turning angles); and (iii) when cues are obtained (a yellow cell has been detected), the searcher has a bias towards unvisited cells surrounding a yellow one. The choice of a uniform distribution for the turning angles is a consequence of using a purely exponential distribution for the length of the displacements (see Fig. \[fig:blindexp\]a). The high persistence shown by the experimental turning angle distribution, which can be approximated by a uniform distribution except for that peak at $\theta = 0$ (see Fig. \[fig:blindexp\]b,c), comes from the high presence of jumps of length one. Disregarding the high frequency of unity-length movements also implies disregarding the higher abundance of turning angles close to zero and therefore using a uniform distribution for $\theta$. The third assumption aims to capture the influence of the information provided to the searcher when a yellow cell is found, as well as the strong tendency to go back to yellow cells exhibited by the distribution of turning angles in Fig. \[fig:blindexp\]d. The results of the simulations (green curve in Fig. \[fig:blindjumps\]) show an excellent agreement with the experimental data (black curve) both in the mean average number of jumps and in its standard deviation. Simulations reproduce at least 