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8 PhD Tips That Will Make You CRINGE...But Actually WORK! thumbnail

8 PhD Tips That Will Make You CRINGE...But Actually WORK!

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

Use “yet” to treat missing results as temporary and keep attention on problem-solving rather than permanent self-judgment.

Briefing

PhD success often comes down to reframing failure and time pressure into a repeatable process: treat setbacks as temporary, learn quickly, and keep moving in small, controllable steps. A key tactic is adding the word “yet” when something isn’t working—“I haven’t got the results I need yet.” That tiny linguistic shift helps prevent a spiral into permanent self-judgment and keeps attention on solving the problem rather than sitting in a “pit of failure.” The same mindset supports “fail fast and fail often,” which is less about courting mistakes and more about using early experiments to learn what doesn’t work. In the early stages, frequent failure helps map the boundaries of what’s possible; later, the work narrows as the approach that actually works becomes clearer.

Another pressure point is how people respond emotionally to repeated non-results. “Celebrate failure” can sound cringe when someone is actively failing, but the practical version is to treat failed attempts as evidence of progress—especially when a group normalizes it. A community that asks, “How have you failed today?” turns failure from a personal verdict into a shared learning loop. That reframing matters because the first emotional hit of disappointment is often the moment where momentum dies; getting past it—“that was great because now I know this”—keeps research moving.

The transcript also pushes against perfectionism. “Aim to be one percent better every day” is presented not as a motivational slogan but as expectations management: do a little work daily, even if it’s only ten minutes, and accept that some days feel like backsliding. Over years, tiny improvements compound. Similarly, “done is better than perfect” replaces the idea that extra hours will meaningfully change outcomes. Once a thesis or paper reaches a solid standard, the marginal gains from polishing may be invisible to most readers, while pushing work out into the world builds momentum, feedback, and career leverage.

Stoicism supplies the emotional mechanics behind these habits. Events aren’t inherently good or bad; they become so through personal perception. When something goes wrong in a PhD, the recommended move is to step back into a “middle ground” view: it happened, and the only useful question is what to do next. Closely related is focusing only on what’s controllable. Worrying about external factors—like other people’s actions—serves no purpose, but controlling one’s reaction and next steps does. A simple self-audit (“Is this in my control?”) helps break spirals.

Finally, the advice insists that breaks aren’t a productivity failure. Taking guilt-free time off—through hobbies that enable a flow state, whether sewing, painting, charcoal portraits, or time with friends—supports creativity and enjoyment. Even with productivity-obsessed culture, the argument is that rest improves long-run output, and researchers should take afternoons, evenings, weekends, or even a full week when needed.

Cornell Notes

The core message is that PhD progress comes from reframing failure and managing effort in small, repeatable steps. Using “yet” turns setbacks into temporary states, while “fail fast and fail often” helps researchers learn the boundaries of what works early and double down later. Emotional resilience is built through stoic thinking: events are neutral, and the response is what matters; focus on what can be controlled. Perfectionism is treated as diminishing returns—getting work to a publishable standard and releasing it beats endless polishing. Breaks are positioned as essential, not optional, because hobbies and rest restore creativity and sustain motivation over years.

Why does adding the word “yet” matter for research mindset?

“Yet” reframes a missing result as temporary rather than permanent. Saying “I haven’t got the results I need yet” shifts attention toward the next actions required to solve the problem, instead of locking the mind into a failure spiral. The practical effect is to keep the focus on effort and problem-solving, not on treating the current outcome as a fixed identity.

What does “fail fast and fail often” mean in early PhD work?

It’s not about random mistakes; it’s about running experiments early enough to learn quickly. Frequent failure helps reveal which paths are viable and which are dead ends. As the PhD progresses, the work narrows: researchers “hone in” on approaches that work and invest more heavily in them near the end.

How can “celebrate failure” be made useful instead of cringe?

The useful version is celebrating failed attempts because they show progress in learning. The transcript emphasizes the first emotional hit of disappointment as the critical moment—getting past it by reframing failure as new knowledge. A group can reinforce this by asking, “How have you failed today?” so failure becomes a normal part of the process rather than a personal verdict.

Why is “one percent better every day” presented as an expectations strategy?

The point isn’t to perform heroic productivity daily; it’s to do small, consistent work. Even an off day can include a short session—sometimes ten minutes—so momentum survives. Over years, tiny improvements compound, and occasional backsliding from failure doesn’t negate the overall trajectory.

What’s the argument against perfection in thesis writing?

Once a thesis or paper reaches a certain standard, extra polishing often delivers diminishing returns. The transcript claims that the last few percentage points may not be noticed by most readers, while delaying release reduces feedback and momentum. “Done is better than perfect” is framed as a strategy to get work into the world and keep moving.

How do stoicism and “control” reduce spirals during a PhD?

Stoicism is used to separate events from judgments: something isn’t inherently good or bad; it becomes so through perception. When something goes wrong, the next step is to ask what can be done now. The “control” rule adds a practical filter: worry about external factors less, because they can’t be changed; focus on controllable reactions and actions. A quick list—“What’s in my control?”—helps redirect energy.

Review Questions

  1. Which mental shift does “yet” create, and how does that change day-to-day behavior when results aren’t coming?
  2. How can a research group structure conversations so failure becomes learning rather than a personal blow?
  3. What are the diminishing-returns limits of perfectionism, and how should that affect decisions about when to submit or publish?

Key Points

  1. 1

    Use “yet” to treat missing results as temporary and keep attention on problem-solving rather than permanent self-judgment.

  2. 2

    Adopt “fail fast and fail often” early to map what’s viable, then double down on approaches that survive repeated tests.

  3. 3

    Reframe failure as progress by learning from the first disappointment hit and, when possible, normalize it in a supportive group.

  4. 4

    Aim for small daily progress (even ten minutes) and treat “one percent better” as consistency and expectations management, not constant peak performance.

  5. 5

    Prioritize “done is better than perfect” once work reaches a solid standard, because marginal improvements may not be noticeable.

  6. 6

    Apply stoicism by treating events as neutral and focusing on what to do next rather than dwelling on emotional labels.

  7. 7

    Take guilt-free breaks through hobbies that create flow, since rest supports creativity and long-term output.

Highlights

Adding “yet” turns a current lack of results into a temporary state, helping prevent spirals into permanent failure thinking.
Early “fail fast and fail often” functions like boundary-testing: it reveals which research paths are viable before the endgame.
Stoicism is used as a practical tool: events are neutral, judgments come from perception, and the next step matters more than the emotional verdict.
Perfectionism is framed as diminishing returns—once a thesis is at a good standard, extra polishing may not be worth the delay.
Breaks aren’t optional for creativity: hobbies and flow-based downtime help sustain research energy over years.

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