verb to remain valid or applicable; to be accurate or correct
In scientific research, theories and hypotheses must be tested to see if they hold true in various experiments and observations.
Philosophical arguments and beliefs must hold true based on logical reasoning and evidence.
Mathematical equations and principles must hold true in order to solve problems accurately and effectively.
Legal arguments and interpretations must hold true in court in order to reach a just verdict.
Engineering designs and calculations must hold true in practice to ensure the safety and efficiency of structures and systems.
Economic theories and models must hold true in real-world scenarios to be considered valid and reliable.
In the field of journalism, the principle of 'hold true' is essential for ensuring the accuracy and reliability of news articles.
Psychologists rely on the concept of 'hold true' when conducting research studies to ensure that their findings are valid and can be replicated.
Scientists use the term 'hold true' to describe the consistency of experimental results, which is crucial for establishing scientific theories.
Lawyers often use the phrase 'hold true' when referring to legal precedents and principles that have been established through court decisions.
In accounting, the concept of 'hold true' is important for maintaining the integrity of financial statements and ensuring compliance with regulatory standards.
Engineers apply the principle of 'hold true' in designing and testing new technologies to ensure that they meet performance and safety standards.
Medical doctors rely on the concept of 'hold true' when diagnosing and treating patients, as it ensures the accuracy and effectiveness of medical interventions.
Teachers use the idea of 'hold true' to emphasize the importance of factual accuracy and critical thinking skills in educating students.
In marketing, the principle of 'hold true' is crucial for building trust with consumers and maintaining brand credibility through honest and accurate advertising.
Data analysts use the concept of 'hold true' to validate the accuracy and reliability of data sets before drawing conclusions or making business decisions.