whaddayamean hockey players are thugs? …..oh.

Thoughts of the Day

I’m looking at the table of contents of a journal that, as many of them do, is going through a bout of hand wringing over it’s impact factor.

Three article titles in and…I’m fighting to keep my eyes open. FFS, get some more interesting titles.

Second, and this is the big one, just about every frigging article screams “We couldn’t get this into Nature Neuroscience or Neuron so we’re dumping it here“. Sorry, but when you are positioned with a scope that is nearly identical to other journals of much higher JIF, this is what happens. Your JIF gradually swirls the drain.

Repost: You Will Respect My Authoritah!

I am amused today by two individuals who simply cannot wrap their heads around the idea that one’s authority and influence in a given area is not uniquely and solely tied to ones accomplishments in traditional academic professional pursuits. One such individual is over at Isis’ place:

And it’s also telling that, now that I know your identity, I find myself actually more educated and qualified than you, but I wouldn’t speak on half the topics you did. Makes me wonder if anonymity didn’t make you feel more important than you actually were.

I really look forward to seeing what possibly makes someone more qualified than Isis to address the topics she blogs on. Really, I do. A Ph.D. in DomesticandLaboratoryGoddessology perhaps?

The other credential humper is over at Mike Eisen’s blog:

You don’t know who I am, what my qualifications are, where I studied, where I am from, or what my research is about. But why should I be granted a soapbox to stand on and criticize you when you can’t necessarily respond. How am I qualified in saying anything without my credentials to back it up?

Well, try saying something. If it makes any sense, people will tend to grant you a soapbox. This is called “blog traffic”. If you are not saying anything useful, you will enjoy the sound of crickets. Putting your “credentials” on the masthead will only take you so far in this, trust me.

Oh, glory, this one doubled down.

she used Dr. Isis to put herself above those 7 billion people without the credentials to back it up no? In the end, Dr.Gee showed that she was insignificant in the community. I don’t want to mention her identity here but her actual education and credentials have very little to do with half the stuff she’s commented on and used her anonymity to be an authority on things she really wasn’t. Because anonymously I can be Stephen Hawking,

No, actually you can’t. Christ I weep for the Academy (and public life) if people really think that credibility and influence only comes from a certain set of professional/academic credentials.

Anyway, I think it worthwhile reposting the following. Pay special attention to the occupational hazards of being an academic.

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The great sociological philosopher Eric Cartman provided a bit of gentle guidance on acceding to the wisdom of authority in one of his more famous works. A somewhat lesser philosophical talent offers similar advice in a comment posted to a recent discussion on pseudonymous/anonymous blogging at bablab. The commenter suggested that:

… there are a lot of areas, even in science, where experience (from which real authority derives) matters. An undergraduate who has never been to the field and an experienced geologist can go up to the same geological formation and have the same tools and the same list of tests and procedures. They can both do similar things to the sediments, and they can end up with totally different conclusions as to what they are looking at.
They both have the same argument, structurally, logically, but with different conclusions. The experienced geologist, however, is much more likely to be correct.

An excellent rationale for prioritizing scientific contributions on the basis of the contributor’s credentials, is it not?

Drivers are unsafe at any Blood Alcohol Concentration?

A reasonably provocative paper which suggests that automobile drivers are impaired at a blood alcohol concentration (BAC) as low as 0.01% has recently appeared.

Phillips DP, Sousa AL, Moshfegh RT. Official blame for drivers with very low blood alcohol content: there is no safe combination of drinking and driving.Inj Prev. 2014 Jan 7. doi: 10.1136/injuryprev-2013-040925. [Epub ahead of print][Pubmed][Publisher]

When I was first told of this finding, my initial curiosity was not so much about the findings but more about the design. It is incredibly difficult to come up with ways to compare drinking driver versus non-drinking driver stats in field studies or data mining retrospectives.

The authors drew data from US traffic fatalities¹ recorded in the National Center for Health Statistics database and the Fatality Analysis Reporting System database. The study sought to test the hypothesis that driver BAC would be related to the driver being determined to be solely and officially at blame for the crash. There are numerous factors that were coded for drivers including “under the influence of alcohol, drugs or medication” and “driving on wrong side of the road”. The “under the influence…” factor was dropped from all analyses for the obvious reasons that it would contaminate their test of hypothesis.

This is important for the reader to grapple with his or her most obvious complaint about this design. If the police officer is determining the responsibility and can smell (or otherwise detect) alcohol on one driver, this puts a bias in the outcome measure (responsibility for the crash) that would tend to correlate with the thing being tested (BAC). So the authors focused on the factors that were seemingly unambiguous. Such as “running off road” or “driving wrong way on one-way” versus “unsafe speed for conditions” and other ambiguous factors that depend on a police judgement.

