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Useless PhDs: How to Spot Them and Choose Wisely thumbnail

Useless PhDs: How to Spot Them and Choose Wisely

Andy Stapleton·
5 min read

Based on Andy Stapleton's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Treat a PhD as an investment with a planned end goal in mind—time, energy, and missed opportunities should be weighed against likely outcomes.

Briefing

A PhD is only a good investment when the career payoff is clear before enrollment—otherwise it can mean years of stress, lost opportunities, and a job market that doesn’t reward the degree. The core warning is aimed at people choosing fields with weak hiring pipelines or poor translation to non-academic work, and it comes with a practical checklist: examine job demand, entry requirements, earning outcomes versus alternatives, and where graduates from similar labs actually end up.

The first “avoid” category is history PhDs. Labor-market signals point to a mismatch between the number of doctorates and the number of roles available. An American Historical Association jobs report is used to show job ads rising and then falling sharply while history PhD output increases and then drops—suggesting limited demand. The transcript also highlights that assistant professor hiring is concentrated early after graduation, meaning candidates who don’t become competitive quickly can get stuck in a long tail of years without strong traction in research universities. A U.S. Bureau of Labor Statistics search for historians is cited to argue that entry-level roles often require only a master’s degree, making a history PhD a potentially large use of time and energy for outcomes that a shorter credential may already unlock.

Humanities PhDs are treated as the second high-risk area. A Canadian-focused study (“Desperately Seeking careers”) is referenced to connect humanities PhD outcomes to lack of funding and insufficient career preparation, which narrows the range of non-academic options and can reduce how employers perceive the degree’s relevance. Earnings data from the U.S. Census Bureau (2009–2011) is used to reinforce the concern: humanities earnings rise from bachelor’s to master’s, but a PhD lowers earning potential relative to professional degrees—degrees designed for specific career tracks.

Science PhDs are not dismissed, but the transcript argues that some life-science paths are especially hard to cash in without immediately usable industry skills. Postdoctoral employment patterns in life sciences and physical sciences are described as turbulent, with notable movement between sectors within six months. Physical-science postdocs are characterized as more likely to land in non-academic sectors and as better paid than life-science postdocs, implying that life sciences can be unforgiving for generalist training.

Across fields, the recurring decision framework is earnings and employability compared with alternatives. U.S. Bureau of Labor Statistics data for life scientists is cited to show that typical entry-level jobs require only a bachelor’s degree, while Census Bureau comparisons suggest professional degrees can produce much higher earnings than PhDs. The transcript also points to where PhDs actually work outside academia—banking and financial services, mining and energy, software, consulting, engineering, legal services, telecommunications, utilities, and medical/pharmaceuticals—using an Australian “knowledge economy” white paper listing top PhD employers in business.

The practical takeaway is not “never do a PhD,” but “choose with evidence.” Align the dissertation with industries that hire doctorates, track where graduates from a lab or supervisor end up, and avoid treating a PhD as the path of least resistance. For some people, the “worst” PhD is simply the wrong fit; for others, it’s a degree that delays decisions until switching becomes harder.

Cornell Notes

The transcript’s central message is that a PhD should be chosen like an investment: before enrolling, people should verify job demand, earning outcomes, and whether the degree leads to the kind of work they want. It flags history and humanities PhDs as especially risky because hiring pipelines can be weak and earnings can lag behind professional degrees. For life sciences, it warns that post-PhD outcomes can be turbulent and that physical sciences may translate to industry more readily. The recommended approach is to compare PhDs against bachelor’s, master’s, and professional degrees using labor and earnings data, then check where graduates from a similar lab actually end up.

Why does the transcript treat history PhDs as a “worst” choice for many people?

It points to labor-market strain: an American Historical Association jobs report shows job ads rising and then dropping while history PhD numbers increase and then fall, implying limited openings. It also emphasizes that assistant professor hiring is concentrated in the first one to two years after graduation, so candidates who aren’t competitive quickly can end up in a long tail of weak prospects. Finally, U.S. Bureau of Labor Statistics data for historians is used to argue that entry-level roles often require only a master’s degree, which can make the PhD a poor return on time and energy.

