they have in their book, which is obviously very far from 300 papers all supporting their claims…
• Here is the killer: Read the Wilkinson and Picket criteria for selecting a paper that they later present as having proven a causal link:
“We classified them as wholly supportive if they reported only statistically significant associations between greater income inequality and poorer population health”
A statistical “association” is not evidence of causality. Association just means that two variables are statistically related, not that one is causing the other. This is what scientists write when they do not have enough evidence to establish causation convincingly.
Thus the Wikipedia page for association for example writes:
“In quantitative research, the term “association” is often used to emphasize that a relationship being discussed is not necessarily causal”
Adding controls does not magically make something causal, unless your model specification is correct and you are actually control for all determinants of the dependent variable that are correlated with the independent variable of interest. This is very difficult with complex variables such as health and inequality.
So Wilkinson and Picket are using double standards. In their published research they picked studies that did not have (or even claim to have) established a causal link, but in their representation of this research to the broader public they pretend that there is evidence for causation between inequality and poor health.
• When we asked for a paper showing a causal link between life expectancy and inequality,, they linked to study from China. The study looks at the statistical association between the Gini coefficient and “self-reported health” in some Chinese provinces.
First of all, we asked about life expectancy, but you if you look carefully you will see that this study is about self-reported health. The dishonesty never ends with these two people.
Second, Wilkinson and Picket understand too little about modern methodology in social sciences to realize that this is also a correlational study!
I will again repeat the standard criteria in modern social science: When you have variables related in complex ways, such as inequality and health, running a regression is just not enough. You either have to have to model the exact relationship between health and inequality, including all possible confounding variables, or use experimental or at least quasi-experimental methods to try to tease causal patterns out of the observational data.
Wilkison and Picket go from “200” studies to failing to cite EVEN ONE study that established a causal link between income inequality and life expectancy.
The market for ideas like other markets operates by the laws of supply and demand. There is clearly a large demand for the claims of Wilkinson and Picket, that equality is not only morally preferable (which I agree with), but scientifically proven to cause all sorts of good outcomes.
Because of this demand from politicians and journalists, Wilkinson and Picket were tempted to write their unscientific book. This book ignores more serious work in economics, distorts evidence, cherry picks data, relies on correlation rather than causation, prefers data from amateur sites on the internet to the original source data, and reports relationships which turn out not to be statistically significant.
Journalists, leftist, and Sweden’s Social Democratic party leader Mona Sahlin, trusted Wilkinson and Picket. One reason is because they wanted to believe that their message was true. The other, more problematic reason is that people have been taught to trust scientists, and Wilkinson and Picket have falsely marketed their shoddy ideological work as science.
Wilkinson and Picket are abusing the trust of the public in academia, which is their perhaps most serious crime, far worse than the offense of simply being wrong. The lesson is, I believe, that journalists and politicians need to be more careful of false prophets, especially if they market themselves as “scientists”.