To start off, I have chosen my sister’s recent narrative in which she had to produce for her English class based on a given topic. I ended comparing it off with two essays I’ve written from my first year in college. Overall, I typed out all the needed data in my chosen terminal program; Git Bash, and plugged in the right command line to perform the task.
As a result, I first started off calculating my sister’s narrative, “Memory of a Monster” and the test calculated it to be 84 in the Flesch Index. According to the scale, 84 is an easy readability level where at least an eleven-year-old student could manage to read. A contrast to the short narrative would be my two college essays, “Bernd And Hilla Becher” and “Art Technology Midterm Paper” which fallen into the same scale of 50-53. While going in depth with the numbers, the essays are fairly difficult and a high school senior is still capable to read them. Overall, these two papers were a few increments close to be difficult to read.
Lastly, for fun, I picked two well-known literatures and compared them of what their Flesch-Kincaid reading level would be. For example, “The Great Gastby” had at least a 68 Flesch index while the first book of the “Harry Potter” series was scaled to a 75. Both novels either scaled between being having a standard or fairly easy readability level.
Furthermore, whenit came to literature and translating this particular experience on how words can benefit from searching specific information just by developing a program that does it for you. The effort on experimenting this concept was reflected by James Pennebaker during his TED talk on “The Secrets of Pronouns.” By going back to the idea of having this formula, which calculates your reading level just from the library of vocabulary a reader or writer, might know.