Brainwave Science/Brain Fingerprinting Laboratories, Government Works, Inc., 257 Turnpike Road, Suite 220, Southborough, MA 01772 USA.
Cogn Neurodyn. 2013 Apr;7(2):159-66. doi: 10.1007/s11571-012-9238-5. Epub 2013 Jan 9.
Farwell in Cogn Neurodyn 6:115-154, (2012) reviewed all research on brainwave-based detection of concealed information published in English, including the author's laboratory and field research. He hypothesized that specific methods are sufficient to obtain less than 1 % error rate and high statistical confidence, and some of them are necessary. Farwell proposed 20 brain fingerprinting scientific standards embodying these methods. He documented the fact that all previous research and data are compatible with these hypotheses and standards. Farwell explained why failure to meet these standards resulted in decrements in performance of other, alternative methods. Meijer et al. criticized Farwell in Cogn Neurodyn 6:115-154, (2012) and Farwell personally. The authors stated their disagreement with Farwell's hypotheses, but did not cite any data that contradict the three hypotheses, nor did they propose alternative hypotheses or standards. Meijer et al. made demonstrable misstatements of fact, including false ad hominem statements about Farwell, and impugned Farwell's motives and character. We provide supporting evidence for Farwell's three hypotheses, clarify several issues, correct Meijer et al.'s misstatements of fact, and propose that the progress of science is best served by practicing science: designing and conducting research to test and as necessary modify the proposed hypotheses and standards that explain the existing data.
法威尔在《认知神经动力学》6:115-154 期(2012 年)中综述了所有关于基于脑波探测隐藏信息的英文研究,包括作者实验室和实地研究。他假设,特定的方法足以获得低于 1%的错误率和高统计置信度,其中一些方法是必要的。法威尔提出了 20 项脑纹识别科学标准来体现这些方法。他记录了这样一个事实,即所有以前的研究和数据都与这些假设和标准相符。法威尔解释了为什么不符合这些标准会导致其他替代方法的性能下降。迈耶等人在《认知神经动力学》6:115-154 期(2012 年)中对法威尔和法威尔本人进行了批评。作者表示不同意法威尔的假设,但没有引用任何与三个假设相矛盾的数据,也没有提出替代假设或标准。迈耶等人提出了明显的事实错误,包括对法威尔的虚假人身攻击,并对法威尔的动机和性格提出质疑。我们为法威尔的三个假设提供了支持证据,澄清了几个问题,纠正了迈耶等人的事实错误,并提出科学的进步最好通过实践科学来实现:设计和进行研究以检验和必要时修改提出的假设和标准,以解释现有的数据。