When a learner can reproduce a familiar example but a small variation causes confusion, the problem is usually an incomplete model rather than a lack of effort. The fastest useful response is to expose the hidden state and test one boundary at a time.

CSS text-wrap: balance selects wrapping that tries to distribute the remaining inline space more evenly across a block’s line boxes when that improves on ordinary wrapping. Mastery means recognising that text-wrap is a shorthand for wrap mode and wrap style, that balancing chooses among existing soft wrap opportunities rather than inventing breaks, that width, fonts, language, hyphenation and inline content all change the candidate layout, and that user agents may fall back to ordinary wrapping for blocks with more than ten lines. This guide begins with that mechanism, then develops it through worked traces, deliberate mistakes, explained practice and transfer decisions.

The aim is independent reasoning. A learner should be able to predict behaviour, locate the earliest wrong assumption, use a safe diagnostic procedure and defend a design choice in a new project.

Punggol families can use the guide in short sessions around homework, CCAs and rest. The activities are proposed learning exercises, not claims about a physical branch, timetable, class size, fee, school relationship or guaranteed result.

Use disposable data and repositories, preserve backups, and check version-sensitive details against the official source. Current documentation settles a technical contract; observation and explanation turn that contract into usable knowledge.

The text-wrap shorthand sets text-wrap-mode and text-wrap-style; the single value balance selects the balance style while omitted mode uses its initial wrap value. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is calling balance a completely independent property with no mode interaction. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for text-wrap is a shorthand, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the text-wrap is a shorthand chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on calling balance a completely independent property with no mode interaction. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap: balance; }

Four purposeful transfer cases

Case 1: study-card heading. Predict the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: project banner. Contrast the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: revision dashboard. Stress-test the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: CCA poster. Explain the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers calling balance a completely independent property with no mode interaction.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for text-wrap is a shorthand, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from text-wrap is a shorthand?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing calling balance a completely independent property with no mode interaction be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny science caption with a compact label competes with a fixed icon for line space. Include one ordinary case, one boundary and one deliberate failure caused by calling balance a completely independent property with no mode interaction. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For text-wrap is a shorthand, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

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text-wrap-style: balance expresses the style decision directly while leaving the separately specified wrapping mode intact. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is using the longhand and later resetting it accidentally through text-wrap. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for The longhand is text-wrap-style, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the The longhand is text-wrap-style chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on using the longhand and later resetting it accidentally through text-wrap. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap-mode:wrap; text-wrap-style:balance; }

Four purposeful transfer cases

Case 1: revision dashboard. Contrast the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: CCA poster. Stress-test the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: parent guide. Explain the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: science caption. Transfer the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers using the longhand and later resetting it accidentally through text-wrap.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for The longhand is text-wrap-style, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from The longhand is text-wrap-style?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing using the longhand and later resetting it accidentally through text-wrap be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny responsive laboratory with container widths reveal where balancing helps or disappears. Include one ordinary case, one boundary and one deliberate failure caused by using the longhand and later resetting it accidentally through text-wrap. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For The longhand is text-wrap-style, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

The browser chooses among allowed soft wrap opportunities to reduce variation in remaining space across line boxes. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is expecting the property to stretch letters or justify every line. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Balance chooses line-break opportunities, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Balance chooses line-break opportunities chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on expecting the property to stretch letters or justify every line. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

h2 { max-inline-size:24rem; text-wrap:balance; }

Four purposeful transfer cases

Case 1: parent guide. Stress-test the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: science caption. Explain the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: responsive laboratory. Transfer the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: accessibility audit. Predict the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers expecting the property to stretch letters or justify every line.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Balance chooses line-break opportunities, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Balance chooses line-break opportunities?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing expecting the property to stretch letters or justify every line be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny accessibility audit with zoom, custom fonts and reflow test reading without forced breaks. Include one ordinary case, one boundary and one deliberate failure caused by expecting the property to stretch letters or justify every line. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Balance chooses line-break opportunities, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

