Novel reviewPageNF-0085

The Joke Is Also the Product

Dave Eggers's sequel to The Circle gets one thing exactly right, that a parody app and a real one look the same in a pitch meeting, and then spends 500 pages proving it.

Quick answer

Nearfi scores The Every (2021) 5.0/10 as art. The central joke, that an app proposed in contempt is adopted with delight, is the book's best idea and an accurate one. As prophecy, its P(n) is 54%: Voluntary self-scoring and algorithmic management are here, while the reliable truth-detecting app and the retailer-plus-social-network merger that power the plot are not.

At a glance
As art
5.0/10
Why it scored 5.0
  • The central joke, that an app proposed in contempt is adopted with delight, is the book's best idea and an accurate one.
  • It repeats The Circle at greater length, with a static heroine and a plot that waits for its ending.
  • The self-tracking and workplace scoring it mocks are real, but its lie-detecting app and the merger behind it are not.
As prophecy
54% P(n)
chance its future arrives by 2046 · P50 60%

Voluntary self-scoring and algorithmic management are here, while the reliable truth-detecting app and the retailer-plus-social-network merger that power the plot are not.

Its most pivotal predictions
  • ARRIVED Large numbers of ordinary people voluntarily use services that measure and score their bodies and habits, supplying the data to the firm that runs them.
  • FAR A consumer app reliably detects whether a person is lying, and employers and others rely on it to expose people.
  • ARRIVING Employers use continuous worker data to trigger promotions, warnings and dismissals through automated systems.
Every prediction, with evidence →
The Every: official artwork
5.0
The Every · Dave Eggers · 2021
Nearness
FARNEARARRIVINGARRIVED

Voluntary self-scoring and algorithmic management are here, while the reliable truth-detecting app and the retailer-plus-social-network merger that power the plot are not.

In November 2021 you could not buy the hardcover of The Every from Amazon. That was the point. Dave Eggers's novel is about a tech giant that has swallowed the world's biggest online retailer, so his own small press, McSweeney's, sold the first edition only through independent bookshops and its own website. The Vintage paperback, which followed, was sold everywhere.

It's a good stunt, and a good stunt is a risky thing to put on the front of a novel. You start reading in a mood to agree.


The book: a saboteur, a promotion, a cliff

The Every picks up some years after The Circle. The Circle has merged with an e-commerce behemoth the novel calls "the jungle", and the combined company is the Every. Mae Holland, the convert of the first book, is now its chief executive. The new heroine is Delaney Wells, a former forest ranger from Idaho who joins the company intending to wreck it from inside. Her method is to propose ideas so intrusive and absurd that the public will finally revolt.

They don't. They love them. In Adam Roberts's review in The Spectator, her deliberately terrible apps, one that reports whether you enjoyed your meal and another that reports whether your partner did, turn into hits. Around her, the Every does what the Every does. A data programme decides promotions and firings, the company's word for which is "deëmployment". An app ranks your friendships so you can drop the low scorers. A personality test has more or less replaced psychology. An algorithm uses audience ratings to shape films and novels.

That is a good premise with a real comic engine. The idea that the saboteur's best work is her most successful work is the best thing Eggers has written about the industry, and it comes with a genuine insight: you can't parody a company whose product pitch is already a parody. A stronger novel would have built on it.

This one doesn't. Delaney is mostly a vehicle for the next idea, and her friend Wes, who helps her prototype the lie-detecting app, loses interest in resistance as his standing at the company rises. The New York Times reviewer Chelsea Leu found the story strikingly static and very little left to interpretation, and that's fair. Roberts called it The Circle "but more so". It's well over 500 pages, and a list of bad ideas, however well observed, stays a list. The ending, a staged resistance, a hike and a waterfall, turns the book briefly into a thriller. It is too little and too late for the form. Mae, who had no inner life in The Circle, gets a plan here, and the reveal works mostly because we've been told so little about her.

I'll say one more thing in its favour. Eggers is angry, and the anger is specific. The book does read like the work of a man who has actually looked at what these companies do. It's just that anger is a motive, not a plot.


The prophecy: what came true, and what the plot needed

The willing public. The book's central bet is that people will buy their own measurement. They have. By Pew's survey in 2019, 21% of American adults regularly wore a smartwatch or fitness tracker. The same organisation found that 81% of Americans thought the risks of company data collection outweighed the benefits, and 81% felt they had little or no control over it. Both numbers are true at once. Eggers saw that gap years early: people will tell a pollster they hate it and strap it on anyway. This is the one place the novel is a better prophet than satirist, because it never explains the gap as stupidity.

