What the meme actually plots.
The chart loads in the configuration the meme circulates — the bold
red “Vinós 2022 — meme version” temperature curve and the pale-blue
Monnin Dome C CO₂ line. Everything else is hidden until you click it on
in the legend.
Where the Vinós curve comes from. Javier Vinós is a
retired biochemist; the curve labelled “Vinós 2022” appears in his
self-published
Climate of the Past, Present and Future (2022), not
in any peer-reviewed paper. Its construction has two steps:
- Differencing (defensible) — take the 73 individual proxy
time series from Marcott et al. 2013, convert each one to an anomaly
relative to its own Holocene mean, then average across all proxies
present in each 20-yr bin. The result is a wigglier stack than
Marcott’s published curve because none of his area weighting or
Monte-Carlo dating perturbations are applied. The wiggles are real
proxy variability that Marcott smooths down by design.
- ×2 rescaling (the manipulation) — the natural conversion
from Vinós’s Z-score back to °C is to multiply by the stack’s
standard deviation. Vinós instead multiplies by roughly twice that,
doubling the apparent amplitude so the Holocene Climate Optimum
reads ≈1.2 °C warmer than the Little Ice Age, his stated target.
The proxy data itself supports only ≈0.6 °C. He admits the
rescaling on Judith Curry’s blog as matching
“biological, glaciological, and marine sedimentary evidence”
— evidence the 73 proxies already are.
Turn on “Vinós method — honest scale (×1)” in the legend to see
step 1 alone: same wiggles, half the amplitude. The gap between the two
red curves
is the manipulation.
The honest references. Marcott’s own published
Standard5×5 and RegEM global stacks (orange and amber) are the
area-weighted, dating-perturbed versions of the same proxy data. RegEM in
particular explicitly corrects for proxy drop-off at the modern end —
the exact problem Vinós claims to be fixing. Both show a HCO–LIA delta
consistent with the honest ×1 curve, not the meme’s ×2.
The missing modern record.
Monnin 2004 ends in 1777 CE and the Marcott proxy stack effectively
ends around 1800 CE, so a chart built only from those two records crops
out the entire industrial CO₂ rise
and the corresponding
warming. Toggle “HadCRUT5 — 100-yr smoothed” and
“Mauna Loa” on, then zoom to
200 yr: even after
smoothing HadCRUT down to Marcott’s effective resolution, the
post-1850 warming alone exceeds the entire Holocene swing in any of the
proxy reconstructions.
Two y-axes. Temperature (°C anomaly vs 1800–1900) on
the left; CO₂ (ppm) on the right. Marcott’s stacks are rebaselined from
their native 1961–1990 reference by subtracting their mean over the
50–150 yr BP window (≈ 1800–1900 CE) so every temperature curve
shares HadCRUT5’s baseline. Full methodology in
VINOS_DECONSTRUCTION.md.
Marcott S.A. et al. (2013) “A Reconstruction of Regional and Global Temperature for the Past 11,300 Years”, Science 339:1198 (Database S1: 73 proxy sheets + Standard5×5 / RegEM stacks) •
Vinós J. (2022) Climate of the Past, Present and Future (self-published) •
Tamino (2013) “Smearing Climate Data” — the differencing-method blog post Vinós cites •
Wood Romances (Feb 2025) “Data Tampering of Marcott by Javier Vinós” — independent analysis identifying the ×2 rescaling •
Monnin E. et al. (2004) EPICA Dome C Holocene CO₂, EPSL 224 (PANGAEA §472488) •
Bereiter B. et al. (2015) revised Antarctic ice-core CO₂ composite, GRL 42 •
MacFarling Meure C. et al. (2006) Law Dome CO₂, GRL 33 •
Morice C.P. et al. (2021) HadCRUT5, Met Office / UEA CRU •
NOAA GML Mauna Loa •
Generated by generate_chart_meme_sources.py