Language rules and other line-breaking properties define soft wrap opportunities; balance prioritises among those opportunities. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is expecting a long unbreakable identifier to split without overflow rules. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for It cannot invent arbitrary word breaks, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the It cannot invent arbitrary word breaks chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on expecting a long unbreakable identifier to split without overflow rules. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap:balance; overflow-wrap:anywhere; }

Four purposeful transfer cases

Case 1: responsive laboratory. Explain the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: accessibility audit. Transfer the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: study-card heading. Predict the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: project banner. Contrast the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers expecting a long unbreakable identifier to split without overflow rules.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for It cannot invent arbitrary word breaks, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from It cannot invent arbitrary word breaks?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing expecting a long unbreakable identifier to split without overflow rules be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny study-card heading with a short title wraps across two lines on a narrow phone. Include one ordinary case, one boundary and one deliberate failure caused by expecting a long unbreakable identifier to split without overflow rules. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For It cannot invent arbitrary word breaks, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

Line composition depends on available inline size, so the same heading can balance differently across cards, sidebars and full-width layouts. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is copying one screenshot’s breaks as a universal outcome. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Container width changes the answer, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Container width changes the answer chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on copying one screenshot’s breaks as a universal outcome. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.card-title { inline-size:min(100%,22rem); text-wrap:balance; }

Four purposeful transfer cases

Case 1: study-card heading. Transfer the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: project banner. Predict the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: revision dashboard. Contrast the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: CCA poster. Stress-test the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers copying one screenshot’s breaks as a universal outcome.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Container width changes the answer, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Container width changes the answer?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing copying one screenshot’s breaks as a universal outcome be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny project banner with one announcement title adapts from laptop to mobile width. Include one ordinary case, one boundary and one deliberate failure caused by copying one screenshot’s breaks as a universal outcome. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Container width changes the answer, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

Font family, fallback glyphs, weight, size and letter spacing alter text metrics and therefore the balancing calculation. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is approving a layout before the production web font loads. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Fonts change measured line space, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Fonts change measured line space chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on approving a layout before the production web font loads. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { font:700 2rem/1.1 system-ui; text-wrap:balance; }

Four purposeful transfer cases

Case 1: revision dashboard. Predict the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: CCA poster. Contrast the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: parent guide. Stress-test the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: science caption. Explain the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers approving a layout before the production web font loads.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Fonts change measured line space, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Fonts change measured line space?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing approving a layout before the production web font loads be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny revision dashboard with card headings vary in length but keep readable rhythm. Include one ordinary case, one boundary and one deliberate failure caused by approving a layout before the production web font loads. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Fonts change measured line space, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

The content language and writing system influence allowed line breaks, so correct lang metadata is part of the typographic input. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is testing English and assuming identical behaviour for Chinese or mixed-script titles. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Language affects break opportunities, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Language affects break opportunities chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on testing English and assuming identical behaviour for Chinese or mixed-script titles. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

<h2 lang="en-SG" class="title">Plan the next revision step</h2>

Four purposeful transfer cases

Case 1: parent guide. Contrast the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: science caption. Stress-test the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: responsive laboratory. Explain the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: accessibility audit. Transfer the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers testing English and assuming identical behaviour for Chinese or mixed-script titles.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Language affects break opportunities, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Language affects break opportunities?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing testing English and assuming identical behaviour for Chinese or mixed-script titles be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny CCA poster with a bilingual heading tests language and font coverage. Include one ordinary case, one boundary and one deliberate failure caused by testing English and assuming identical behaviour for Chinese or mixed-script titles. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Language affects break opportunities, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

hyphens can add language-sensitive break opportunities, which can change the set of layouts balance evaluates. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is crediting balance for hyphens created by another property. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Hyphenation is a separate control, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Hyphenation is a separate control chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on crediting balance for hyphens created by another property. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap:balance; hyphens:auto; }

Four purposeful transfer cases

Case 1: responsive laboratory. Stress-test the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: accessibility audit. Explain the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: study-card heading. Transfer the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: project banner. Predict the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers crediting balance for hyphens created by another property.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Hyphenation is a separate control, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Hyphenation is a separate control?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing crediting balance for hyphens created by another property be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny parent guide with a section title contains an inline emphasis span. Include one ordinary case, one boundary and one deliberate failure caused by crediting balance for hyphens created by another property. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Hyphenation is a separate control, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

