# Identical samples during mcmc run in Turing.jl with NUTS algorithm

**URL:** <https://discourse.julialang.org/t/identical-samples-during-mcmc-run-in-turing-jl-with-nuts-algorithm/125361>\
**Category:** Modelling & Simulations\
**Tags:** question, turing, mcmcchain\
**Created:** [January 29, 2025, 8:37pm UTC](https://discourse.julialang.org/t/identical-samples-during-mcmc-run-in-turing-jl-with-nuts-algorithm/125361 "2025-01-29T20:37:01Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Sahil\_Khan](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sahil_khan/32/47573_2.png) [@Sahil\_Khan](https://discourse.julialang.org/u/Sahil_Khan)\
**Post date:** [January 29, 2025, 8:37pm UTC](https://discourse.julialang.org/t/identical-samples-during-mcmc-run-in-turing-jl-with-nuts-algorithm/125361/1 "2025-01-29T20:37:01Z")

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Hello Everyone, Im running some differential Equation based model for inference using `Turing.jl`

Im running 3 chains in parallel. Following result is with `2000 warmup` and `2000 samples`. Though Im not sure whats going on here. Chains not converging I understand but here its just going straight (so same samples during run).

So, main question is does someone has any idea in what situation this can be the case?

**I am sure issue is in my model setup but I need a starting point to solve this issue**

Thank you

 ![image](https://global.discourse-cdn.com/julialang/original/3X/3/8/38aef09bf0ed00641bbfe9d1be7719b025d2b88c.png)