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We test theories that may be neither proven false nor proven true. We present the ideas, evidence, and arguments - and let you decide. Welcome to "The Editorial Review" - a platform for authors, writers, researchers, discussion groups, and individuals who want to explore theories, professional observations, research questions, and perspectives with readers. At present, the articles and papers published here have been written by Randeep Dosanjh. The project began with independent research and writing assignments and later grew through discussions with his reading group, inspiring the idea of opening the platform to other writers. Randeep brings more than 20 years of experience in the IT industry, including Data Engineering, Data Analytics, Information Systems, enterprise technology, and technology strategy. His work has included projects and engagements supporting Fortune 500, Fortune 1000, and government organizations. His academic and professional development includes graduate-level studies in Data Science and Statistics at MIT, together with a two-year, 11-course IBM Data Science Professional program and designation. His writing draws on academic study, professional experience, independent research, and industry observation. *Our goal is for The Editorial Review to grow into an open platform for writers.* Writers may present ideas, investigate questions, develop theories, and invite thoughtful discussion. The Editorial Review currently has no formal editorial staff, so writers are responsible for reviewing, editing, fact-checking, and improving their work before publication. It is intended to encourage developing ideas and discussion, not to operate as a traditional peer-reviewed academic journal. We also welcome editors, students, interns, and volunteers who would like to contribute. Welcoming Regards, Read Randy's book on A.I., hiring & a data science statistics analysis: https://www.amazon.com/BUILDING-WITHOUT-PERMISSION-Recruitment-Gatekeeping/dp/B0HC3BD96G
