White · Aconcagua Valley · Chile
Paul Boutinot The Myth of Motu Nui Sauvignon Blanc
Scored from 130 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: White · Chile (563 wines).
Find this wine: view on Vivino · compare prices on Wine-Searcher
What reviewers say
“Tangy and zesty, this Chilean Sauv Blanc does an uncanny imitation of the NZ profile. Gooseberry and grapefruit on the nose, which are then joined by passion fruit on the palate. The finish is crisp and herbaceous, with prominent bell pepper notes and touches of lime. 12.5% abv. Julia was a fan of this one. We enjoyed it with chicken flautas. 9.18.22”
From a top-rated Vivino review for this bottle.
Summary
From Aconcagua Valley in Chile, Paul Boutinot The Myth of Motu Nui Sauvignon Blanc is a white.
562 other whites from Chile form the cohort it is ranked inside. The calibrated figure is built from 130 reviewers whose rating history varies enough to place their own average. A broader pool of 134 reviewers with two or more ratings feeds the raw-average track instead.
How the score was built
We compare the reviewers of this bottle against every other wine those same people reviewed. Each review is scored relative to the reviewer's own baseline — four stars from someone who hands out fives means something very different from four stars from someone who rarely goes above three. Every reviewer then counts the same, so the result is a calibrated consensus rather than a star average.
- Global percentile
- Where Paul Boutinot The Myth of Motu Nui Sauvignon Blanc lands against every wine we rank.
- In-cohort percentile
- The same comparison narrowed to its cohort — wines of the same type from the same country. A Chilean red is judged against Chilean reds, not against Champagne. Ranked against White · Chile (563 wines).
- AI-adjusted percentile
- The same reviewer-normalized score, corrected for how much confidence the sample supports: thin samples are pulled toward the corpus average. Each wine keeps the share n / (n + 53) of its measured distance from the average, where n is its calibrated-reviewer count, and the result is ranked on the same scale as the global percentile.53 is the median sample size across everything we rank. Here n is 130.
