diff --git a/scope/__init__.py b/scope/__init__.py
index <HASH>..<HASH> 100644
--- a/scope/__init__.py
+++ b/scope/__init__.py
@@ -3,7 +3,7 @@
 """ Spectral Comparison and Parameter Evaluation """
 
 __author__ = "Andy Casey <arc@ast.cam.ac.uk>"
-__version__ = "0.08"
+__version__ = "0.081"
 
 __all__ = ["config", "Model", "specutils", "Spectrum", "utils"]
 
diff --git a/scope/analysis.py b/scope/analysis.py
index <HASH>..<HASH> 100644
--- a/scope/analysis.py
+++ b/scope/analysis.py
@@ -444,7 +444,7 @@ def solve(observed_spectra, model, initial_guess=None):
         # Blobs contain all the sampled parameters and likelihoods        
         sampled = np.array(sampler.blobs).reshape((-1, len(model.dimensions) + 1))
 
-        sampled = sampled[-int(model.configuration["solver"]["walkers"] * model.configuration["solver"]["sample"]):]
+        sampled = sampled[-int(model.configuration["solver"]["walkers"] * model.configuration["solver"]["sample"] * 0.5):]
         sampled_theta, sampled_log_likelihood = sampled[:, :-1], sampled[:, -1]
 
         # Get the maximum estimate
assume first half of sampling post-burn in is junk