The authors calculated the Sole Official Blame (SOB) as the number of drivers officially and solely blamed for the crash divided by the number of drivers officially assigned no blame for the crash. They also calculated the percentage of drivers blamed solely and officially for the crash divided by the total number of drivers involved. Figure 1 from the paper presents the SOB by the BAC for both male and female drivers. The solid line is the “All Blame Factors” and the dotted line is for the unambiguous factors- the far better measure², IMO. These data do make a case that fatal crash risk is an essentially linear function of BAC. Importantly, there is no inflection of the curve at either 0.08 or 0.1 BAC which have been the US legal limits during my driving lifetime. The error bars are 95% confidence intervals and they are using lack of overlap of the 95% CI as their inferential statistic indicating a significant difference (they also include a chi-square statistic for the 0.1 BAC vs sober bin). So far, so good. BAC is linearly correlated with the risk of being the sole and officially blamed driver for a fatal accident. [UPDATE: I didn’t originally catch a bit of a dodge the authors are pulling here. The inferential analyses are conducted on the “all blame factors. Then they state “these patterns hold when one considered all blame factors or unambiguous factors”. This “pattern” language is sometimes used to skip over the fact that the inferential analysis didn’t hold up on the other variable(s). This is a big problem, given my questions about the contamination of the blame issue if the officer knows one driver had been drinking alcohol.]

An interesting side-analysis looked at the problem that BAC is not always measured which could introduce a bias. I’m assuming that the first analysis used only verified negative BAC “sober” drivers but it is hard to find this directly stated. Anyway, they looked at the correlation on a state-by-state basis between the SOB “buzzed”, aka 0.1 BAC and SOB sober (which was 2.09 for the overall dataset), and the percent of unmeasured BACs in the fatal crash listing. The correlation was negative, showing that the lower the proportion of unmeasured BACs in a state, the larger the difference between sober and 0.1% BAC drivers in fatal crash responsibility. So if anything, I guess we have to assume that a lower percentage of blood testing results in an underestimate of the crash risk.

The authors next moved on to take a crack at the question of circumstances. In essence it addressed the question of whether people driving at 0.1% BAC are doing so under risky circumstances. At night, for example.
The third Figure from the paper depicts SOB ratio and the Percent Blamed for a subset of two-car crash pairings in which one driver was sober and the other was at a positive BAC. The beauty here is that nondriver circumstances are as identical as you can get for the sober and intoxicated drivers. The authors performed 16 chi-square tests but a quick multiple-comparisons adjustment to the listed p values shows they still survive as all of them being different, BAC vs sober, for SOB and P measures. Odds of being at fault are 60/40 for 0.1% BAC versus sober and about 80/20 by the time you reach two car crashes in which one driver was at 0.08% BAC. Interestingly this is the analysis that appears to show some categorical difference between BAC of 0.1-0.3% and BAC of 0.6-0.8%. They also did a cute little comparison of paired-crashes where one driver was at 0.08 and the other was 0.5-0.7 BAC. The SOB did not differ (95% CI overlap) in this analysis.

As a final note, a bunch of supplementary analyses were provided to try to rule in or out additional driver (sex, race), vehicle (speed and model year) and circumstantial (raining, time, location) factors. The relationship of SOB with BAC persisted.

Probably my largest question about traffic risks conferred by low levels of alcohol consumption is captured by the report of the relative effect size of the “most common driver factors” in Table 1. The “Driving too fast for conditions or in excess of the posted speed limit” factor is a large contributor to SOB ratio in the 0.1-0.7%BAC drivers as well as one of the larger differences from the sober drivers. This underlines a suspicion that those who are willing to drive after a low amount of alcohol consumed are perhaps innately different from those who are not. They might be somewhat more of a risk taker. Here, we’d really want to get at the population that is willing to drive after a drink or two and look at their driving crash risk when they are sober. Methodologically, this is asking for a lot, I realize.

This is only one study, of course. There may be other data out there that show a less continuous function of fatal crash risk to BAC in this range below the current US legal limit. But this is for sure an important study.

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¹authors say that there is no sufficiently detailed database for nonfatal crashes, sady.

²Still trying to wrap my head around whether these “unambiguous” factors are in fact uncontaminated by the police officer’s knowledge that one of the drivers had been drinking. Presumably they write up their reports somewhat after they have investigated. Maybe I’m searching for rigor where none is needed but it still bugs me.