NUTRITIONAL LOG

The Truth About Tequila

A Deep-Research Journal

Dr. Aria Vance
Dr. Aria Vance Lead Nutrition Data Scientist
Last Reviewed: Jun 3, 2026 • Data Sources: USDA FoodData Central, NutriSnap Volumetric Models

Structured Nutritional Data & Citations

Nutritional Profile: Tequila (80 Proof / 40% ABV)

Overview: Tequila, a distilled spirit, primarily consists of ethanol and water. Its caloric content is derived almost exclusively from ethanol, offering minimal to no macronutrients or micronutrients.


1. Macronutrients & Energy (Per 100g and Per Standard Serving)

Nutrient Per 100g (Approx. 108 ml) Per Standard Serving (1.5 fl oz / 41.25g)
Energy 241 kcal (1008 kJ) 99 kcal (414 kJ)
Protein 0 g 0 g
Total Fat 0 g 0 g
Carbohydrates 0 g 0 g
Alcohol 34.4 g 14.2 g
Water 65.6 g 27.05 g

2. Key Micronutrients


3. Functional Impact


4. Physical Properties


5. Citations & References

Field Notes: Dr. Aria Vance

Subject: Tequila
Focus: Volumetric expansion/contraction, historical context, tracking challenges.

Why Tequila Is Difficult to Track

Journal Entry: Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap

August 14th, 2023. Another deep dive into the elusive world of recreational calories. Today's target: Tequila. A drink. Not just any drink. A spirit forged in the arid volcanic soils of Jalisco, Mexico, under the watchful gaze of the Tequila volcano. It’s the very soul of the blue agave plant, squeezed dry and distilled into liquid courage, into liquid celebration. This spirit, with roots stretching back to pre-Hispanic ferments, then modernized by Spanish distillation techniques, carries an almost mythical weight. Its history is a vibrant tapestry, woven with the hands of jimadores harvesting the gargantuan piñas, the slow roasting in ovens, the crushing, fermenting, and double distillation. It's a symbol of culture, festivity, and sometimes, regret. But for a nutrition data scientist? It’s a nutrition tracker's nightmare.

Manual tracking for something like tequila is fundamentally flawed. It's a house of cards, built on assumptions and wishful thinking. People, bless their optimistic hearts, attempt to log it. They open their apps, they type "tequila." The app suggests "1 shot, 80 proof." Fine. But what is a shot? Is it the precise 1.5 fluid ounces often cited in clinical literature? Is it the generous pour of a seasoned bartender, who treats standard measurements like a suggestion rather than a rule? Is it the heavy-handed splash at a house party, where the "shot glass" is actually a jam jar? Volume variability is astronomical. It's like trying to count individual grains of sand on a beach with a spoon; you'll get an answer, but not the answer.

Then there are the mixers. Who drinks pure tequila neat, beyond a dedicated few? Margaritas. Palomas. Tequila sunrises. Each adds a dizzying array of sugars, fruit juices, and syrups, transforming a relatively simple caloric entity into a complex, high-calorie cocktail. Your 100-calorie shot just ballooned into a 300 or 400-calorie concoction, often without anyone batting an eye. The initial pure spirit data becomes almost irrelevant, buried under layers of added sweetness. It's a caloric chameleon, constantly changing its form.

We're trying to achieve precision in a world that thrives on approximation. Barcodes? Useless for a mixed drink. Scales? You can weigh the liquid, sure, but who does that in a social setting? Or even at home, after a long day? This isn't baking a cake; it's unwinding. The cognitive load required for accurate manual tracking simply doesn't align with the behavioral context of consuming spirits. It breeds inaccuracy, frustration, and ultimately, abandonment of tracking altogether.

This is precisely why NutriSnap is a game-changer. Our AI doesn't rely on self-reported estimates or mythical "standard" pours. It sees it. Forensic visual analysis. You take a photo. The AI identifies the glass type, estimates the liquid volume, recognizes common cocktail components by color, texture, and garnish. It's not magic; it's advanced computer vision applied to a pervasive problem. Finally, a solution that meets the consumer where they are, rather than demanding they become a human nutritionist with a measuring cup and a logbook in hand, especially when their inhibitions are, shall we say, chemically lowered.

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