First, if it is clear that you haven’t read the post itself and leave a comment I won’t just not publish it, but I’ll ban you. Second, if you complain about this in the comments, I’ll ban you too. Now that you feel appropriately welcome, I want to explore some of the issues beneath Chris Mooney’s post, Vaccine Denial and the Left:
So I want to further explain my assertion that vaccine denial “largely occupies” the political left. It arises, basically, from my long familiarity with this issue, having read numerous books about it, etc.
First, it is certainly true that environmentalists and Hollywood celebrities have been the loudest proponents of anti-vaccine views. To me, that is evidence, although not necessarily definitive. So is the fact that we see dangerously large clusters of the unvaccinated in places like Ashland, Oregon, and Boulder, Colorado, which are very leftwing cities.
What’s tricky is, there’s not a standard left-right political ideology underlying this. Rather, it seems more associated with a Whole Foods and au natural lifestyle that, while certainly more prominent on the bicoastal left, isn’t the same as being outraged by inequality or abuses of the free market.
This is a tricky issue. There is a stereotype that liberals who reject religion tend to gravitate toward New Age/environmentalist spirituality. “The mind abhors a vacuum” model. I used to accept this, but if you poke around the General Social Survey the reality is more complicated. For example, you can look up attitudes toward genetically modified food and astrology. The results don’t fall neatly into a Left-Right dichotomy. Part of the issue is that there has been aggregation of distinct groups into on catchall category. Consider me. I identify as a conservative, which would indicate a far higher odds of me being a Creationist, but I’m clearly not.
There aren’t any questions about vaccination in the General Social Survey, but there are several about trust and faith in science, or lack thereof. First I pruned all of the questions which were before 1998. So the results below are for the 2000s by and large. After that I had a set of variables to play with, to serve as replicates in terms of observing trends. Below are three tables with my results.
Table #1 is just a set of results which shows how political ideology, party identification, and educational attainment, correlate with attitudes toward science. So in that table the columns add up to 100%. So below 4% of liberals strongly agree while the assertion that “we trust too much in science,” and 21% strongly disagree.
The second table is limited to self-identified liberals. I wanted to query how attitudes toward science vary by demographic among liberals. In this case the rows add up to 100% on the margin (rotated from the first table). So in terms of those who strongly agree that we trust too much in science, 29% are male and 71% female, among self-identified liberals. Remember that in some classes there won’t be a 50/50 breakdown, so look for the variation in relative trends.
Finally, for the third table I have a regression. I now divided the sample into liberal and conservative groups, and ran a set of variables to predict opinions on the questions which I’ve covered so far. The first row has the R-squared, the magnitude of which illustrates how much the listed variables predict variation on the question. Subsequent rows have beta values for the variables, which indicate the direction and magnitude of the effect from that given variable. The questions are all easily numerical, or recoded as numerical (e.g., atheist, agnostic…to total belief in God is 1, 2…6). To get an intuition as to what’s going on, just look at each variable and its value. Those which are bold are statistically significant at p = 0.05. For example, among liberals confidence in belief in god seems to decrease trust in science. Socioeconomic status seems to increase it.
Please note that I’ve omitted some categories for variables where the sample size is too small, so some rows/columns may be less than 100% (e.g., Jews in “religion”). Additionally I’ve removed some response classes where N < 25, as the noise can confuse the trend line.