I gave the talk I wish I had attended during my PhD! Invited talk recording

TL;DR

Identity should be separated from performance: “you are not your career,” so well-being and relationships aren’t treated as collateral for academic results.

Briefing Cornell Notes

Briefing

Success in academia, and even in life beyond it, depends less on chasing outcomes like citations, grants, or job titles—and more on daily self-management: identity, goals, controllables, and consistent small improvements. Andrew Stapleton frames the core problem as an inward failure of focus. PhD students and early-career researchers spend so much energy trying to control external markers of status that they lose direction, burn out, and end up feeling trapped in a competitive system where the biggest levers are often out of reach.

His first prescription is identity separation: “you are not your career.” The pressure to be “the clever one” can fuse personal worth to academic performance, making setbacks feel existential. Stapleton argues that research careers reward steady, incremental work rather than last-minute cramming, yet many people still treat their worth as if it were tied to external validation. The antidote is constant self-reminding that happiness, relationships, and well-being shouldn’t be dictated by research success.

Second comes goal clarity. Stapleton emphasizes that goals must be specific enough to guide decisions, but they also need to be broken into actionable steps. He describes leaving academia after a postdoc phase because he knew he didn’t want the academic track, even though he lacked a clear alternative at the time. Over the next three years, he “fumbled in the dark” until he found purpose through science communication—eventually building a startup, verbalize.science, and growing a YouTube channel aimed at helping “lost” PhD and academic souls navigate career uncertainty.

Third is a practical mindset borrowed from stoicism: focus on what’s in your control. Stapleton contrasts controllable inputs—lab time, writing, structuring days—with uncontrollable outcomes such as citation counts, journal acceptance, and whether grants are awarded. He gives a personal example: after leaving academia, his age index and citations rose even without applying for grants, which he attributes to shifting attention away from metrics and toward the work he could directly influence. He also reframes grant-seeking: instead of “getting grants,” the controllable goal becomes “applying for X grants per year.”

Fourth is daily compounding through “one percent improvement.” Rather than waiting for perfect execution, he urges researchers to take imperfect but consistent action every day toward their goals—whether that’s producing content, reaching out to customers, or making progress on experiments and writing. He argues that consistency beats perfection because it builds momentum and reduces anxiety from constant comparison, including the social-media habit of measuring one’s progress against others.

In Q&A, Stapleton adds that long-term goals (even a 10-year target) should exist, but they must be translated into short-term, controllable steps—since academia’s grant cycles and uncertainty make distant planning feel abstract. He also addresses the fear of leaving: rather than treating departure as failure, he points to the rarity of reaching stable 10-year academic positions (less than 1% of PhDs, based on his cited timeframe). Finally, he tackles advocacy versus attachment to outcomes: continue pushing for better conditions for early-career researchers, but detach from decision-maker results and focus on advocacy actions that remain within one’s control.

Cornell Notes

Andrew Stapleton’s central message is that academic success and career satisfaction come from managing the controllables: identity (“you are not your career”), clear goals, a stoic focus on inputs rather than outcomes, and daily compounding through small improvements. He argues that metrics like h-index, citations, and grant awards are largely outside direct control, so researchers should set controllable targets such as lab time, writing schedules, and the number of grant applications submitted. He also stresses consistency over perfection—imperfect daily action toward a goal compounds over months and years. The practical payoff is less stress, more progress, and a clearer path for PhD students and early-career researchers deciding between academia and other options.

Why does Stapleton insist that “you are not your career,” and how does that change day-to-day behavior?

He links academic identity to the “clever one” narrative that starts in school and can harden into self-worth tied to grades, grants, and recognition. In a PhD, external validation doesn’t arrive on demand—research requires steady work and can’t be crammed—so tying identity to outcomes fuels anxiety and makes setbacks feel personal. The behavioral shift is to treat research performance as one part of life rather than the definition of it, protecting relationships and well-being while still working hard.

