BLA4190

2. Science requires data.
Example: **Every experiment conducted, ever!** Even though there are ample theories made to which people base upon little to no knowledge which are often times believed to be true, **//__Science__//** is factual and requires __//**D****ata**//__ to make science reliable. It is said that "there are three main roles served by the data scientist: data architecture, machine learning, and analytics". Although it is argued, I personally believe that these roles play an enormous hand in conducting, researching, and presenting factual science. [|The opposing end.]

7. More of something good isn't always better.
Example: **Prescribed pain killers**. Although pain killers are prescribed for medical reasons, such as getting teeth pulled or breaking a bone, there are many side effects for taking too many pain killers or taking pain killers for long periods of time.

[|Pain Medication Side Effects]

Example: **Drinking a glass of wine a day.** It has been said that drinking a glass of wine per day, even while women are pregnant, can benefit ones health. However, this is only seen in moderate drinkers; Drinking a glass of wine a day is proven to prevent health issues such as diabetes, but if taken out of context may cause health issues such as breast cancer.

[|Drinking Pros And Cons]

10. Lack of evidence doesn't mean it's false.
Example: **Religion.** "Absence of evidence is not evidence of absence." -Carl Sagan. This meaning that just because there is no proof does not mean it does not exist. A perfect example of this is religion, leading to the highly debated "Religion verses Science" theories.

[|Religion VS. Science]