“In every instance where the findings of archaeology pertain to the Biblical record, the archaeological evidence confirms, sometimes in detailed fashion, the historical accuracy of Scripture. In those instances where the archaeological findings seem to be at variance with the Bible, the discrepancy lies with the archaeological evidence, i.e., improper interpretation, lack of evidence, etc.—not with the Bible.”
—Dr. Bryant C. Wood, archaeologist
How about this guy?
He's a good example. Wood didn't start out in archaeology, but another field altogether. He went into archaeology in order to support his conclusions regarding biblical scriptures (namely that Judeo-Christian mythology is inerrant), which isn't necessarily a bad thing. The problem is, once he began his education in archaeological methods, he appears not to have appropriately applied them to his studies.
He's, perhaps, most famous for his conclusions on Jericho. In spite of very scientific approaches to the study of Tell es-Sultan (Jericho). In the 1950's, Kathleen Kenyon excavated the tell not with a set of conclusions to which she sought supporting data, but because she saw data that needed conclusions. That data being the existence of a small hill on an otherwise flat region. Her data showed that a destruction layer (Jericho IV) existed which could be dated to 1550 BCE. The biblical chronology of the mythical story in Joshua of the destruction of Jericho is alleged by biblical scholars to be 1400 BCE.
Wood ignored the scientific data and used several lines of data of his own, which have each been refuted by other archaeologists. A recent refutation comes in the form of Bruins and Van der Plicht (1995) which dated charred cereal grains found at Jericho to a date consistent with Kenyon's.
"Biblical archaeologists" begin with conclusions to which they seek to vindicate. Data that contradicts these conclusions are ignored and only data which are supportive are accepted.
Archaeologists, however, begin with research questions to which they seek falsify. Should the data contradict their hypotheses, they ask new questions. They seek data which contradict
first and, when these data aren't present or are overshadowed by supportive data, only then are conclusions drawn.