In looking at some recent updates in Distributions I saw code like this `dot(w, inv.(x))`

and thought that better could be done to avoid allocating `inv.(x)`

however what I came up with was always slower and I’m not sure why.

```
julia> x = randn(100_000) .+ 100
julia> y = randn(100_000) .+ 100
julia> f(x, y) = dot(x, inv.(y))
julia> g(x, y) = sum(@inbounds x[i]/y[i] for i in eachindex(x))
julia> @btime f($x, $y)
74.495 μs (2 allocations: 781.33 KiB)
100011.86751975697
julia> @btime g($x, $y)
111.424 μs (2 allocations: 64 bytes)
100011.86751975746
```

Any idea why the second one is slower? purely in terms of flops it should be about the same shouldn’t it?