Chapter 2: Problem 15
Why doesn't science accept personal testimony as evidence? Explain.
Short Answer
Expert verified
Science requires objective, reproducible evidence; personal testimony is subjective and unreliable.
Step by step solution
01
Define Evidence in Scientific Context
In science, evidence refers to objective data obtained through systematic observation, measurement, and experimentation. It must be reproducible and independently verifiable by others in the scientific community.
02
Understand Personal Testimony
Personal testimony is an individual's account or experience of an event. It is subjective and influenced by personal beliefs, perspectives, and biases.
03
Highlight the Limitations of Personal Testimony
Personal testimony can be unreliable due to memory inaccuracies, exaggerations, or misinterpretations. It lacks the reproducibility and objectivity required for scientific validation.
04
Discuss the Need for Objectivity
Science relies on objective evidence to ensure findings are consistent and universally applicable. Personal testimony does not meet these criteria because it cannot be independently verified.
05
Explain the Role of Peer Review
Scientific evidence is typically reviewed by other experts in the field through a peer-review process, ensuring that findings are based on solid, objective data rather than personal accounts.
Unlock Step-by-Step Solutions & Ace Your Exams!
-
Full Textbook Solutions
Get detailed explanations and key concepts
-
Unlimited Al creation
Al flashcards, explanations, exams and more...
-
Ads-free access
To over 500 millions flashcards
-
Money-back guarantee
We refund you if you fail your exam.
Over 30 million students worldwide already upgrade their learning with Vaia!
Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Objective Data
Science thrives on objectivity to uncover truths about the universe. Objective data is information that is measurable and observable by anyone, irrespective of their beliefs or biases. This means it can be systematically checked and validated by different researchers, ensuring accuracy and reliability. The hallmark of objective data is its reproducibility, which allows studies to be repeated and results confirmed by others. This is crucial, as science aims to develop a consistent and universal understanding of phenomena.
- Measurable: Can be quantified using instruments or recorded through experiments.
- Observable: Evident and perceivable by individuals without bias.
- Reproducible: When the same method is used, the same results should be achieved.
Personal Testimony
Unlike objective data, personal testimony is deeply subjective. It is based on an individual's personal experiences, which can vary greatly from person to person. Our memory and perception are not always accurate, and they can be influenced by numerous factors, such as emotions or preconceived beliefs.
With personal testimony:
- Subjective: Driven by personal views and experiences.
- Inconsistent: Different people might recall the same event differently.
- Non-reproducible: Only the person who had the experience can verify its authenticity.
Peer Review
The peer review process is an essential facet of scientific research. It involves having other experts in the field evaluate a study before it is published. This process acts as a form of quality control, ensuring that only research meeting high standards reaches the public.
During peer review:
- Experts assess: Peers evaluate study design, methods, and conclusions.
- Maintain integrity: Ensures research is based on solid, objective data.
- Feedback provided: Authors receive constructive critiques to improve the study.
Systematic Observation
Systematic observation is a cornerstone of scientific investigation. It involves carefully and methodically watching phenomenons to collect useful data. Unlike casual observation, it follows a structured approach to ensure information is gathered in a repeatable and unbiased manner.
Key elements include:
- Structured: Observations follow a predetermined set of criteria.
- Controlled: Variables are managed to reduce bias and variability.
- Consistent methods: Ensures observations can be replicated and confirmed.