Bias Quote by Uri Bram
““Selection Bias: basically, that your inferences will be biased if you use a non-random sample and pretend that it’s random.””
About This Quote
Source Lecture: Statistics class, 2018
Non‑random samples produce misleading conclusions, so assuming randomness leads to error.
In simple terms: Bias occurs when samples aren't random.
Key Takeaway
Ensure samples are truly random before drawing conclusions.
Themes
methodology
bias
research
statistics
Mood
analytical
cautious
Type
educational
technical
When to use this quote
- market research
- clinical trials
- polling
- academic studies
Key Concepts
sampling theory
inference
data integrity
Questions to Reflect On
- What steps can you take to detect hidden biases?
- How does bias affect decision‑making?
A Different Perspective
Randomness is hard to achieve in real‑world data collection.
