diff --git a/tibble.Rmd b/tibble.Rmd
index 448ab67..1a7bea3 100644
--- a/tibble.Rmd
+++ b/tibble.Rmd
@@ -2,7 +2,7 @@
 
 ## Introduction
 
-Throughout this book we work with "tibbles" instead of R's traditional data frame. Tibbles _are_ data frames, but they tweak some older behaviours to make life a littler easier. R is an old language, and some things that were useful 10 or 20 years ago now get in your way. It's difficult to change base R without breaking existing code, so most innovation occurs in packages. Here we will describe the __tibble__ package, which provides opinionated data frames that make working in the tidyverse a little easier. 
+Throughout this book we work with "tibbles" instead of R's traditional data.frame. Tibbles _are_ data frames, but they tweak some older behaviours to make life a littler easier. R is an old language, and some things that were useful 10 or 20 years ago now get in your way. It's difficult to change base R without breaking existing code, so most innovation occurs in packages. Here we will describe the __tibble__ package, which provides opinionated data frames that make working in the tidyverse a little easier. 
 
 If this chapter leaves you wanting to learn more about tibbles, you might enjoy `vignette("tibble")`.
 
@@ -16,7 +16,7 @@ library(tibble)
 
 ## Creating tibbles {#tibbles}
 
-Almost all of the functions that you'll use in this book produce tibbles as using tibbles is one of the common features of packages in the tidyverse. Most other R packages use regular data frames, so you might want to coerce a data frame to a tibble. You can do that with `as_tibble()`:
+Almost all of the functions that you'll use in this book produce tibbles as tibbles are one of the unifying features of the tidyverse. Most other R packages use regular data frames, so you might want to coerce a data frame to a tibble. You can do that with `as_tibble()`:
 
 ```{r}
 as_tibble(iris)