This question tests understanding of the scientific method, emphasizing the iterative nature of hypothesis testing. The core concept is that when new evidence contradicts an initial hypothesis, the hypothesis must be revised, not discarded, ignored, or misrepresented. * **Core Concept:** Scientific method, hypothesis revision, and data analysis. * **Solution Analysis:** The correct approach (B) is to modify the hypothesis based on the new data. This reflects a flexible and rational scientific process. Option A is too drastic and inefficient, as the current data still provides value. Option C ignores crucial contradictory evidence, while option D is unethical and misleading. * **Option A:** This option represents an extreme reaction to data that doesn't fit the initial idea. It ignores the fact that there could be useful information in the original data, even if it disproves the first hypothesis. * **Option B (Correct):** This represents the iterative process of science. Hypotheses aren't set in stone; they are tested and revised when new information arises. This option correctly demonstrates the core idea of constantly learning and adapting scientific understanding. * **Option C:** Ignoring data that contradicts a hypothesis is a cardinal sin in the scientific process. Data that doesn't agree with your idea is not something to be shoved aside; it’s something to be investigated. This option presents the opposite of critical thinking. * **Option D:** This is an unethical approach and completely goes against the spirit of open and transparent science. It displays an inability to be objective and presents a dishonest conclusion. **Key takeaway:** The core of the scientific method lies in its iterative nature; hypotheses are fluid, tested, and revised based on data. The correct option directly addresses this crucial understanding.