This article is also posted on my blog.
Update 2021-05-09: Upon checking data more carefully, I have revised the chances of becoming a professor in math.
The joke
A friend sent me an article titled
Is Science a Pyramid Scheme?
posted on viXra,
an e-print archive.
The abstract is as follows --
A grievance expressed by some PhD students and Postdocs is that science works like a pyramid
scheme: Young scientists are encouraged to invest into building scientific careers although the
chances at remaining in science are extremely slim. ...
The super-prolific authors at the top of the pyramid ... are usually heads of large institutes
with many subgroups and large numbers of PhD students, while the bottom of the pyramid is
populated by PhD students and Postdocs ... A new index, the Ponzi factor, is proposed to
quantify this phenomenon.
The author of the article is named as Charleeze P. Ponzi,
which is also the name of the person who invented Ponzi
scheme.
Since it is unlikely that the ghost of Ponzi (died in 1949) who wrote the article,
perhaps the article is meant to be a joke.
The fact
However, the author does have a point in saying that "the chances at remaining in science are
extremely slim".
Take mathematics as an example,
according to American Mathematical Society's latest annual survey,
during the 2017-2018 academic-year
In mathematical and statistical sciences, 1,960 PhDs were awarded by the responding departments
...
Meanwhile, during the same period,
985 tenure-track positions in mathematical science
were offered across USA,
among which 775 positions were filled.
However, among these positions, only 296 are from departments offering PhD degrees,
i.e., from places where you are supposed to do a lot of research besides teaching.
And these numbers have been relatively stable for years.
Thus, roughly speaking,
a math PhD student in USA has at most 40% chance of becoming a tenured professor,
but only 15% chance if you also want do a lot of research besides teaching.
15% does not sounds too bad.
But I probably overestimated this number, since PhD of other
majors, like myself who studied Computer Science, applies jobs in math departments.
And PhD produced in other countries also compete for these positions.
These numbers only applies to USA.
It is likely that in less affluent countries there are not as many positions.
For example, when I applied a position in Sweden,
there were around 40 applicants in total.
Moreover, the situation of the whole field of natural science may be bleaker.
By one estimate,
about 2.2% German PhD students in natural science become professors.
The conclusion
I used to joke to PhD students that they should strongly recommend their friends to not to do a PhD,
because
- research is indeed hard;
- this reduces competitions they fill in future job market.
However, I do seriously think people should think twice before they apply for PhD positions.
They must realise that it is unlikely they will become professors.
So, before applying, instead of imagining themselves becoming the next Einstein,
people should think very hard about how doing a PhD can help them getting jobs outside the academic.
Otherwise, five years of hard work may lead to nowhere and the result can be devastating.
That being said, I think Sweden, where I did my postdoc, makes studying for a PhD less risky.
First, in Sweden, university only accepts PhD students whose funding has been guaranteed for fives
years.
This protects students from running into financial difficulty when they are close to finish line.
(When I studied in Canada,
a fellow PhD student had to use GoFundMe to support himself during the last year of his study.)
Secondly, PhD students in Sweden earn about 30k SEK (3500 USD) per month,
which is not much but enough to have a reasonably comfort life.
Thus, for most of students I met in Sweden,
graduate school is just a place where they can explore their intellectual interest
without worrying about their financial situation.
They enjoy their time and they get well-paid industry jobs in the end.
For me, that does not seem to be a bad deal at all.
Maybe other countries can learn a bit from Sweden.
And maybe you can consider doing a PhD there.
Have you published your results?
We are writing up the paper now! We sampled in 2019 and 2020. We used the PHQ9 to measure to depression and the GAD7 to measure anxiety. Happy to answer any questions if you have :)
Oh, I am going to start advise undergrads on career choices soon. Many of them will want to go to graduate schools. So I would like to give them some cautions. Please let me know when your article comes out. Good luck with publishing it!
Interesting, thank you for sharing.
Do you have a take on how accurate the national average estimates are? In particular, I'd be interested in whether they were determined using a different methodology, and so perhaps one that will be biased toward "underreporting". Where as at first glance your methodology might seem to be biased toward "overreporting" (though idk to what extent you may have "corrected" for non-reponse bias, which would be one source of "overreporting").
The national averages were determined using the same measurement instruments we used, but they did not control for non-respondents the way we did. My intuition is that the national averages are pretty accurate because they had big sample sizes and did not seem to be obviously sampling from a more depressed/anxious segment of the population.
But you can decide for yourself:
In a national sample collected by the National Health and Nutrition Examination Survey (n = 31,366), 8.75% of people in the United States meet the criteria for moderate to severe depression. When restricting the national sample to only those with a college degree or above (n = 6,660), national rates of moderate or severe depression were much lower than what we found in our graduate student sample: 3.8%
In a national sample (n = 5,030), 5.1% of Americans met the criteria for moderate or severe anxiety on the same measure (Löwe et al., 2008).
We controlled for non-responders by keeping track of how many reminders it took subjects to respond to the survey, and checked to see whether the harder it was to get people to respond predicted their depression or anxiety scores. It did not. We also had such a high response rate (30%) that even if all of our non-respondents felt depression or anxiety at rates equal to national averages (unlikely), the graduate students would still be worse off on average.