Fact, Value and Objectivity
What is a Fact?
A fact is an empirically verifiable observation—something that can be checked and confirmed through experience or evidence.
Facts are considered definite, certain, and unquestionable within the conditions under which they are observed.
They are viewed as objective, meaning their truth does not depend on personal opinions or interpretations.
Example: “Water boils at 100°C at sea level” is a fact because it can be repeatedly observed and verified through experiment under the same conditions.
What is Value?
A value refers to a moral judgment about what is good, desirable, or what ought to be.
Values are subjective and shaped by personal beliefs, emotions, and cultural norms.
They are not objectively verifiable, as different individuals and societies may hold different moral viewpoints.
Example: “Helping those in need is essential” is a value because it reflects a moral belief, not an objective fact, and may vary across people or cultures.
What is Objectivity?
According to Robert Bierstedt, objectivity means that the conclusions of an investigation must remain independent of the investigator’s personal characteristics or biases.
These characteristics include race, colour, creed, occupation, nationality, religion, or political predisposition.
Objectivity requires that findings be based solely on evidence and inquiry, not influenced by the researcher’s values or background.
It ensures that research results are neutral, unbiased, and universally acceptable, regardless of who conducts the study.
Example: In a study on voting patterns, objectivity means analysing the data only through numerical trends and evidence, without letting the researcher’s political opinions influence the interpretation.
Thinker’s View
-
-
David Hume
-
The fact–value distinction originated during the Enlightenment.
-
Hume argued that humans cannot derive an “ought” from an “is”.
-
In other words, normative (value) statements cannot be logically grounded in descriptive (factual) statements.
-
-
Friedrich Nietzsche
-
Nietzsche emphasized that what makes a society great is not the content of its beliefs, but the act of valuing itself.
-
He highlighted the creative, interpretive nature of values, showing that values are human-made rather than universal truths.
-
-
Max Weber
-
Weber proposed a two-tiered approach to value-free social science.
-
He believed ultimate values cannot be justified scientifically—no religious, political, or social system can be chosen as “better” without personal values influencing the choice.
-
Thus, comparing different value systems always involves the analyst’s own values.
-
However, once a purpose, value, or end goal is chosen, social scientists can conduct value-free research to determine the most effective means to achieve that end.
-
Despite believing that ultimate values cannot be objectively evaluated, Weber held that social problems can still be scientifically analysed and solved using empirical methods.
-
-
The Fact–Value Dichotomy
1. Logical Positivists’ View
Logical positivists were concerned about the continued influence of God, religion, and morality in an increasingly scientific age.
They attempted to eliminate non-scientific ideas by defining them as meaningless.
They emphasized a strict dichotomy between facts and values, claiming only facts held scientific value.
According to them, facts can be verified, while values are merely emotions, feelings, or metaphysical notions and therefore unfit for scientific inquiry.
Ernest R. House noted that logical positivists believed only facts were legitimate subjects for science, while values were treated as irrational or subjective.
2. Observations Challenging the Dichotomy
Theory selection always presupposes values—researchers choose theories based on what they consider important or worthwhile.
Values influence theory choice, shaping which explanations are accepted or rejected.
Values structure and order facts, helping give meaning to data.
Values determine what counts as a “fact”, since identifying facts requires interpretation.
Some values themselves can be objective, not merely subjective preferences.
3. Conclusion
Facts and values are often intertwined and cannot always be separated.
Values are central to the process of knowing.
As Michael Polanyi stated, science is transmitted across generations through traditions, beliefs, and values that guide scientific practice.
Both facts and values can be discussed rationally and analysed logically.
Value statements can be objective, not merely expressions of personal taste.
It is incorrect to assume that all non-empirical truth claims fall into the category of subjective values.
Value Neutrality: Can Sociology be Value Free?
Weber’s View
Max Weber used the term value neutrality to describe the level of objectivity expected from researchers in social science.
Weber acknowledged that value neutrality is an ideal goal, but complete neutrality is impossible because researchers’ values influence the questions they ask and the methods they choose.
He argued that there can be no absolutely objective scientific analysis, especially in the social sciences.
Weber emphasized that facts do not speak for themselves; what we consider to be “facts” is shaped by the moral lenses through which we interpret the world.
