Science is one of humanity’s greatest inventions. We depend on it to address some of society’s most pressing challenges in human health, planetary wellness and economic development. But one of science’s new challenges is the well being of science itself. The reproducibility crisis, publication bias, p-hacking, and misaligned motivations are just a few of the maladies of the research enterprise. Turning the microscope on science and technology, this talk will address these issues with a focus on how the research field of software engineering can become more resilient to misinformation through refined research practices, modified publication norms, and training in how to spot and refute bullshit wrapped in data deference, statistical black-boxes, and overly confident algorithmic design.