What specific evidence is used to argue that humanities PhDs can be financially and career-wise risky?

A Canadian study (“Desperately Seeking careers”) is cited for findings that humanities PhD outcomes are constrained by lack of funding and career preparation, which limits non-academic options and affects how employers view the degree’s relevance. Earnings comparisons from the U.S. Census Bureau (2009–2011) are also used: humanities earnings increase from bachelor’s to master’s, but a PhD reduces earning potential relative to professional degrees—credentials designed for targeted career paths.

How does the transcript compare life-science PhDs to other options using postdoctoral and labor-market signals?

It describes life-science postdoctoral employment as turbulent, with considerable movement between employment sectors within six months post-PhD. It also claims physical-science postdocs are shorter, better paid, and more often move into non-academic sectors than life-science postdocs. Then it uses U.S. Bureau of Labor Statistics data for life scientists to argue that typical entry-level jobs require only a bachelor’s degree, while Census Bureau earnings comparisons suggest professional degrees can outperform PhDs financially.

What is the transcript’s “data checklist” for deciding whether a PhD is worth it?

It recommends checking (1) earning potential after the PhD, (2) whether the job area is growing, (3) whether the desired job is reachable with a bachelor’s, master’s, or professional degree, and (4) how professional degrees compare to PhDs on earnings. The repeated theme is that professional degrees often increase earnings more than PhDs and can avoid the stress and time cost of doctoral training.

Where do PhDs tend to land outside academia, and how should that influence PhD selection?

An Australian “knowledge economy” white paper listing top 50 PhD employers in business is used to highlight non-academic hiring in areas like banking and financial services, mining and energy, computer software, management consulting, engineering, legal and law services, telecommunications/utilities, and medical/pharmaceuticals. The transcript advises aligning dissertation work with industries that actively hire doctorates and using lab/supervisor graduate outcomes as a practical guide to likely career paths.

Review Questions

  1. Which labor-market and earnings indicators does the transcript use to argue that history and humanities PhDs may have weak returns?
  2. How does the transcript distinguish life-science postdoc outcomes from physical-science postdoc outcomes?
  3. What steps does the transcript recommend for matching a PhD topic to real hiring demand outside academia?

Key Points

  1. 1

    Treat a PhD as an investment with a planned end goal in mind—time, energy, and missed opportunities should be weighed against likely outcomes.

  2. 2

    History PhDs are flagged as high-risk because hiring can be concentrated early after graduation and entry-level roles may require only a master’s degree.

  3. 3

    Humanities PhDs are flagged as risky due to constraints like funding and career preparation, plus earnings that can underperform professional degrees.

  4. 4

    Life-science PhDs require extra caution: post-PhD transitions can be turbulent, and industry translation may depend on having immediately applicable skills.

  5. 5

    Use labor-market demand and earnings comparisons (bachelor’s vs master’s vs professional degrees vs PhD) before committing to doctoral training.

  6. 6

    Track where graduates from your lab or supervisor actually go to estimate realistic career pathways.

  7. 7

    Align dissertation work with industries that actively hire PhDs to improve funding prospects and post-PhD employability.

Highlights

Assistant professor hiring for history PhDs is described as concentrated in the first one to two years after graduation, leaving a long tail for those who don’t become competitive quickly.
Humanities outcomes are linked to funding and career-prep gaps, and Census Bureau earnings comparisons suggest professional degrees can outperform PhDs.
Life-science post-PhD transitions are portrayed as turbulent, with physical-science postdocs more often moving into non-academic sectors and earning more.
The transcript repeatedly contrasts PhD earnings with professional degrees, arguing that professional credentials can deliver higher pay with less doctoral stress.
A practical method is offered: match PhD work to industries that hire doctorates and verify where people from the same lab end up.

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