Science, at its core, seeks to uncover fundamental truths about the physical world through controlled experiments.
This involves isolating variables, manipulating conditions, and observing consistent, reproducible results.
For example, when substance A is added to substance B under controlled conditions, substance C is reliably formed, regardless of who conducts the experiment or where it takes place.

Medicine, however, does not conform to this model of predictability. While it relies on scientific principles, medicine also grapples with the complexities of human biology and behavior, which are far less predictable.
The human response to treatment can vary widely due to factors such as psychological expectations, individual biochemistry, and cultural influences.
This is exemplified by the placebo effect, where a patient’s belief in the effectiveness of a treatment can produce real physiological changes, sometimes rivaling the effects of the drug itself (PubMed 2023).

Moreover, the effectiveness of treatments can vary across different populations and conditions.
Placebos often produce significant effects in subjective conditions, such as depression or pain, but are less effective in conditions with objective, measurable outcomes, like diabetes (Enck, Bingel, Schedlowski, and Rief 2013).
This variability highlights the inherent complexity in human physiology and psychology, making medicine a field where statistical trends often take precedence over deterministic laws.

Another critical factor that influences the effectiveness of treatments and the role of placebo is the complexity of the body system being treated.
As the complexity of a system increases, so does the difficulty in applying basic science principles, and the likelihood that the placebo effect will play a significant role.

For example, bacteria are relatively simple organisms, and antibiotics are highly effective because they target specific, well-understood mechanisms within these simple systems.
The science behind antibiotic effectiveness is robust, with little room for placebo effects to interfere (Ramasamy 2008).

In contrast, the brain is an exceedingly complex organ, with intricate networks of neurons, chemicals, and receptors that are not yet fully understood.
This complexity makes the science behind treatments like antidepressants much more challenging to validate.
The placebo effect is more pronounced in such cases because the brain’s response to treatments is deeply intertwined with the patient’s mental state, expectations, and perceptions (Colloca and Benedetti 2007).

Bones fall somewhere between bacteria and brains in terms of complexity.
The three-dimensional structure of bones is less complicated than the biochemical processes within them, but still more complex than bacterial systems.
As a result, treatments that involve physical structures, like hip replacement surgeries, tend to have less interference from the placebo effect compared to treatments aimed at altering bone density or strengthening bone structure (Ramasamy 2008).

For instance, while a sham hip replacement surgery is unlikely to lead to significant improvement, a placebo treatment for bone density might. This is because patients might believe the placebo will strengthen their bones, leading them to engage in behaviors like walking more frequently or with more confidence, which can indirectly contribute to bone health.
Additionally, subtle changes in mental states, influenced by the belief in the treatment, could alter biochemical pathways that affect bone density (Colloca and Benedetti 2007).

Another layer of complexity in medicine arises from the influence of profit motives on scientific research and healthcare practices.
Science, particularly in the context of medicine, is often a “pay-to-play” endeavor.
Conducting large-scale clinical trials and navigating the regulatory landscape is expensive, and this cost is typically borne by corporations with vested interests in profitable treatments.

Regulatory bodies like the NIH and CDC, while tasked with safeguarding public health, often operate within frameworks that favor treatments funded by large pharmaceutical companies.
Patented, profitable drugs receive significantly more research attention than unpatentable, less profitable interventions such as diet, exercise, vitamins, herbs, or other natural therapies (Emanuel and Miller 2001).
This creates a system where “Science Based Medicine” often aligns more closely with “Profit Based Medicine.”

This does not imply that the science behind conventional treatments is entirely corrupt or that these treatments lack efficacy.
However, it does suggest that the standard of care may not represent the full spectrum of treatment options that an unbiased, truly science-based medical system would endorse.
The focus on profitable interventions means that non-patentable treatments are often under-researched, and their potential benefits underexplored (Fisher et al. 2011).