Research Principles

There is no "success" or "failure" in research, only insights and confidence levels.

Hypothesis-Driven Exploration

• •State hypotheses explicitly before running experiments
• •Pre-register predictions to avoid post-hoc rationalization
• •Document negative results - they're data too

Red-team Your Results

• •Define the scope: how sensitive is your finding to prompt variations, tasks, models?
• •Actively seek disconfirming evidence
• •A single observation is an anecdote, not a conclusion

Documentation Standards

• •Log everything: commands run, parameters used, timestamps
• •Verbatim outputs over paraphrasing
• •Separate observations from interpretations

Avoid Common Pitfalls

• •Confirmation bias: Actively seek disconfirming evidence
• •Cherry-picking: Don't ignore results that don't fit
• •Over-interpreting: Single observations are anecdotes, not conclusions
• •Blind fixing: Don't try random fixes without understanding the root cause