- What tutorial are you running? https://pyro.ai/examples/svi_part_i.html
- What version of Pyro are you using? 1.4.0

Going through the SVI tutorial, I wanted to turn the guide into a posterior sampler, so added sampling statements there. I realized that by adding a random pyro.sample statement in the guide can completely break inference (it doesn’t converge anymore).

```
def guide(data):
alpha_q = pyro.param("alpha_q", torch.tensor(15.0),
constraint=constraints.positive)
beta_q = pyro.param("beta_q", torch.tensor(15.0),
constraint=constraints.positive)
pyro.sample("latent_fairness", dist.Beta(alpha_q, beta_q))
# Adding this statement breaks inference
pyro.sample('foo', dist.Bernoulli(0.5))
```

Why is this?