Data Collection
How Piaci Pizza readers shape what we publish
Piaci Pizza is a food-history site you read. It is also a running study of how people actually cook, host and eat — built from anonymous one-tap signals and published back to you, so you get food advice based on what real readers do, not one cook’s opinion.
Two layers, one site
Every article here does two jobs at once.
Food stories worth your time
The meals, menus, restaurants and kitchen rituals that shaped how we eat — researched, written and pictured to inform, inspire and entertain.
A reader-built picture of the table
Layered on top, readers can react, vote and guess as they go. Counted anonymously across thousands of people, those signals become data-backed articles about real food habits that no recipe site or cookbook can offer.
What we measure
Only the signals readers choose to give, plus ordinary page analytics.
Reactions on dishes
A heart or thumbs-down under a photo — the casserole you grew up on, the plate you would never serve — with an optional one-tap “why?” (looks homemade, too fussy, brings back memories).
Settle-It polls
Short polls on hosting and eating: potluck or cook everything, plated or family style, Neapolitan or New York, a dinner party that ends at ten or after midnight.
Lived it · Remember it
On nostalgia pieces, one tap says whether you ate it, remember it, or it was before your time — so we can see which food eras our readers actually lived.
Guess the price
On stories that list old prices, guess the price before it is revealed. It shows how far our memory of food costs drifts from the real number.
Saves
Save an image or an article to your own list. We count that a save happened; the list itself lives in your browser.
Reading activity
Which photos were viewed, how far down the page readers scroll and time on page — the basics that tell us which stories hold attention.
What’s stored with each signal
What we keep
A random session ID that isn’t linked to your name, email or any account · your device type · how you arrived (Pinterest, Facebook, a search engine and so on) · an approximate region at the state or province level, worked out at the network edge. Your IP address is not stored with this data. When a visit comes from one of our ads, we may attach the ad platform’s aggregate audience breakdown for that ad — the age-range and gender mix of everyone the ad reached — never anything about you personally.
What these features never collect
What we never take
- Your name, email address or any account details
- Your IP address or precise location
- Anything you type
- Who you are — there is no profile of you, only anonymous totals
- Anything about your health, diet restrictions or household
Most food writing tells you what to cook. We wanted to know what people actually make, serve and miss — and share it.
How results get published
Totals, never people.
We only publish totals and percentages across many readers, and small groups are never reported. On the page you will see live results after you vote once enough readers have answered; the bigger findings become articles — what hosts really do, which dinners people miss most, and how the American table is changing.
Images are described by their attributes — the type of dish, the setting, the era it reads as and how it is served — so reactions can be grouped into findings. We don’t use facial recognition, and people in photos are never identified.
Your choices
Take part, or don’t. Your call.
Every one of these features is optional: if you’d rather not take part, simply don’t tap. Saved images and articles live in your own browser, so clearing your browser storage removes them. Newsletter sign-ups and our advertising and analytics partners are covered separately in our Privacy Policy.