A highly reliant concept in todays society is cause and effect. We use this but is this really reliable? Can we receive proof from these test? Some thing so, but some do not.

To illustrate this reasoning I will use a modern example of cause and effect. There is a debate going on today about cause and effect; a small movement in the United States of America asserts that there the current vaccines and their administration causes and promotes the effect of Autism. They cite evidence that shows the number of vaccines that a child receives has risen in the past twenty years, they then look at the number of people diagnosed with autism, and see that it has risen over the past twenty years as by over 1000%. They thus assert that because we have increased the number or vaccines a child receives and also the number of people diagnosed with autism has increased that the increase of vaccines causes an increase of autism. Thus:
Cause = Increase of children’s’ vaccines
Effect = Increase of Autim
The problem with this theory is that although their statistics are accurate, there could be an infinite number of other reasons that number of diagnoses of autism has risen. I will give 3 examples:
- The reason for the rise of diagnosed autism may be that the medical practices have increased in their ability to accurately identify and diagnose autism, particularly in less severe cases, which previously would not have been diagnosed as autism. This would mean that autism hasn’t necessarily risen, but just the recognition and diagnoses of such has.
- Another reason that autism could have risen so drastically in the last twenty years is the use of electronics. The use of electronics has risen exponentially in the past twenty years. If we look at the correlation between the use of electronics and diagnosed autism we can use their logic to ‘prove’ that the increase of electronics has caused a rise of diagnosed autism.
- A third possible reason for the rise of diagnosed autism could be that the people are much more dependent on the health care and health professional then they were twenty years ago. Thus more children are diagnosed with autism because more are submitted to be tested for autism.
These are a just a few possible examples of alternate possibilities of this theory, but they help illustrate that there is not one undeniable reason that something happens; there can always be alternate possibilities for a theory regardless of how improbably or unlikely they may seem. Improbably and unlikely things happen every day, the only way that you could prove that something caused something else is to identify all possible causes and disprove every single one except for the excepted cause. Even if you were to somehow do this, how would you know that there are no other possible explanations? You can’t, thus it has to be open for possible future findings or explanations and can never be a proven cause.