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V. Dr. Smith is incensed by the review and believes it came from a biased competitor. He clarifies with his lab that the experiment in question had been performed four times and worked twice, so they can state that they performed four repeats. He suggests that they find another statistical test that supports the "right" answer, and that extra data points be added as needed to achieve statistical significance. He asks his postdocs to find another cell line that gives the same results, another inhibitor, and another assay that can support the claims, with minimum sample sizes to complete their work within the 3 -month resubmission deadline. Although a postdoc has lost some of the primary data, they agree to send just enough to satisfy the journal. Their division director is sympathetic to these efforts, and they think they understand him to say: "Because research is often handicapped by imperfect instruments and biological variability, judicious selection of methods and data is sometimes necessary to support visionary ideas and success in our tough field," VI. A. With hard work and skillful revisions, each paper is accepted for publication in Highimpact. When members of the two labs see posters from the other lab at a major conference, they discover to their surprise that their protein sequences are identical. Each group is sure that the other is wrong because they see contradictory effects on tumor cells. 1. Is it possible that both labs are correct? How might this occur, and can you provide any examples? 2. Might local lab environmental or other conditions in their institutions affect the results, such as conditions in their cell culture and animal facilities, different chow, etc.? 3. If you were Dr. Smith or Dr. Garcia, what would you do? 4. What if you were a lab member