Groups of lines separated by a forced line break are processed separately rather than balanced as one uninterrupted group. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is inserting br elements for one viewport and expecting fluid rebalancing everywhere. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Forced breaks divide balancing groups, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Forced breaks divide balancing groups chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on inserting br elements for one viewport and expecting fluid rebalancing everywhere. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

<h2 class="title">Learn the model<br>then test the boundary</h2>

Four purposeful transfer cases

Case 1: study-card heading. Explain the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: project banner. Transfer the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: revision dashboard. Predict the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: CCA poster. Contrast the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers inserting br elements for one viewport and expecting fluid rebalancing everywhere.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Forced breaks divide balancing groups, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Forced breaks divide balancing groups?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing inserting br elements for one viewport and expecting fluid rebalancing everywhere be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny science caption with a compact label competes with a fixed icon for line space. Include one ordinary case, one boundary and one deliberate failure caused by inserting br elements for one viewport and expecting fluid rebalancing everywhere. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Forced breaks divide balancing groups, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

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Inline icons, emphasis, badges and floats affect the remaining inline space that the algorithm considers. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is debugging the text alone while a badge changes every line box. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Inline content consumes space, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Inline content consumes space chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on debugging the text alone while a badge changes every line box. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap:balance; }
.title .badge { white-space:nowrap; }

Four purposeful transfer cases

Case 1: revision dashboard. Transfer the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: CCA poster. Predict the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: parent guide. Contrast the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: science caption. Stress-test the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers debugging the text alone while a badge changes every line box.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Inline content consumes space, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Inline content consumes space?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing debugging the text alone while a badge changes every line box be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny responsive laboratory with container widths reveal where balancing helps or disappears. Include one ordinary case, one boundary and one deliberate failure caused by debugging the text alone while a badge changes every line box. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Inline content consumes space, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

When better balance is possible, the specification says balancing should avoid changing the line count and must not change it for five or fewer lines compared with auto. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is assuming balance always reduces a three-line heading to two lines. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for The number of lines should usually stay stable, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the The number of lines should usually stay stable chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on assuming balance always reduces a three-line heading to two lines. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap:auto; }
.title.balanced { text-wrap:balance; }

Four purposeful transfer cases

Case 1: parent guide. Predict the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: science caption. Contrast the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: responsive laboratory. Stress-test the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: accessibility audit. Explain the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers assuming balance always reduces a three-line heading to two lines.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for The number of lines should usually stay stable, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from The number of lines should usually stay stable?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing assuming balance always reduces a three-line heading to two lines be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny accessibility audit with zoom, custom fonts and reflow test reading without forced breaks. Include one ordinary case, one boundary and one deliberate failure caused by assuming balance always reduces a three-line heading to two lines. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For The number of lines should usually stay stable, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

The specification defines the goal and constraints but leaves the precise balancing algorithm to the browser. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is requiring pixel-identical break choices in every engine and font environment. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for User agents define the exact algorithm, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the User agents define the exact algorithm chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on requiring pixel-identical break choices in every engine and font environment. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap:balance; }

Four purposeful transfer cases

Case 1: responsive laboratory. Contrast the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: accessibility audit. Stress-test the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: study-card heading. Explain the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: project banner. Transfer the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers requiring pixel-identical break choices in every engine and font environment.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for User agents define the exact algorithm, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from User agents define the exact algorithm?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing requiring pixel-identical break choices in every engine and font environment be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny study-card heading with a short title wraps across two lines on a narrow phone. Include one ordinary case, one boundary and one deliberate failure caused by requiring pixel-identical break choices in every engine and font environment. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For User agents define the exact algorithm, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

