The article explores tests for finding connections between variables that change together in a non-linear way, even when the errors have varying levels of uncertainty. The researchers combined existing methods to create a new test that can handle these complexities. Through simulations, they found that their approach works well in practice and outperforms other methods. When applying this test to environmental data, they discovered that the relationship they were investigating did not show strong evidence against their hypothesis in most cases.