I was able to find that when I stopped coffee, I had the least “time to sleep” recordings. The reading and the watching television did not have much changes between them. It was only when I stopped drinking coffee that my difficulty to fall asleep was seen to be better. Now I connect back these concepts to what I learned in the research. Firstly, the need to conduct an experiment comes from the fact that what people perceive might not be reality.
Often there can be what is called an objectivity illusion, so people might actually be inferring wrong reality. In such cases, it is necessary to test it out. Now I have always been drinking coffee from when I was young and so I assumed that it would not really affect my sleep. There are days when I have stayed awake for hours and when I would have an additional cup of coffee while I waited to sleep watching TV. Even parents and friends have blamed watching TV as a reason for the sleepless state. Even though there are many research assumptions that coffee drinking could make people active, I had always assumed that since the levels I drink were low and since I was used to it already from childhood, it would not affect me. This was a wrong perception and reality and for the first time, I was able to identify that it was coffee making me stay awake. Here there is a fundamental attribution error identified as well. The situation in me, my own assumptions, was causing my problem more than any other.
If I were to run the experiment again, then I would make it more rigorous by ensuring that I have more than one way to check the difficulty in falling asleep and the quality of sleep. One practical constrain that remained in the experiment was how I was able to note down the time to sleep. The time to sleep was noted down by means of stopping a timer just before I was about to doze off completely. Now there is a chance that the data collected could not be that accurate. I can have someone sit with me when I sleep and note the time I fall asleep. This could be a more accurate and rigorous way of collecting the data.