What services keep about you, and how to look

100 min

Listen: this lesson as a conversation

Two hosts talk the lesson through. The voices are synthetic; the script was written from this lesson and checked against it, and asserts nothing the lesson does not.

In this lesson you will learn to
  • Apply a service's own data export and activity record, and say what one actually contains
  • Explain what deleting does and does not do, and name who else holds copies
  • Identify one setting worth changing and one convenience worth keeping, with the reason for each from your own threat model, the security plan you built in lesson 1

Twelve lessons have been about machines you can look inside. A file has a place. A command leaves an error you can read. A certificate is checkable. Even the con in lesson 11 works by a mechanism you can name.

This one is different, and the course should say so rather than pretend otherwise. What a service keeps about you is the thinnest-evidenced thing in this course, not because nobody has studied it but because what any particular company holds is visible only to that company. So this lesson does something narrower than the others. It doesn't tell you what is kept. It teaches you to look, and then tells you honestly what people find when they do.

What people believe, and what they cannot say

Start with the finding this course keeps coming back to. In 2015 researchers sat twenty-eight people down and asked them to draw the internet on paper.1 This course read that paper in full.

On deletion, the participants split into two camps. One held that once something is online it is there forever. The other held a vague belief that deleting works. Neither camp could say who held copies.1

That's the sentence to sit with, because the two beliefs look like opposites and they fail in the same way. Both are guesses about a question neither person had tried to answer, and the answer is partly available: every large service has an export, most have an activity record, and looking takes an afternoon.

So the fix this lesson offers isn't a rule. It's a procedure.

What an export is, and what the documentation actually promises

Google's own help page describes what happens when you ask for a copy of your data.2 This course read that page on 19 September 2026 and nothing else of Google's documentation, and everything in this section is quoted from it, because a company's own documentation is primary for what that company says it will do.

How long, in their words: "Depending on the amount of information in your account, this process could take from a few minutes to a few days. Most people get the link to their archive the same day that they request it."2

What arrives: a zip file, which they say "can be opened on almost any computer", or a tgz, of which they note "You may need additional software to open these files on Windows."2 If it is big it comes in pieces: "Archives that are larger than the size limit you selected are split into multiple files."2

And two limits that catch people out. "Your archive expires in about 7 days."2 And: "We only allow each archive to be downloaded 5 times; after that, please request another archive."2

Predict first

Before you read on. That is five concrete facts from the company's own documentation. Look back at them and write down what they tell you about what is inside the archive.

Show the answer

Nothing. They tell you nothing whatsoever about what is inside.

Every one of those five facts is about delivery. How long the parcel takes, what the parcel is wrapped in, how big a parcel can be before it is split, how long it sits on the doorstep, how many times you may pick it up.

Not one word about contents, readability or completeness, and this is a help page written by the company with every incentive to be reassuring. The gap isn't a criticism of the page. Documentation describes the service, and what's in your archive depends on you.

But it does mean something for how you read the promise. If you want to know what a service holds, the documentation cannot tell you and the archive can. That asymmetry is what the rest of this lesson is for.

What people find when they open one

Here the course leaves the company's account and goes to people who have watched others do it.

In 2024 a team ran a study in which thirty-three participants explored their own data from Amazon, Facebook, Google, Spotify, or Uber.[3] This course read the abstract and did not open the paper, so what follows is at that level.

The design is worth stating because it's unusually direct: participants "articulated questions they hoped to answer using the exports" and "annotated parts of the export they found confusing, creepy, interesting, or surprising".[3]

And the finding, in the authors' words: "While participants hoped to learn either about their own usage of the platform or how the company collects and uses their personal data, these questions were often left unanswered."[3]

Read that against the previous section. The documentation tells you nothing about the contents. The contents, for thirty-three people across five large services, often did not answer the questions they arrived with.

The same abstract records something else, and it belongs here: participants' annotations "documented their excitement at finding data records that triggered nostalgia, but also shock and anger about the privacy implications of other data they saw".[3] One archive, both reactions, on this course's reading of that sentence.[6] And afterwards, "many participants hoped to request the company erase some, but not all, of the data", which is a more interesting result than either camp in the 2015 study would've predicted.

A second study, from 2021, gathered people's reactions to six companies' downloads: twelve focus groups, forty-two participants.[4] Read at abstract level here too. Its finding was that "Most participants indicated that current offerings need improvement to be useful".[4] And its abstract opens, as background rather than as something the study found, with a flat sentence worth keeping: "Data downloads vary in format, organization, comprehensiveness, and content."[4]

Four dimensions of variation, which is exactly what no single export could've told you, and which is why this lesson is built on published work rather than on one archive.

