The post discusses how global population datasets, particularly those related to rural areas, are often inaccurate and potentially misleading. This underrepresentation is exemplified in countries with traditionally robust record-keeping systems, like Germany and Sweden. There is a significant reliance on satellite-based data collection methods, which are criticized for being too coarse and not reflective of actual rural demographics. The issue extends to political implications, especially regarding census data and congressional apportionment in various contexts, raising concerns about representation biases. Comments highlight that the root causes for inaccuracies may lie in inadequate data collection methods rather than a lack of effort or severe conditions in rural areas.