The score at work. In April 2019, The Verge reported on a letter from an Amazon lawyer that described how the company's warehouse system tracks "time off task" and generates warnings, and can generate terminations, at a Baltimore site. Amazon denied that employees were fired by an automatic system. The dispute is the point: the idea of a worker's fate decided by a dashboard was already contested before the book appeared. Regulators have since moved. The EU's Platform Work Directive, which member states must put into law by 2 December 2026, requires human oversight of automated decisions and bars platforms from processing workers' emotional or psychological state. The fictional "deëmployment" has a real counterpart, and a rulebook about it.

The truth app. The lie detector is the plot's trigger, and it's where the book is most fiction. A 2024 study in iScience trained an algorithm on people's true and false accounts of their weekend plans. It guessed correctly about 66% of the time. Humans, unassisted, managed about 46%. That's better than us, and nowhere near reliable. The study's real finding was what people did with it: judges shown a prediction of "false" accused the speaker more than 40% of the time, against 13% when it said "true". Only about a third asked for the tool in the first place. The risk wasn't that the machine would see through us. It was that a machine's suspicion would make us more suspicious. The EU's AI Act, in force for its banned practices since February 2025, forbids AI that infers emotions in workplaces. Whether that covers a lie detector is a question regulators haven't settled.

The merger. The book needs a retailer and a social network to become one firm. Regulators and courts have made that less likely, though not because they've broken anyone up. In November 2025 a federal judge ruled that Meta isn't an illegal monopoly. In January 2024, Amazon dropped its planned $1.4bn purchase of iRobot after opposition from the European Commission. The real tech giants have grown into each other's markets, rather than merging into one. That's a less dramatic story than Eggers tells, and a more annoying one.


The reading

The Every has one idea, a good one, and it states it on page one and then restates it. As a novel it's sluggish, and Delaney, who ought to be the anchor, is the lightest thing in it. As prophecy it's patchy in an instructive way: it is right about us and wrong about the machinery. The apps people really wear were built without any scheme, by teams who thought they were helping. Nobody had to be fooled by a villain. They only had to be offered a convenience.

That's what the book misses. A parody can't beat a product, because a product doesn't need to be believed. It only needs to work well enough to get installed.

The prediction ledger

What it predicted, and what happened

P50 · by 2076
60%
Here now
43%
Claims
4
Next likely arrival
2030

The Every is most accurate about people: large numbers voluntarily wear and use services that measure and score them, and employers already lean on automated management. It is least accurate about machinery and corporate structure. Reliable lie detection does not exist, and the retailer-plus-social-network merger that the plot rests on has not happened.

How this P(n) was calculated

P(n) is the chance that this work's future arrives within 20 years, by 2046. For each prediction we turn our estimate into a probability: arrived is 100%, diverged is 0%, and otherwise the low end of our 80% range counts as a 10% chance, the median year 50% and the high end 90%. Each prediction is weighted 1–5 by how pivotal it is to the story, and P(n) is the weighted average. P50 does the same by 2076. P(n), explained.

ClaimPrediction · why this weightWeightStatus · estimateBy 2046By 2076
EVERY-1Large numbers of ordinary people voluntarily use services that measure and score their bodies and habits, supplying the data to the firm that runs them.
Core premise: the Every's power rests on a public that adopts each new tracking and scoring product willingly.
5ARRIVED
arrived 2019
100%100%
EVERY-2A consumer app reliably detects whether a person is lying, and employers and others rely on it to expose people.
Major: the truth-detecting app opens the plot and is used to expose the heroine's intent.
4FAR
2100 (2060–2200)
6%26%
EVERY-3Employers use continuous worker data to trigger promotions, warnings and dismissals through automated systems.
Supporting: the company's data programme for promotion and firing is a real part of its workplace but not the plot.
3ARRIVING
2030 (2027–2040)
96%100%
EVERY-4The world's biggest online retailer and the biggest social and search platform merge into a single company.
Supporting: the merger is the setting and Delaney's motive for revenge but not the story itself.
3DIVERGED
—
0%0%
P(n) = P20 = Σ(weight × chance by 2046) ÷ Σ weight = 8.1 ÷ 15 = 54%
P50 = 9.0 ÷ 15 = 60%

Already here today (arrived 1, arriving ½, weighted): 43%.

  1. EVERY-1

    Large numbers of ordinary people voluntarily use services that measure and score their bodies and habits, supplying the data to the firm that runs them.

    ARRIVEDCore premiseArrived 2019Confidence: high

    Weight 5/5 · Core premise: the Every's power rests on a public that adopts each new tracking and scoring product willingly.

    By mid-2019 about one in five American adults regularly wore a smartwatch or fitness tracker, and the share has presumably grown since. The same research centre found that most Americans say they feel little control over what companies collect and think the risks outweigh the benefits, so the adoption is willing but uneasy. The novel's version is more total than anything real, since no single company scores friendships and meals, but the behaviour it relies on is documented. 12

  2. EVERY-2

    A consumer app reliably detects whether a person is lying, and employers and others rely on it to expose people.