Why there is more in there than you put in

Everything so far says people are surprised by their exports. Here is why, and it is the one piece of mechanism this lesson has.

Most of what a service holds about you is observed rather than provided. That split is this course's way of sorting it, not a finding from the studies above,[6] and neither is the claim that the observed part is the larger. What you typed into a box is provided: you gave it deliberately and you can usually remember doing it. What you opened, when you opened it, from where, on what device, in what order, and how long you stayed is observed. Nobody typed any of that in. It accumulates as a by-product of the service working at all.

And the observed part is usually the larger part, because it is what makes the product function and what makes it worth money. A recommendation needs what you watched, not what you said you liked. A map needs where you went.

That is why an export is stranger than people expect. A reader who thinks in terms of what they contributed is auditing the smaller half, and it is also why "I never posted anything" is not an answer to the question: not posting removes you from the provided column and leaves the observed one untouched.

Priya's location history, below, is this distinction with a name on it. She never typed a single place into anything.

What deleting actually means

Now the second half of the 2015 finding: nobody could say who held copies.

Deletion is four different things, and they happen on four different timescales. This four-way split is this course's own way of organising the question rather than a finding from any source read here.[6]

Removed from your view. The item stops appearing in your account. This is the one you can see, and it's the only one you ever get direct evidence of.

Removed from the company's active systems. The row is gone from the database the product runs on. You can't observe this, and a service that has done the first hasn't necessarily done the second.

Removed from backups. Lesson 12 was about what makes a copy a backup, and how long a provider keeps one. The same logic applies on their side: a company that can restore last month can restore what you deleted this month, until those backups age out.

Removed from everyone they already shared it with. If a copy went to another company before you deleted it, your deletion is a request about their systems that has to travel, if it travels at all.

Predict first

A service tells you your photo is deleted and it disappears from your account. Which of the four has definitely happened, and what would it take to observe any of the other three?

Show the answer

The first, and only the first.

Disappearing from your account is evidence about your account. It is the one sense of deletion that reports on itself, which is exactly why it is the one people generalise from.

What it would take to observe the others is the uncomfortable part. For the active systems, you would need to see inside a database you have no access to. For backups, you would need to know the provider's retention window and then watch it elapse. For the copies already shared, you would need to know who they went to, which is the question the 2015 participants could not answer.1

So three of the four are unobservable from where you are standing, and a claim about them is a claim about somebody else's systems made from outside. That is not a reason to despair. It is the reason the request is worth making, because the export is the one window there is.

"I deleted it" is a claim about the first of those four, and the other three are the ones the question was actually about.

What you can demand, and where

This depends on where you live, and this course names the jurisdiction every time it says what you can demand. And it has to say something about itself first: this course has read no legal source for any of what follows, so take it as a pointer to look up your own jurisdiction rather than as advice about your rights.[6]

The right of access and the right to erasure are best known in their European form, under the GDPR. If you're in the European Union or the United Kingdom, you can require a company to give you a copy of what it holds and, in defined circumstances, to erase it.

In the United States there is no single federal equivalent. There is a patchwork of state laws, several of which grant similar rights, and which one applies to you depends on your state. A reader in California has rights a reader in Ohio may not. One of this lesson's own sources carries the point in its title: the 2021 study is about downloads under GDPR and CCPA access rights, and the CCPA is Californian.[4]

So before you rely on any of this, look up your own. Search for your country's or state's data-protection authority. That is a ten-minute job and this course cannot do it for you.

And the export button is not the same thing as the legal right. Google offers an export as a product feature, and the page you read for it is a help page rather than a statute. That's convenient and it isn't a right, and a feature offered voluntarily can be changed.

Check yourself

This lesson is about to ask you to go and look at your own data. Before it does: is looking actually a good idea, and what is the evidence?

Show the answer

The honest answer is that the best evidence available cuts against this lesson's own method, and saying so is the point of putting it here.

A 2021 survey of 153 participants studied Google's My Activity dashboard.[5] This course read the abstract and not the paper. Participants found the volume and detail of collected data surprising, as you'd expect. Then the counterintuitive part: exposure to the dashboard made them significantly more likely to be both less concerned about data collection and to view it more beneficially, and only 25 percent said they would change any setting or behaviour afterwards.