Despite this, Weber believed sociologists can and must distinguish between empirical knowledge (what is) and value judgments (what ought to be).
Historical Context
The idea of value-free sociology emerged alongside positivism and scientific methods in the mid-19th century.
Positivists believed that separating facts from values would allow social scientists to discover universal laws and improve society.
Criticisms of Value Neutrality
Researchers’ values can unconsciously influence the research process, even when they claim neutrality.
It is unclear whether complete neutrality is possible, even in principle.
Some argue that value neutrality is not always desirable, since values may be necessary for choosing socially relevant topics or challenging injustice.
How to Achieve Objectivity and Value Neutrality?
Clear Research Design
Formulate clear objectives and standardized procedures to reduce subjective influence.
Example: Using structured surveys with neutral, carefully worded questions to avoid leading respondents.
Standardized Data Collection
Apply uniform methods across all participants to prevent inconsistencies caused by researcher influence.
Example: Conducting structured interviews with identical questions for every participant.
Use of Quantitative Methods
Rely on measurable, numerical data to limit subjective interpretation.
Example: Collecting statistics on income distribution to study inequality provides objective evidence.
Replication of Studies
Findings gain credibility when other researchers can repeat the study and obtain similar results.
Example: Repeating an educational outcomes survey with different groups to verify consistency.
Peer Review and Collaboration
Having other experts examine the research design helps identify unnoticed biases or assumptions.
Example: Sharing methodology with colleagues before data collection to refine neutrality.
Reflexivity
Researchers critically examine their own values, beliefs, and biases to prevent them from influencing the study.
Example: A researcher studying poverty acknowledges personal assumptions about wealth before analysis.
Triangulation
Using multiple methods or data sources to cross-check findings reduces the risk of bias in any single method.
Example: Combining surveys with observational data in a workplace study for a more complete perspective.
Previous Year Questions
- Examine the problems of maintaining objectivity and value neutrality in social science research. (2015)
- What is value-free Sociology? Clarify (2016)
- Examine Max Weber’s method of maintaining objectivity in social research. (2016)
- Distinguish between fact and value in Weber’s Protestant Ethic and Spirit of Capitalism. (2018)
- Is sociology a value-free science? Discuss. (2020)
- How does a researcher achieve objectivity in interpretative research? (2022)
- Do you think ‘objectivity’ is an over-hyped idea in sociological research? Discuss the merits and demerits of non-positivist methods. (2024)
Important Keywords
Positivism, Fact, Value and Objectivity, Robert Bierstedt, David Hume, Nietzsche, Fact-Value Dichotomy, Ernest R House, Observations, Value neutrality, Clear Research Design, Standardized Data Collection, Quantitative Methods, Replication of Studies, Peer Review and Collaboration, Reflexivity and Triangulation.
Non-Positivist Methodologies in Social Research
Home / Non-Positivist Methodologies in Social Research Shift from Positivism to Non-Positivism As sociologists recognized that social realities cannot be
UPSC Current Affairs – December 3
December 03rd Current Affairs Home / Table of Contents Govt ready to talk about electoral reforms in Parliament, but not
Fact, Value and Objectivity
Home / Fact, Value and Objectivity What is a Fact? A fact is an empirically verifiable observation—something that can be
UPSC Current Affairs – December 2
December 02nd Current Affairs Home / Table of Contents Bioterrorism a serious threat, world not ready: S. Jaishankar Relevance to
Positivism and its Critique
Home / Positivism and its Critique What is Positivism? Positivism is the idea that human behaviour can be studied using
UPSC Current Affairs – December 1st
December 01st Current Affairs Home / Table of Contents Sri Lanka declares state of emergency after floods and mudslides Relevance
Major Theoretical Strands of Research Methodology
Home / Major Theoretical Strands of Research Methodology Research methodology is a broad term that encompasses the entire research process
UPSC Current Affairs – November 25
November 25th Current Affairs Home / Table of Contents Woman from Arunachal Pradesh stopped at China airport; India issues strong
UPSC Current Affairs – November 24
November 24th Current Affairs Home / Table of Contents Justice Surya Kant sworn in as 53rd Chief Justice of India
UPSC Current Affairs – November 21
November 21st Current Affairs Home / Table of Contents What is Cloudflare, and why did half the internet go down
