Autism Spectrum Disorder (ASD) is a developmental disability characterized by persistent impairments in social interaction and the presence of restricted, repetitive patterns of behaviors, interests, or activities that can cause an array of difficulties in social interaction, communication, and participation in daily activities. The autistic children often don’t speak or have delayed speech, or lose previous ability to say words or sentences. According to USA Centers of Disease Control and Prevention (CDC) a prevalence of Autsim in USA is 1 in 36 children (as 2020). The rate of Autism’s prevalence has grown significanlty over the years from 1 in 150 in 2000 to 1 in 36 in 2020. Currently Autism spectrum disorder has no single known cause. In this work an author analyses causes of Autism using a novel method presented in article “Method of Combining Multiple Researches to Determine Non-Infectious Disease Causes, Analysis of Depression and Celiac Disease Causes” [1]. The method is using a special algorithm based in math which allows to find disease causes for a specific non-infectious disease using results of multiple researches regarding risk factors of the disease. This method allows to combine dozens of such researches together with dozens of researches on biochemistry and physiology to extract implicit information on the causes of non-infectious disease out this entire research. The use of method requires to find number of causes for a specific non-infectious disease using a special formula and data on the incidence rate of disease in specific population. These disease causes are two or more physiological changes beyond approximately 1-sigma interval which if they are co-existing long enough must trigger the non-infectious disease (triggering is not optional). After that the method requires to find disease causation factors out of multiple risk factors found for a disease. Only some of risk factors are real disease causing factors. This is achieved using a set of special disease causation criteria discussed in the article above and provided here for a reference as well. The method often allows to find few dozen of disease causation factors and more for a non-infectious disease out of existing medical research. These disease causation factors all point to the same set of limited number of physiological parameters changes beyond 1-sigma. The number of these physiological changes usually vary depending on the non-infectious disease from a minimum of 2 to a maximum of 6 or very rare more. In this case the few dozens of disease causation factors make changes (we can say “point”) to the same set of 3 physiological parameters (for example).The method then allows to find these physiological parameter changes (which are real cause of the non-infectious disease) using a properties based in math. After this the method allows to determine which physiological parameter of this group is impacted by each of the dozens of disease causation factors previously found. Then method allows to group these factors according to the physiological parameter they impact. The disease causation factors taken out of each group of these factors and combined together will cause a change beyond 1-sigma to all required for disease triggering physiological parameters. These combinations of disease causation factors applied long enough will cause a non-infectious disease. The occurrence of the disease causation factors is random but once they act together the non-infectious disease triggering is a must unless the factors are removed fast enough. Final step of the method is validation of its results using other research or the already discussed disease causation criteria in order to eliminate any errors in steps of the method, which we could potentially make. Once the simultaneously taking place physiological changes causing a non-infectious disease has been found the method allows to build a hypothesis of the disease pathology by using them and “connecting the dots”. The example of this process shown in the work as well. The hypothesis of Autism pathology is proposed as one example of this. The author then continues an introduction to the method and applying over 34 existing selected studies the author analyses Autism and as a result the work gives the causes of Autism as a set of physiological parameters changes beyond 1-sigma interval (slightly less, actually) and also as a set of disease causing external factors which combinations in an individual must cause Autism. Using the method an author show that Autism has 2 simultaneously acting causes for boys and 3 simultaneously acting causes for girls at present time. For Autism, this explains why girls’ rate of Autism much less than in boys because the more physiological changes are required to trigger the non-infectious disease the less its incidence rate 1. It used to be more physiological changes required to cause Autism in the past, in 1980s and earlier. But some external factors has removed multiple defensive mechanisms by moving some physiological parameters beyond 1-sigma to a new “norm” and left us with only 2 for boys and 3 for girls as it is shown in this work. This removal of defenses has caused a significant raise of Autism in recent years. The article introduces to the basics of the method, provides required formulas for calculations and then move to a detailed analysis of Autism causes. As the method is novel, the appendix has an analogy to explain the idea of the method at “high level”. The author’s introduction to the method will allow other medical researchers to use their own and existing research to determine the causes of non-infectious diseases as per presented model, using a simple algorithm.