User agents may treat balance as auto when more than ten lines would need balancing, limiting expensive work and unsuitable use. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is applying balance to an essay and promising all paragraphs will be even. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Long blocks may fall back to auto, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Long blocks may fall back to auto chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on applying balance to an essay and promising all paragraphs will be even. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

article p { text-wrap:auto; }
article h2 { text-wrap:balance; }

Four purposeful transfer cases

Case 1: study-card heading. Stress-test the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: project banner. Explain the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: revision dashboard. Transfer the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: CCA poster. Predict the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers applying balance to an essay and promising all paragraphs will be even.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Long blocks may fall back to auto, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Long blocks may fall back to auto?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing applying balance to an essay and promising all paragraphs will be even be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny project banner with one announcement title adapts from laptop to mobile width. Include one ordinary case, one boundary and one deliberate failure caused by applying balance to an essay and promising all paragraphs will be even. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Long blocks may fall back to auto, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

Short multi-line headings and callouts gain the most from distributing ragged space without author-inserted line breaks. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is balancing every paragraph because the property sounds generally prettier. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Headings are the natural use case, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Headings are the natural use case chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on balancing every paragraph because the property sounds generally prettier. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

h1,h2,.callout-title { text-wrap:balance; }

Four purposeful transfer cases

Case 1: revision dashboard. Explain the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: CCA poster. Transfer the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: parent guide. Predict the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: science caption. Contrast the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers balancing every paragraph because the property sounds generally prettier.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Headings are the natural use case, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Headings are the natural use case?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing balancing every paragraph because the property sounds generally prettier be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny revision dashboard with card headings vary in length but keep readable rhythm. Include one ordinary case, one boundary and one deliberate failure caused by balancing every paragraph because the property sounds generally prettier. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Headings are the natural use case, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

A nowrap mode or preserved formatting can remove ordinary opportunities, leaving balance with nothing useful to redistribute. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is adding balance beside white-space:nowrap and expecting two lines. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for White-space can prevent visible wrapping, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the White-space can prevent visible wrapping chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on adding balance beside white-space:nowrap and expecting two lines. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { white-space:nowrap; text-wrap-style:balance; }

Four purposeful transfer cases

Case 1: parent guide. Transfer the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: science caption. Predict the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: responsive laboratory. Contrast the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: accessibility audit. Stress-test the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers adding balance beside white-space:nowrap and expecting two lines.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for White-space can prevent visible wrapping, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from White-space can prevent visible wrapping?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing adding balance beside white-space:nowrap and expecting two lines be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny CCA poster with a bilingual heading tests language and font coverage. Include one ordinary case, one boundary and one deliberate failure caused by adding balance beside white-space:nowrap and expecting two lines. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For White-space can prevent visible wrapping, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

Because text-wrap is a shorthand, a later text-wrap value resets omitted longhands to their initial values. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is setting balance and later writing text-wrap:wrap without noticing style returns to auto. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for The shorthand can reset a prior style, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the The shorthand can reset a prior style chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on setting balance and later writing text-wrap:wrap without noticing style returns to auto. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { text-wrap:balance; }
@media (wide) { .title { text-wrap:wrap; } }

Four purposeful transfer cases

Case 1: responsive laboratory. Predict the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: accessibility audit. Contrast the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: study-card heading. Stress-test the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: project banner. Explain the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers setting balance and later writing text-wrap:wrap without noticing style returns to auto.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for The shorthand can reset a prior style, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from The shorthand can reset a prior style?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing setting balance and later writing text-wrap:wrap without noticing style returns to auto be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny parent guide with a section title contains an inline emphasis span. Include one ordinary case, one boundary and one deliberate failure caused by setting balance and later writing text-wrap:wrap without noticing style returns to auto. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For The shorthand can reset a prior style, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

A component can enable balance only at widths where its heading forms a useful small number of lines. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is tying a reusable card to the viewport instead of its own available space. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Container queries can scope the decision, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Container queries can scope the decision chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on tying a reusable card to the viewport instead of its own available space. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

@container (max-width:28rem) { .card-title { text-wrap:balance; } }

Four purposeful transfer cases

Case 1: study-card heading. Contrast the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: project banner. Stress-test the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: revision dashboard. Explain the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: CCA poster. Transfer the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers tying a reusable card to the viewport instead of its own available space.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Container queries can scope the decision, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Container queries can scope the decision?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing tying a reusable card to the viewport instead of its own available space be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny science caption with a compact label competes with a fixed icon for line space. Include one ordinary case, one boundary and one deliberate failure caused by tying a reusable card to the viewport instead of its own available space. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Container queries can scope the decision, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

