What is ABA?
ABA or Applied Behavior Analysis claims to be a therapy for autistic children providing increased communication, attention, focus, social, memory, and academic abilities (Autism Speaks). However, academic and sociological looks at ABA reveal it is a form of, and rooted deeply in, conversion therapy (Wilkenfeld et al. 2020) (Pyne 2020).
Studies show recipients of ABA are 86% more likely to meet the criteria for PTSD, with estimates showing 46% of ABA survivors meet the diagnostic criteria for PTSD (Kupferstein 2018). Further, a handful of states (including blue states such as CA, PA, ME, CO) have no license requirements for ABA. ABA is primarily comprised of RBTs (technicians), a role which requires only 40 hours of training. Clinics such as AutismTherapies are 88% comprised of RBTs.
ABA has its roots in the 60âs, with the research of Ivar Lovaas. Lovaasâ main accomplishments were the creation of ABA, though he did also expriment with conversion therapy on trans and gender-diverse children (Rekers, Lovaas 1974). In 2020, the journal in which Lovaas published issued an âexpression of concernâ on Lovaasâ work in conversion therapy for gender nonconforming children, however, did no such thing for ABA studies. Further, recent research has demonstrated a pervasive issue of not disclosing conflicts of interests within ABA research, primarily not disclosing that pro-ABA research is primarily conducted by ABA practitioners (Bottema-Beutel, Crowley 2021).
ABA was built around using operant conditioning, later by Lovaas described as discrete trial training, which involved autistic children being commanded to do things they are typically uncomfortable with. During this time, physical punishments were used to reduce self-harm in autistic children, such as isolation, electric shocks, or slapping (Lovaas 1973). ABA was described by Lovaas as:
âThroughout, there was an emphasis on making the child look as normal as possible, reward-ing him for normal behavior and punishing his psychotic behavior, teaching him to please his parents and us, to be grateful for what we would do for him, to be afraid of us when we were angry, and pleased when we were happy. Adults were in control.â (Lovaas 1973).
ABA currently can consist of (McGill et al. 2020):
- Training children through the use of physical interventions such as physical restraints, force-feeding, or restricting bathroom usage; dehumanization and animalistic treatment; and accusations of lying or laziness in response to autistic behaviors.
- Eroding the self by changing the way survivors interact with the world, forcing them to mask, inflicting significant trauma, and learning self-hatred.
- Restricting agency through controlling behaviors, focusing on teaching compliance to the point of making children more vulnerable to future abuse, and forced masking of survivorsâ identities.
Although ABA is supported by many institutions such as the CDC and National Institutes of Health and APA, ABA should never be used on autistic children. The effects of ABA are in line with other conversion therapies, in that they do not “cure autism” or “make living with autism easier,” and instead do the opposite by raising the likelihood of autistic children developing PTSD or other mental health conditions.
This article is an edited excerpt from the Trans Research Masterdoc found on masterdoc.info
Why The Trans Programmer?
In March 2022, as a high-school senior early in gender transition, I released the article Why The Trans Programmer (Kychenthal 2022) discussing the perceived notion that transgender women disproportionately enter technological fields, primarily computer science.
I set out to speculate as to why by using the r/transprogrammer subreddit to poll 138 individual experiences with technological fields, educational experiences, and more. I discovered a disproportionate amount of transfeminine individuals in computing fields, and speculated this could be from a myriad of factors mostly surrounding socialization and perceptions of computing as a field. I further explored this, and some of the historical context surrounding women in computing, in a 45 minute video-essay on my YouTube channel.
“Within the trans communities polled, there is a large discrepancy between those Assigned Male at Birth (AMAB) and Assigned Female at Birth (AFAB). Although Intersex was a polling option, no respondents identified as intersex … There was an overwhelming majority of respondents who identified as AMAB at 89% or 113 of the total responses. Within the self-identification section, 80.4% identified as trans-femine or a trans woman, 6.5% identified as trans masculine or a trans man, while 34.8% identified as non-binary or gender-queer. Furthermore, 71.6% of trans individuals polled believe there is likely a disproportionate amount of trans people in computer science, with 16.4% believing the contrary.”
Comments on the video, above all else, recommended one specific aspect of identity I had yet to look into: neurodivergence.
âI think there are more transwomen programmers today because trans individuals are statistically more likely to be on the autism spectrum. A lot of programmers are on the spectrum or are otherwise neurodivergent (ie ADHD).â
â⌠I think it could be related to the fact that we tend to socialize online, so we just end up liking computers ig. It could also be the fact that a lot of trans people are autistic and the stereotype that autistic people are into math and logical thinking.â
âMy theory is that groups that donât care as much about fitting in have higher rates of transgender. For example autistic folks typically care less about societyâs rules and more willing to embrace their gender. Where as the jocks would be ridiculed so they deny it or stay in the closet. But as society becomes more accepting I think this will help those other groups have higher rates of transgender individuals. But I still agree your points and programming will probably always have a higher rate of us :)”
Purely by anecdotal and circumstantial evidence, I do believe there are more trans-women programmers today because trans individuals are more likely by upwards of 6x to be on the autism spectrum (Warrier et al. 2020) in conjunction with autistic people are more likely by upwards of 3x to enter computing fields (Wei et al. 2012).