There are several reasons why different scientists may reach different conclusions about a similar subject, even though they are all using the scientific method:
Different data and samples: Scientists may be using different data or samples, which can lead to different results. For example, if two scientists are studying the same disease, one may be studying a small, specific population, while the other may be studying a larger, more diverse population.
Different experimental design: Scientists may be using different experimental designs, which can lead to different results. For example, if two scientists are studying the effect of a drug on a particular condition, one may be using a double-blind, randomized controlled trial, while the other may be using an observational study.
Different analysis methods: Scientists may be using different analysis methods, which can lead to different results. For example, if two scientists are analyzing the same data, one may be using a statistical technique that is more sensitive to certain patterns, while the other may be using a different technique.
Personal biases: Scientists are humans and like everyone, they can have personal biases that can affect their interpretation of data. For example, a scientist may have a preconceived idea about a particular hypothesis and may unknowingly interpret data in a way that supports their preconceived idea.
Different scientific fields: Scientists from different fields may have different perspectives and may approach a problem differently. For example, a physicist and a biologist may have different ways of approaching a problem related to the study of a particular molecule.
It is important to note that scientific research is often a gradual process and the scientific community works together to validate or refute findings through replication and peer review, it is important to consider multiple studies and perspectives in order to have a more complete understanding of a particular subject.
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