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This recent paper by Marotzke and Forster [1]   has received media attention because it claims to have   shown that the recent pause in surface temperature rise   was the result of natural variability, and that climate models   are not systematically overestimating the global warming.   Nicholas Lewis [2] has already commented about the   serious statistical errors in the paper that make the conclusion   unsustainable.We note here that their supporting evidence   is actually alteration of pre-selected data to sustain   the global warming narrative. The “observed trends” of   Marotzke and Forster are not based on the truly measured   temperatures in every world gridded cell of the land and   sea since the 1860s, but only on a reconstruction based on   selected, scattered data that are continuously recalculated   to resemble the climate model outputs.

nonlinear engineering

Unreliability of global temperature trends: the     circular logic of comparing models with models or     with models inspired reconstructions to     circumvent lack of validation versus actual     measurements