    FARMajorEst. 2100 · range 2060–2200+Confidence: low

    Weight 4/5 · Major: the truth-detecting app opens the plot and is used to expose the heroine's intent.

    Experimental algorithms can beat human guessing at spotting false statements but are far from reliable, at about two correct calls in three in one 2024 study. Studies of polygraph accuracy have a longer history of dispute, and the EU has banned AI that infers emotions in workplaces, though whether this covers lie detection is unsettled. Real use is also the opposite of the novel's: few people choose to use such tools, and those who do accuse more. The range assumes reliable detection is possible at all, which is uncertain. 345

  3. EVERY-3

    Employers use continuous worker data to trigger promotions, warnings and dismissals through automated systems.

    ARRIVINGSupportingEst. 2030 · range 2027–2040Confidence: medium

    Weight 3/5 · Supporting: the company's data programme for promotion and firing is a real part of its workplace but not the plot.

    Warehouse and platform work already runs on productivity metrics, and a 2019 report based on a letter from an Amazon lawyer said a system generated warnings and terminations at one site. Amazon disputed that employees were fired by an automatic system. The EU is meanwhile requiring human oversight and review of such decisions for platform workers, with national laws due by 2 December 2026. Regulation slows the fully automatic version and does not stop the metric-driven one, which is why the status is ARRIVING. 678

  4. EVERY-4

    The world's biggest online retailer and the biggest social and search platform merge into a single company.

    DIVERGEDSupportingNo arrival expected in this formConfidence: medium

    Weight 3/5 · Supporting: the merger is the setting and Delaney's motive for revenge but not the story itself.

    No such merger has happened, and regulators have shown themselves willing to stop even much smaller deals, such as Amazon's abandoned purchase of iRobot. US courts have not been quick to break companies up either: a judge ruled in November 2025 that Meta is not an illegal monopoly. The platforms have concentrated power by expanding into each other's markets, so the effect has arrived by another route. 910

Evidence
  1. FOR About one-in-five Americans use a smart watch or fitness tracker. Pew Research Center, 2020-01-09. 21% of US adults regularly wear a smartwatch or fitness tracker, per a June 2019 survey of 4,272 adults.
  2. AGAINST Americans and Privacy: Concerned, Confused and Feeling Lack of Control Over Their Personal Information. Pew Research Center, 2019-11-15. 81% say the risks of company data collection outweigh the benefits and 81% say they have little or no control, so the adoption is reluctant.
  3. AGAINST Lie detection algorithms disrupt the social dynamics of accusation behavior (summary of the iScience study). ScienceDaily, 2024-06-27. An algorithm was about 66% accurate against 46% for humans, only about a third of judges asked for it, and a "false" prediction sharply raised accusations.
  4. CONTEXT Red Lines under EU AI Act: Unpacking the prohibition of emotion recognition in the workplace and education institutions. Future of Privacy Forum, 2025. Article 5(1)(f) bans AI that infers emotions in workplaces and schools, with medical and safety exceptions. It does not settle whether lie detection counts.
  5. CONTEXT The Polygraph and Lie Detection. National Research Council (National Academies Press), 2003. The 2003 report addresses the difficulty of measuring polygraph accuracy and surveys alternatives such as voice-stress analysis and brain measurement.
  6. FOR How Amazon automatically tracks and fires warehouse workers for 'productivity'. The Verge, 2019-04-25. Reports on a letter from an Amazon attorney describing automated warnings and terminations for low productivity at a Baltimore site.
  7. AGAINST Amazon denies report that it fires workers by robot. KUOW, 2019-04-26. Amazon says employees are not terminated through an automatic system, so what the system does remains disputed.
  8. CONTEXT Directive (EU) 2024/2831 on improving working conditions in platform work. EU-OSHA, 2024-12-20. Requires human oversight of automated decision systems, bars processing of workers' emotional or psychological state, and sets a transposition deadline of 2 December 2026.
  9. AGAINST Amazon Abandons $1.4bn iRobot Buy Amidst EU Opposition. Silicon UK, 2024-01-29. Amazon called off a $1.4bn deal after the European Commission raised competition concerns.
  10. CONTEXT Federal Judge Says Meta Is Not a Monopoly, Ending FTC's Long-Running Antitrust Case. Hogan Lovells, 2025-12-02. Law-firm analysis of the ruling, which also notes that the FTC's monopolisation case against Amazon is due for trial in early 2027.

Ledger updated 6 Nov 2026. Open this ledger as its own page · The P(n) Board · Method

Cover of the Vintage paperback edition.

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