For an explicit-choice missing-object round, use position-first recall first and candidate elimination second: select the candidate that matches both the marked empty position and your memory of the original item. That keeps the task centered on one removal rather than a general hunt for hidden details.
Two approaches can handle this kind of round. Position-first recall asks you to identify the object that occupied the empty slot before reading the answers. Candidate-first elimination asks you to inspect four named options and rule out the three that were absent from the original scene. Both routes end with one selection; the better route is the one supported by a cue you can actually use during the preview.
The two decision paths at a glance
| Approach | Core action | Strongest cue | Main risk |
|---|---|---|---|
| Position-first recall | Reconstruct the object from the marked gap before reading the options. | Its label, visual code, shape, and former position. | A vague sense of location may point to several objects. |
| Candidate-first elimination | Compare all four options with the five objects seen in the original scene. | A clear mismatch in label, code, or geometric mark. | Plausible alternatives can make a quick decision feel confident. |
Position-first is the cleaner default for this comparison format because the changed view explicitly marks the position that is gone. The original and changed versions share the same layout, exactly one item is removed, and no second item changes position, label, shape, or code. A clear memory of the gap is therefore better evidence than an answer that merely looks familiar.
Candidate-first remains a valid route when individual attributes are easier to recall than the arrangement. Read each candidate's plain-English label, two-letter visual code, and geometric mark, then reject the three alternatives that were absent. Finish with the one candidate that is both plausible and consistent with the marked gap.
Choose based on the cue you can actually use
The decision does not require a permanent strategy. The preview gives you a complete five-item scene, and the choice phase supplies explicit options. Decide which information you registered most reliably, then use the other method as a check rather than treating either route as a test of memory or intelligence.
- Use position-first recall when the marked location immediately suggests a specific object, label, code, or mark. Start with “that slot held this item,” then find the matching candidate.
- Use candidate-first elimination when you remember item features more clearly than layout. Remove any choice whose label, code, or mark conflicts with your snapshot of all five original items.
- Combine both when a first impression conflicts by returning to the most distinctive feature you saw in the preview: its label, two-letter code, geometric shape, or placement in the marked slot.
Neither approach has a scoring advantage. A correct candidate is worth the same 200 points whichever route led to it, and the input method cannot change the correct answer, scoring, or error identity.
How to decide on each missing-object round
- Choose Start preview. Each round begins behind a cover, so the original scene does not appear until you deliberately start it.
- Study all five labeled items during the 2.4-second preview. Notice each plain-English label, two-letter visual code, geometric mark, and position rather than focusing on one object.
- Locate the marked empty position. When the changed scene appears, compare that visible gap with your memory of the original arrangement. This is a removal comparison, not an invisible-hotspot search.
- Apply one of the two decision routes. For position-first recall, name the item you expect at the gap and then find its candidate. For candidate-first elimination, check each option against your complete memory of the original five items.
- Choose exactly one candidate. Pointer and touch players can press a candidate button directly. Keyboard players move through the two-by-two grid with the arrow keys and press Enter or Space to select.
- Continue after a correct comparison. A correct choice immediately awards exactly 200 points and prepares the next covered scene.
- Repeat the same decision process across all five rounds. The fixed scenes are Morning Desk, Picnic Cloth, Workshop Bench, Travel Shelf, and Rainy Hall.
Each changed scene is derived from its own original fixture by removing exactly one identified item. The scene names do not disclose the missing relationships, and the answer for a later round does not appear in the current round's choices.
What the explicit candidate set confirms
During the choice phase, all four candidates are visible. Exactly one is the removed original item, while the other three are plausible alternatives that were not present in the original scene. This makes candidate elimination a supported method instead of a guess among unrelated pictures. You never need to tap a vague blank area, search a crowded illustration, or hunt for an invisible hotspot.
For that exact workflow, What's Missing Game uses five original, fixed scenes and one clearly marked removal per round. It is distinct from a hidden-object search: your task is to compare two versions of the same scene and select from named choices, with the missing position already identified.
Recover from a wrong first choice
The first distinct wrong candidate records one error but leaves the changed scene and all choices visible, allowing you to compare again and repair the round. Choosing that identical wrong candidate again does not consume another error. Only a second different wrong candidate closes the run in deadlock.
After the first error, return to the strongest original cue rather than treating the choices as a multiple-answer quiz. Ask what exact label, code, and mark belonged in the marked position, then select the one candidate that matches that item. Avoid rapidly trying different alternatives, because one more distinct wrong choice ends the run.
A correct selection resets the error state for that round and prepares the next covered scene. Pointer, touch, Enter, and Space all use the same choice rules, so switching controls cannot rescue or penalize an answer differently.
Handle preview interruptions and fixed scoring
If you hide or switch away from the browser tab during the original-scene preview, that preview is canceled safely and the round returns to Ready without recording an error. Returning to the tab requires starting the complete 2.4-second preview again; the changed scene cannot silently appear after the preview expires in a hidden tab.
Restart always returns to the same Morning Desk cover with zero points and zero recorded errors. Completion and deadlock are terminal states, and Restart provides the route back to the deterministic initial fixture.
Scoring is fixed. Each correct comparison earns exactly 200 points, and five correct rounds produce exactly 1,000 points. There is no speed bonus, preview-skipping bonus, random multiplier, partial score, streak modifier, or hidden difficulty adjustment.
What a 1,000-point result means
A 1,000-point result means only that all five authored comparisons were answered correctly under the disclosed rules. The game is recreational: it does not diagnose memory loss, measure intelligence or attention, certify visual ability, or provide an educational or clinical score.
Everything runs locally in the browser. No account, upload, API, paid service, or device permission is required, so the decision method can be tested without connecting personal data or installing another package.
A two-pass rule for every round
- Pass one—gap to object: Use the marked position to identify the item you remember occupying that slot.
- Pass two—object to candidate: Compare that item's label, visual code, and mark with the four choices, eliminating absent alternatives.
- Final check—submit one: Choose the candidate supported by both passes rather than submitting several plausible options or relying on a vague spatial impression.
The goal is not to decide which approach sounds clever. It is to use the strongest available evidence, reconcile the position and candidate cues, and make one deliberate choice about the single documented change.
For a deeper look, see How to Compare Two Approaches in Addition Maze.