The authors' own conclusion, verbatim: "it remains unclear if such transparency tools actually improve end user privacy by sufficiently assisting or motivating users to change or review data collection settings."[5]

So why does this lesson still tell you to look?

Because of what the alternative is. The 2015 participants who had never looked held confident beliefs in both directions and could not say who held copies.1 Looking replaces a guess with a fact about your own account, and this course's position is that knowing is worth having even where the evidence that it changes behaviour is weak. That's a judgement rather than a finding, and you should know it is one.

What the dashboard study does change is the instruction. Looking is not the exercise. Writing down what you will do differently, before you know what is in it, is the exercise, and that is how the practice below is built.

One record, one decision

This case is constructed and is not from any source read for this course.[6]

Priya opens the activity record on the service she uses most. She expects to find searches, because she knows she searches. She finds those, and she also finds a list of every place her phone has been, going back years, because a feature she uses for traffic on her commute needs it.

Here is the part that matters. She did not know it was kept. She does use the feature. Switching the record off would break the feature.

The question is what she should do, and this course will not answer it.

That isn't evasiveness. What a person should trade for convenience is a value question, and it depends on things this course doesn't know: who she is worried about, what her commute is worth to her, and what else is in her life. A course that told her to switch it off would be making that judgement for her with less information than she has.

What the course can give her is the shape of the decision.

Predict first

Priya has the mechanism and the rights. What are the two things she should write down, whichever way she decides?

Show the answer

What she gave up, and what she got for it. Both, in her own words, on the same line.

The reason for both halves is that a decision with only one isn't a decision. "I switched off location history" records a cost with no benefit attached and will be reversed the first time the traffic feature fails. "I kept the traffic feature" records a benefit with no cost attached and is indistinguishable from never having looked.

Written together, they turn a default into a choice, and a choice is something you can revisit when your circumstances change. That is the whole of what this lesson can offer, and it is more than either camp in the 2015 study had.

What people get wrong

"Deleting removes it." It removes it from your view. The other three senses of removal are unobservable from where you are standing.[6]

"I have nothing to hide, so it doesn't matter." For some readers and some threats, that is close to true, and pretending otherwise would lose the argument with the readers who most need it. The honest version is narrower: it matters in proportion to your security plan from lesson 1. Somebody whose ex-partner is trying to find them, somebody whose employer is hostile, and somebody who is simply tired of advertising have three different answers, and only the first is urgent.

"A paid service won't sell my data, because I paid." This was one of the beliefs recorded in the 2015 study, and paying establishes a business relationship rather than a restriction.1

"Private browsing means the service doesn't have it." Lesson 8 has the mechanism. A private window changes what your own machine keeps, and the service on the other end sees what it always saw.

"I can make any company delete everything." Jurisdiction, above.

"Once it's online it's there forever, so none of this matters." The other half of the 2015 split, and it fails in the same way as its opposite: it is a guess about who holds copies, made by somebody who has not looked.1 It is also the belief that makes the request pointless, and the thirty-three people in 2024 who did look included many who wanted some of their data erased rather than all of it or none.[3]

Practice

Ask, then write the prediction down

Take 20 minutes now, and about an hour when the archive arrives.

Request an export from one service you actually use. Pick one or two products rather than everything, or you'll wait days for something too large to read.

Then, before it arrives, write down three predictions.

  1. What you expect to be in it, listed.
  2. What you expect not to be in it.
  3. One thing you will change if you are wrong, named specifically enough that somebody could tell in a month whether you had done it.

The third line is the one that matters and it must be written before the archive lands. A prediction written before the evidence arrives is the only kind that can turn out wrong, which is what makes it worth writing. Decide afterwards and you will never know what you would have said.

When it arrives, use lessons 2 and 3 to find and open it. If that sentence sounds easy, notice that it wouldn't have been twelve lessons ago, which is worth noticing.

Find the oldest thing

Allow 30 minutes.

Open the activity record on the service you use most. Not the export: the live record, the one that updates as you use it.

Find the oldest entry in it. Scroll, or use whatever date control it offers.

Then three lines.

  1. How far back it goes.
  2. One category of thing in it you did not know was being kept, or a note saying there was none, which is a real result and worth recording.
  3. The trade, if there is one: what switching that category off would cost you, and what keeping it costs you, in your own words.

This course doesn't tell you which way to decide. It has given you the mechanism, the four senses of deletion, and the rights that apply where you live. The weighing is yours, and doing it deliberately once is worth more than a rule somebody else wrote.

