Sure, but the deal is that at very small numbers, a massive change in % difference doesn’t translate in to a massive difference. It’s _entirely_ dependent on context. The raw stats are meaningless.
The author is muddying the water for effect, that's why his explanation is confusing. To understand what he means, you should ignore the results expressed as percentages and instead focus on 1:19 vs 1:99.
Now, imagine a grid, where the unit on the x-axis is "No", vs "Yes" on the y-axis.
Place both studies in terms of their respective No/Yes relationship.