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In TII
                , pp172-181, the author introduces a study of the topic Wrath and Anger
                 in the text of The Revelation of Jesus Christ. This is his central example in chapter 8, which is a full elaboration on the use of the scientific method in Theomatics research.  The author finds 16 unique 
                references to this topic in the text, and observes that the factor 190 produces hits in 15 of these references. He finds that taking the shortest hit from each reference, while not allowing duplicate phrases among these shortest 
                hits, produces a Word Length Average (WLA) of 2.60. Though this metric is quite unusual in that the author uses it only in this particular theomatic study, he claims that this is a statistically impressive event and 
                challenges the skeptic to produce similar features with 190 in a random gemmatria (letter-number assignment). An initial observation concerns reference Rev 
                16:19, which the author counts as two reference hits. It contains words for both Wrath and Anger, which happen to be juxtaposed in this reference. The author forms two distinct 3-word hits by taking a word on either 
                side of the two reference words and counts these as distinct references when it is in fact the same reference for each hit. A second observation concerns an error (perhaps typographical) wherein the author claims 
                that the word ORGHS appears in Rev 9:15. The verse is: "ELUQHSAN OI TESSARES AGGELOI OI HTOIMASMENOI EIS THN WRAN KAI HMERAN KAI MHNA KAI ENIAUTON INA APOKTEINWSIN TO TRITON TWN ANQRWPWN." Perhaps the author meant Rev 19:15. Based on these  two observations there are only 14 references to this subject and 12 contain a theomatic hit. Results from the Nestle-Aland 26th edition are as follows. 
 The phrase sum (S) is given, the cluster radius (R), the number of words (W), and the Phrase. The WLA
                 of the shortest hit from each reference, not counting any phrase as a hit more than once, is 2.5. Certainly, the reason for deviating from his standard criterion, the final p-value derived from 
                the hits and clustering, appears to be that the standard metrics are insignificant in this context: the joint probability of the hits and clustering is 0.02629 with an O statistic of 1.00. 
                This is primarily due to poor clustering (5:7:6). We would expect this type of joint p-value in every random gemmatria.  It should then come as no surprise that the author selects an unusual metric for this topic. 
                Further, it is not merely coincidental that two of the subject words happen to be a multiple of the factor chosen, giving this factor a distinct advantage. Consequently, there are no 
                other factors producing an equivalent result in the standard gemmatria. As it is most difficult to pinpoint the actual significance of this metric it is necessary to 
                construct a few random mappings to fully respond to this scenario. Therefore we do. We randomize the letter number mapping 10,000 times, test every factor at least 95% the 
                size of 190 (any factor larger than 180), and note all instances with at least 12 distinct reference hits and a WLAR of 2.5 or less. There are 118 gemmatria among the 10,000 that 
                meet this criteria, or an average of 1 in 85 trials. The first 25 gemmatria from the NA are given below as typical.   
 The top row gives benchmark results from the author's proposed Theomatic factor 190. 
                The number of  the successful random gemmatria is in the left column, followed by the trial that the gemmatria was constructed, the gemmatria arrangement itself, the factor (F), the 
                number of distinct reference hits (R) and the WLA for the shortest hit from each reference (WLAR). The 
                actual hits are provided for reference, as well as the phrase pool. 
                This result is certainly nothing that would arouse our interest. Approximately 1 gemmatria in one hundred satisfies the author's challenge. This is only a fraction of the number of 
                gemmatria one would expect to have to explore to get results comparable to the maximum order statistic in a random environment. It appears that the entire topic can safely be 
                ignored from a statistical point of view. No Theomatic significance is apparent. 
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