How would a pseudoscientist would try to test a new medicine

Pseudoscientists often employ methods that lack rigorous scientific standards and can lead to misleading conclusions about the efficacy and safety of a new medicine. Here are some typical approaches they might use:

1. **Anecdotal Evidence**: Relying heavily on personal stories or testimonials rather than controlled clinical trials. They may present case studies of individuals who experienced positive outcomes without any systematic evaluation.

2. **Small Sample Size**: Conducting trials with very few participants, which limits the ability to generalize findings and can lead to spurious results due to random chance.

3. **Lack of Control Groups**: Failing to use control groups for comparison, which makes it impossible to determine whether the observed effects were due to the medicine itself or other factors (like placebo effects).

4. **Vague or Non-existent Methodology**: Providing unclear, incomplete, or non-standardized methods for testing, making it difficult to replicate the study or validate the results.

5. **Cherry-Picking Data**: Selectively presenting data that supports their claims while ignoring evidence that contradicts them, leading to skewed interpretations of the results.

6. **Overemphasis on Positive Results**: Focusing solely on positive outcomes while downplaying or ignoring negative side effects or failures in the clinical testing process.

7. **Misinterpreting Statistics**: Misusing statistical analyses or overinterpreting the significance of results, such as claiming efficacy based on p-values without proper context.

8. **Ignoring Established Research**: Disregarding existing scientific literature and established knowledge in the field, often claiming that conventional science is flawed or part of a conspiracy.

9. **Promotion through Non-scientific Channels**: Utilizing marketing tactics through social media, alternative medicine platforms, or infomercials to promote their findings rather than engaging with the scientific community.

10. **Overgeneralizing Findings**: Making broad claims based on limited or irrelevant data, suggesting that the medicine works for all conditions or demographics without adequate evidence.

Because of these methods, findings from pseudoscientific approaches often lack reliability, reproducibility, and scientific credibility, which can pose risks to public health if such products are promoted as effective treatments.