False facts and false views: coalescent analysis of truncated data
preprint
OA: closed
AI-generated summary
This paper uses coalescent analysis of a truncated dataset to examine historical demography, concluding that the presented data leads to a predetermined bottleneck interpretation.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
Abstract
Darwin’s dictum on false facts and false views points the way to opening the road to truth via cogent criticism of the published record. Here I discuss a case in which a truncated dataset (false facts) is used for coalescent analysis of historical demography that reaches a foregone conclusion of a bottleneck of numbers (false views).
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00