Statistics Professional Values and Ethical Principles

Our Statistical Professional Values ​​and Ethical Principles(1) that are the common values ​​we share with the International Statistical Institute, the American Statistical Association, the Royal Statistical Society and similar international professional organizations are respect, professionalism, honesty and reliability. For us,



  • To abide by the confidentiality of others and the promise of trust given to them,
  • To protect the data compiler institutions and organizations against the harm that may arise from the misuse of the results,
  • Not to conceal or understate the work of others;


  • Having Responsibility, Competence, Expert Knowledge and Knowledge Based Opinion,
  • Trying to understand the needs of those asking for help,
  • Using our statistical knowledge, data and analysis for the Common Good of society
  • Strive for the highest quality data collection and analysis,
  • Being responsible for the suitability of data and methods for purpose,
  • To discuss important points impartially and to try to contribute to the solution of problems,
  • To comply with the law and strive to change the laws that prevent correct statistical service,
  • To train oneself continuously both in the field of statistics and in the fields where statistical methods are applied,
  • Developing appropriate new methods,
  • Not acting as a party to an open conflict of interest,
  • Treat their employers responsibly;


Honesty and Reliability,

  • Being Independent, Impartial and Transparent,
  • To produce results by using statistical science without being affected by the pressures from politicians and research supporters,
  • Being transparent about the statistical methods used and keeping these methods open to everyone,
  • Strive to produce results that reflect the observed phenomena objectively,
  • Presenting data and analysis honestly and openly,
  • Being accountable,
  • Respecting Intellectual Property,
  • Let go of the thoughts that have been shown to be invalid and follow the thoughts that have a future,
  • To work for the logical consistency and empirical adequacy of data and results,
  • Valuing well-founded objective evaluation criteria.




1. Being objective


To aim for unflinching and unbiased objectivity, choosing and using only the methods that will give the most accurate results. Presenting all findings in a clear, complete and transparent manner, regardless of the results. Being particularly sensitive to the need to present findings that question a preferred conclusion. Taking action against foreseeable misinterpretation and misuse. Taking steps to notify potential users of misinterpretation and misuse. To communicate findings to the benefit of the widest possible community, in a way that does not harm any mass.


2. Clarifying Mutual Obligations, Responsibilities and Positions


Specify and fully understand the mutual obligations of the employer, client, or sponsor and statistician regarding their positions and responsibilities that may raise ethical issues. When giving advice and guidance, be careful to stay in your own field of competence and, if necessary, seek the opinion of those with relevant expertise.

3. Evaluating the Options Impartially

Thoroughly weighing the available methods and procedures, giving an objective assessment to the employer, client or sponsor about the advantages and limitations of the options along with the proposed method.


4. No Conflict of Interest


Not accepting tasks that will result in a personal or financial conflict of interest as a result of the work.


5. Avoiding Determined Consequences


Rejecting contractual terms and any attempt to draw predetermined conclusions from a proposed statistical study.


6. Keeping Private Information Confidential


To keep confidential information other than the methods and procedures used in the conduct of the research and published data.

7. Demonstrating Professional Competence

To update professional knowledge and skills, to be aware of technological developments, methods and standards in their fields, and to direct others to this.


8. Building Confidence in Statistics


To ensure that the limits of reliability and applicability of the results and the explanatory power of the data are fully and accurately explained to the users in order to maintain and improve the public's trust in statistics.


9. Explaining Methods and Findings


To provide everyone with sufficient information to allow independent evaluation of methods, procedures, techniques and findings.


10. Sharing Ethical Principles


To ensure that the ethical principles of stakeholders are clearly understood and reflected in the tasks undertaken in studies carried out with colleagues or others in statistics or other fields.


11. Being Responsible for the Reliability of Statistics Science


Not to deceive, not knowingly misrepresent, not to try to prevent the emergence of bad and wrong practice, not to hinder the scientific or academic research of others.


12. Protecting Subject Rights


To protect the research subjects as much as possible against all possible undesired harm, individually or as a whole.




1.    EuroStat  

2.    UNStat  

3.    ISI 

4.    RSS  

5.    ASA 

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