Previous chapter . Contents . Next chapter

An @supports rule can add balance only when the property-value pair is recognised, leaving ordinary wrapping as the base. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is making readable text depend on balance support. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Feature queries support progressive enhancement, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Feature queries support progressive enhancement chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on making readable text depend on balance support. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.title { overflow-wrap:anywhere; }
@supports (text-wrap:balance) { .title { text-wrap:balance; } }

Four purposeful transfer cases

Case 1: revision dashboard. Stress-test the rule using card headings vary in length but keep readable rhythm. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: CCA poster. Explain the rule using a bilingual heading tests language and font coverage. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: parent guide. Transfer the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: science caption. Predict the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers making readable text depend on balance support.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Feature queries support progressive enhancement, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Feature queries support progressive enhancement?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing making readable text depend on balance support be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny responsive laboratory with container widths reveal where balancing helps or disappears. Include one ordinary case, one boundary and one deliberate failure caused by making readable text depend on balance support. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Feature queries support progressive enhancement, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

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Resize, browser zoom, text scaling, language changes and delayed font loading expose layouts that a fixed desktop screenshot misses. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is approving one width and hiding overflow at accessibility zoom. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Tests must include zoom and late fonts, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Tests must include zoom and late fonts chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on approving one width and hiding overflow at accessibility zoom. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

document.fonts.ready.then(()=>document.body.classList.add('fonts-ready'));

Four purposeful transfer cases

Case 1: parent guide. Explain the rule using a section title contains an inline emphasis span. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: science caption. Transfer the rule using a compact label competes with a fixed icon for line space. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: responsive laboratory. Predict the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: accessibility audit. Contrast the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers approving one width and hiding overflow at accessibility zoom.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Tests must include zoom and late fonts, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Tests must include zoom and late fonts?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing approving one width and hiding overflow at accessibility zoom be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny accessibility audit with zoom, custom fonts and reflow test reading without forced breaks. Include one ordinary case, one boundary and one deliberate failure caused by approving one width and hiding overflow at accessibility zoom. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Tests must include zoom and late fonts, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

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Use balance to improve short responsive line composition, but keep semantic markup, natural source text and readable fallbacks independent of exact breaks. Treat that sentence as a testable model. A secure learner can point to the relevant input, name the operation, describe the resulting state and identify one observation that would prove the model incomplete.

The high-value mistake in this chapter is using CSS wrapping to encode meaning that requires punctuation or separate elements. It matters because the output may look reasonable while the ownership, ordering, identity or safety rule is wrong. State the contract for Choose balance for typography, not content control, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.

For the Choose balance for typography, not content control chapter on CSS text-wrap: balance, use a two-column trace during a short Punggol home session. On the left, write the predicted state for this exact mechanism before the tool runs. On the right, record the observation that bears on using CSS wrapping to encode meaning that requires punctuation or separate elements. Explain the earliest difference with one causal sentence, then repeat only the smallest changed case.

Core worked example

.lesson-heading { text-wrap:balance; }

Four purposeful transfer cases

Case 1: responsive laboratory. Transfer the rule using container widths reveal where balancing helps or disappears. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 2: accessibility audit. Predict the rule using zoom, custom fonts and reflow test reading without forced breaks. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 3: study-card heading. Contrast the rule using a short title wraps across two lines on a narrow phone. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Case 4: project banner. Stress-test the rule using one announcement title adapts from laptop to mobile width. State the input grain or object graph, the chapter boundary and the intended output before choosing syntax. Change only one variable, so a wrong prediction has a single plausible cause.

Diagnostic route

• Model check: ask the learner to draw or list the exact rows, fields, references, paths or states involved.
• Boundary check: create the smallest input that triggers using CSS wrapping to encode meaning that requires punctuation or separate elements.
• Evidence check: separate a printed value from identity, ordering, ownership, type or repository state.
• Repair check: use the reversible procedure “State the contract for Choose balance for typography, not content control, predict one ordinary case and one boundary, run the smallest disposable test, then explain the earliest difference between prediction and evidence.” and record the first changed observation.
• Transfer check: repeat the rule in a second context and identify what remains invariant.

