Julia crashes without reporting anything when I optimize a vector of models in parallel

Specific Domains Optimization (Mathematical)
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5

I revise my “crux” part code as

sub_j_vec = rand_j_vec[1+(ba-1)TH : min(J, (ba)TH)]
@info "before entering @threads" sub_j_vec
Threads.@threads for i = eachindex(sub_j_vec) # strictly This is NOT a loop
    j = sub_j_vec[i]
    @info "inside @threads" i j
end
error("#1 can you see this error??")

Then I observe this weird thing (why is there repetition of j = 3 ??)

julia> parallel_CG!(B, θ, β, μ, ν)
┌ Info: before entering @threads
│   sub_j_vec =
│    4-element Vector{Int64}:
│     1
│     4
│     2
└     3
┌ Info: inside @threads
│   i = 1
└   j = 2
┌ Info: inside @threads
│   i = 2
└   j = 3
┌ Info: inside @threads
│   i = 4
└   j = 3
┌ Info: inside @threads
│   i = 3
└   j = 3
ERROR: #1 can you see this error??