* Through intuition or hunches: Scientific data needs to be objective and based on evidence, not on feelings or personal opinions.

* Through anecdotal evidence: This means relying on personal stories or isolated examples. While these can be interesting, they are not a reliable way to gather data.

* Through manipulation of existing data: Scientists must be honest and transparent with their data. Fabricating or altering data is unethical and undermines the entire scientific process.

* Through relying solely on authority figures: Even if an expert says something, it needs to be backed up by evidence and be subject to scrutiny. Science relies on questioning and testing, not blind faith.

* Through wishful thinking or confirmation bias: Scientists strive for objectivity and avoid seeking only evidence that confirms their pre-existing beliefs.

Instead, scientists rely on these methods to gather data:

* Experiments: Carefully controlled procedures to test hypotheses.

* Observations: Recording data from natural phenomena or controlled settings.

* Surveys: Gathering information through questionnaires.

* Interviews: Gathering detailed information from individuals.

* Modeling: Using computer simulations to test theories or make predictions.

* Data mining: Analyzing large datasets to find patterns and relationships.

The key takeaway is that scientific data must be reliable, objective, and verifiable.