Connections

Back, and this lesson needs more of the course than any other. Lesson 1 is the threat model, which is what it called your security plan and the five questions behind it, and without it the question "does this matter?" has no answer. Lessons 2 and 3 are how you find and open what arrives. Lesson 7 is who was in the path before the service ever got your request. Lesson 8 is what the private window did not stop. Lesson 12 is copies and how long they live, which is the same mechanism seen from the other side of the wire.

Out. This is the last lesson of the course. Using AI Effectively is where what you type into a system becomes the same question again, and it is on the path after this one.

Go deeper

  • Download your data, Google. Read on 19 September 2026, and worth reading yourself because it is short, it is primary, and it may well have changed by the time you read this, which is why the date is on it.
  • "Data Subjects' Reactions to Exercising Their Right of Access", Borem and colleagues, USENIX Security 2024. This course read the abstract only. The abstract says participants annotated what they found confusing, creepy, interesting or surprising, and the paper is where those annotations are.
  • "'My Data Just Goes Everywhere'", Kang and colleagues, SOUPS 2015. Read in full for this course. The drawings are the part that stays with you.

Sources

  1. Ruogu Kang, Laura Dabbish, Nathaniel Fruchter and Sara Kiesler, "'My Data Just Goes Everywhere': User Mental Models of the Internet and Implications for Privacy and Security", SOUPS
    1. Read in full, pages 39 to 46. Twenty-eight participants, seventeen lay and eleven technical. Supports: the split between "there forever" and a belief that deletion works, and that neither group could say who held copies; and the belief that a paid service will not sell your data.
  2. Google, "Download your data", support.google.com. Fetched and read 19 September 2026, which the body says at the point of use. Primary for what Google states about its own product, and dated deliberately, because a help page is exactly the kind of source that goes stale inside a year. Supports the five quoted facts: the time to build an archive, zip and tgz, splitting above a chosen size, expiry in about seven days, and the five-download limit. It supports nothing about contents, which is the observation the lesson builds on.
  3. Arthur Borem, Elleen Pan, Olufunmilola Obielodan, Aurelie Roubinowitz, Luca Dovichi, Michelle L. Mazurek and Blase Ur, "Data Subjects' Reactions to Exercising Their Right of Access", 33rd USENIX Security Symposium, 2024. Read at abstract level; the paper was not opened, which the body says. Supports: the thirty-three participants and the five named services, the study design, the questions often left unanswered, the nostalgia and the shock, and that many wanted some but not all of their data erased.
  4. Sophie Veys, Daniel Serrano, Madison Stamos, Margot Herman, Nathan Reitinger, Michelle L. Mazurek and Blase Ur, "Pursuing Usable and Useful Data Downloads Under GDPR/CCPA Access Rights via Co-Design", SOUPS 2021. Read at abstract level; the paper was not opened. Supports: twelve focus groups, forty-two participants, six companies' downloads, and the quoted sentence about the four dimensions of variation.
  5. Maximiliane Farke, David Balash, Maximilian Golla, Markus Dürmuth and Adam Aviv, "Are Privacy Dashboards Good for End Users? Evaluating User Perceptions and Reactions to Google's My Activity", USENIX Security 2021. Read at abstract level; the paper was not opened. Supports: the 153 participants, that exposure made people significantly more likely to be less concerned and to view collection more beneficially, the 25 percent figure, and the authors' quoted conclusion.
  6. The course's own constructions, each labelled where it appears in the body. The four senses of deletion are this course's way of organising the question rather than a finding from any source read here, and the body says so where the list begins. Priya's case is constructed, and the body says so. The jurisdiction summary is a statement of the legal position as this course understands it and is not drawn from a legal source read for this file. The body says so where the section opens, and sends the reader to their own data-protection authority before relying on any of it. The split between provided and observed data, and the view that the observed part is usually larger, are this course's framing, labelled where the section opens. And the decision to send readers to look, in the face of a study suggesting that looking often leaves people calmer and changes little, is this course's judgement, said as such in the checkpoint. What this course still does not have is any figure for how often exports are late, incomplete or unreadable. Several such figures exist in the literature; none of them was obtained at a level this course could print, and no number of that kind appears in this lesson.

Check your understanding

This lesson has a 6-question quiz. Pass it and the questions come back on a schedule in Review, so what you learned stays learned. Your progress is saved in your browser; no account needed.