Food scienceJul 2, 20267 min readBy N. Menon

Your dal entry is probably wrong.

We pulled the 14 most-copied "dal makhani" entries from popular food databases and sent the real dish to a certified lab. The best entry was close. The worst was off by nearly half. This is how a guess becomes a "fact."

If you've ever logged dal makhani, you trusted a number someone typed years ago. Maybe they weighed a restaurant portion in another country. Maybe they copied it from another app. Maybe they guessed. The number then spread from database to database, losing its history at every hop, until it landed in your tracker looking exactly as confident as a lab result.

That's the quiet problem with food tracking: the numbers all look equally true. A gram of lab-tested paneer and a gram of somebody's guess wear the same font.

What we did

We bought dal makhani from six Bengaluru kitchens (two homes, two small restaurants, two cloud kitchens), homogenized each batch, and sent samples to an NABL-accredited lab for a full macro panel. Then we compared the lab results against the 14 most-copied database entries for the dish.

Fig 1 · The same dish, 14 database "facts," one lab panel.

What we found

Per 100 g, the lab average came out at 142 kcal. Here's how the popular entries compared:

Sourcekcal / 100 gvs. lab
Lab panel (avg of 6 kitchens)142baseline
Best database entry151+6%
Median database entry118−17%
Worst database entry76−46%

Read that last row again. If you're cutting on 1,800 kcal and dinner is two katoris of dal makhani, that one entry hides about 190 kcal a day. Over a 12-week cut, that's the difference between a result and a plateau you blame on yourself.

A marked estimate beats a confident lie. The danger isn't the guess. It's the guess dressed up as a fact.

Why entries drift

  • Recipes vary wildly. Home dal and restaurant dal are different foods. Butter and cream do a lot of quiet work.
  • Copies lose context. "Per serving" becomes "per 100 g" somewhere along the chain, and nobody notices.
  • Nobody signs their work. Once a number is separated from its source, there's no way to question it.

What we do differently

Every entry on the Mentzer record carries its source: lab certificate, brand label, USDA reference, or community, and estimates are tagged est right on the number. When you tap a food, you see where its numbers came from. When we don't know, the app says so.

Dal makhani now carries our lab panel, split into home-style and restaurant-style entries, because they genuinely are different dishes. Log the one you actually ate.


Foods you want us to send to the lab next? Tell us: hello@mentzer.app.

NM
N. MenonFood data · Runs the lab pipeline

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