What does “clear goals” mean in practice for someone navigating academia’s uncertainty?

Stapleton argues that goals must be crystal clear enough to guide decisions, but they should be broken into actionable steps. He describes setting long-term aspirations while focusing daily on controllable actions. In Q&A, he adds that long-term goals (like a 10-year target) should be split into short-term steps because academia’s grant cycles and unknowns make distant planning too vague to execute directly.

How does the “what is in your control?” framework work with specific academic metrics?

He contrasts controllable inputs with uncontrollable outcomes. For example, h-index can’t be directly forced: citations depend on others, and journal acceptance depends on editorial decisions. Grants can be applied for, but “getting a grant” isn’t controllable. The framework turns vague outcome pressure into input targets—e.g., “apply for X grants per year,” schedule lab time, and structure writing so progress is measurable even when results aren’t guaranteed.

What is “one percent improvement,” and why does he claim it beats waiting for perfection?

Stapleton’s rule is to ask daily what tiny improvement can be made toward the goal—then do it imperfectly but consistently. He argues that momentum comes from repeated action, not flawless execution. In his own work, he says growth in verbalize.science and his YouTube channel came from producing content regularly and taking many imperfect steps rather than waiting until communication or marketing felt “good enough.”

How should someone think about leaving academia if they fear regret or sunk-cost pressure?

He describes sunk-cost as the feeling that success so far (funding, students, early wins) creates an obligation to continue even when the path won’t work. Regret, in his framing, often comes from delaying decisions and focusing on the wrong things. His suggested approach is to build evidence of what you like to do outside academia first—through a portfolio (e.g., blogging that led to an internship)—then take small steps until the alternative becomes clearer.

Does advocating for change mean giving up on outcomes?

No. Stapleton says advocacy should continue, but attachment to decision-maker outcomes should be avoided. The controllable part is the advocacy action itself—keeping pressure on systems that affect early-career researchers—while recognizing that outcomes may take time and can’t be forced.

Review Questions

Which academic outcomes in Stapleton’s framework are least controllable, and what controllable inputs can replace them as targets?
How would you translate a long-term goal (e.g., staying in academia or moving to industry) into daily “one percent improvement” actions?
What identity shift does Stapleton recommend for PhD students, and what practical risks does identity fusion create during setbacks?

Key Points

1
Identity should be separated from performance: “you are not your career,” so well-being and relationships aren’t treated as collateral for academic results.
2
Goals need to be specific and broken into short-term, executable steps; long-term targets should exist but be translated into controllable actions.
3
A stoic focus on inputs reduces anxiety: set targets you can influence (lab time, writing, applications) rather than obsessing over outcomes (citations, acceptance, grant awards).
4
Grant success should be reframed from “getting funded” to “applying for X grants per year,” turning uncertainty into a controllable process.
5
Daily compounding matters: ask what one percent improvement can be made today and take imperfect action consistently rather than waiting for perfection.
6
Social comparison fuels stress; progress improves when attention stays on controllables and consistent effort instead of others’ metrics.
7
Advocacy for early-career researchers should continue, but attachment to decision-maker outcomes should be avoided so motivation doesn’t collapse.

Highlights

Stapleton’s core replacement for outcome-chasing is input-chasing: citations, journal acceptance, and grant awards can’t be directly controlled, but lab time, writing schedules, and application volume can.

The “one percent improvement” rule turns career progress into daily behavior—imperfect, repeatable actions that compound over time.

He argues that many PhD students drift because they lack clear goals; undirected postdocs and grant treadmill life lead to dissatisfaction.

In Q&A, he reframes leaving academia as data-informed rather than failure, noting that stable 10-year academic positions are extremely rare (less than 1% of PhDs, based on his cited timeframe).

Topics

Academic Career Advice
Goal Setting
Stoicism
Science Communication
Early-Career Navigation

Mentioned

verbalize.science
smarttribe.io
Andrew Stapleton