How I turned seemingly 'failed' experiments into a successful PhD

Nature of “failed experiments” in PhDs

• Some say the described experience is entirely typical: everyone must turn dead-ends into something thesis-worthy before funding runs out.
• Others argue the piece doesn’t claim uniqueness; it’s just a personal narrative about feeling like a failure.
• Debate over whether the highlighted protocol change that eventually worked really counts as “failed experiments” or just normal troubleshooting.
• Several note that genuine null results usually do not become theses or publications, making this case somewhat unusual.

Perseverance, luck, and academic politics

• PhDs are seen as largely about perseverance, but commenters stress luck (advisor changes, pandemics, visa issues) and strategy (field choice, funding density, politics).
• Oncology is described as far better funded than infectious disease due to market size and government priorities; trend-chasing (e.g., CRISPR, CAR‑T, mRNA, AI) strongly shapes careers.
• NIH RePORTER is cited as an underused tool to see where money actually goes.

Handling null/negative results and the nature of science

• Negative results are hard to publish and rarely form theses; students often must “twist” them into a different, publishable question.
• Some celebrate initiatives and journals that explicitly publish negative results, arguing they prevent wasted effort and can spark new ideas (even in math).
• One theme: science advances mainly by disproving hypotheses, not by “proving” them.

Structure and timelines of PhD programs

• Major differences noted between US and various European systems:
  • In parts of Europe, funding is often ~3 years with little coursework; failing to finish can mean losing building access.
  • UK and Australia typically fund ~3.5–4 years; US programs can stretch 5–7+ years with more coursework/teaching.
• Requirements vary widely: some programs formally demand multiple first‑author publications; others require only one or none explicitly.

PhD simulator and lived experience

• Many discuss a browser “PhD simulator”: some find it uncannily accurate, others think it exaggerates.
• Shared experiences include long durations, ideas failing for years, and rewriting work “as if it was great.”
• There’s substantial reflection on whether doing a PhD is economically and personally worthwhile; some regret it, others describe it as an ideal, intellectually free period.

Practical research advice and collaboration

• Strong emphasis on:
  • Asking for help early; many realize too late that a short discussion can unblock months of stuck work.
  • Collaboration and idea exchange as central to research success.
  • Starting with extensive reading to avoid reinventing the wheel, though some in CS favor rapid prototyping instead.
  • Maintaining multiple and backup projects, expecting most experiments to fail or never be published.
• Divergent views on the “true” goal of a PhD: personal understanding vs. hitting publication quotas; tension between intrinsic learning and publish‑or‑perish incentives is repeatedly highlighted.