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In a recent publication, Ansari <italic>et al.</italic> (2021) claimed (see, in particular, the Discussion and Recommendation Section in their article) that the advanced differential SAR interferometry (InSAR) algorithms for surface deformation retrieval, based on the small baseline approach, are affected by systematic biases in the generated InSAR products. Therefore, to avoid such biases, they recommended a strategy primarily focused on excluding &#x201C;the short temporal baseline interferograms and using long baselines to decrease the overall phase errors.&#x201D; In particular, among various techniques, Ansari <italic>et al.</italic> (2021) identified the solution presented by Manunta <italic>et al.</italic> (2019) as a small baseline advanced InSAR processing approach where the presence of the above-mentioned biases (referred to as a fading signal) compromises the accuracy of the retrieved InSAR deformation products. We show that the claim of Ansari <italic>et al.</italic> (2021) is not correct (at least) for what concerns the mentioned approach discussed by Manunta <italic>et al.</italic> (2019). In particular, by processing the Sentinel-1 dataset relevant to the same area in Sicily (southern Italy) investigated by Ansari <italic>et al.</italic> (2021), we demonstrate that the generated InSAR products do not show any significant bias.

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