A parent does not need to know the final CSS text-wrap: balance syntax. For this chapter, useful prompts are: “What did you expect from Choose balance for typography, not content control?”, “Which state changed first?”, “What evidence tests that prediction?”, and “Can the case exposing using CSS wrapping to encode meaning that requires punctuation or separate elements be made smaller?” The learner, not the parent, should supply the technical explanation.

Practice with an explained answer

Question. Build a tiny study-card heading with a short title wraps across two lines on a narrow phone. Include one ordinary case, one boundary and one deliberate failure caused by using CSS wrapping to encode meaning that requires punctuation or separate elements. Predict each result before using a tool, then report the first point where observation differs from prediction.

Decision and transfer

For Choose balance for typography, not content control, separate the documented CSS text-wrap: balance mechanism from the project policy. State exactly what the technical contract guarantees, then state the project choice about validation, ordering, ownership, performance or recovery. Test whether the same distinction survives one transfer case, and keep stateful experiments disposable and backed up.

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Start with evidence, not a label such as careless. Ask for one prediction and one trace. If the first transition is wrong, rebuild the model. If the model is sound but syntax fails, practise reference use. If routine cases are correct but boundaries fail, vary ties, defaults, unsupported inputs, ownership or missing paths. If explanations transfer, move to a small project.

Keep a weekly record with four lines: concept, prediction, observed difference and next test. Stop when fatigue replaces reasoning. A smaller case tomorrow is more useful than another hour of copying tonight.

Seek specialist help when cause and effect remain invisible after examples are reduced, when accessibility or data-loss implications are unclear, or when an important repository, database or application state may be at risk. Good support should make the learner’s reasoning more independent.

1. study-card heading: model, boundary and recovery

Create a small study-card heading using a short title wraps across two lines on a narrow phone. Combine “text-wrap is a shorthand” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

2. project banner: model, boundary and recovery

Create a small project banner using one announcement title adapts from laptop to mobile width. Combine “It cannot invent arbitrary word breaks” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

3. revision dashboard: model, boundary and recovery

Create a small revision dashboard using card headings vary in length but keep readable rhythm. Combine “Language affects break opportunities” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

4. CCA poster: model, boundary and recovery

Create a small CCA poster using a bilingual heading tests language and font coverage. Combine “Inline content consumes space” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

5. parent guide: model, boundary and recovery

Create a small parent guide using a section title contains an inline emphasis span. Combine “Long blocks may fall back to auto” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

6. science caption: model, boundary and recovery

Create a small science caption using a compact label competes with a fixed icon for line space. Combine “The shorthand can reset a prior style” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

7. responsive laboratory: model, boundary and recovery

Create a small responsive laboratory using container widths reveal where balancing helps or disappears. Combine “Tests must include zoom and late fonts” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

8. accessibility audit: model, boundary and recovery

Create a small accessibility audit using zoom, custom fonts and reflow test reading without forced breaks. Combine “The longhand is text-wrap-style” with one later chapter. Include an ordinary case, a boundary, a deliberate failure and a recovery. Write the expected state before each operation.

Frequently asked questions

How long should a practice session be?

Use one complete prediction–observation–explanation cycle while attention remains good. Ten to twenty focused minutes can be enough.

Should every option or function be memorised?

No. Memorise the governing distinctions and practise retrieving the official reference. Understanding means predicting and explaining, not reciting a parameter list.

What if the result is correct but the explanation is weak?

Treat it as partial success. Ask for a trace and change one boundary. A reliable model survives controlled variation.

Is the shortest solution the best?

Not automatically. Prefer the solution whose semantics, failure modes and maintenance cost are easiest to justify for the actual project.

When should official documentation be used?

Use it whenever syntax, supported types, SQL dialect behaviour or Git version details matter. Primary documentation settles the current contract.

How can a parent help without technical expertise?

Ask what was predicted, where the first difference appeared, what evidence matters and which smaller example could isolate it.

How do we test transfer?

Change the context, vocabulary and one boundary. Require the learner to identify the invariant before using a tool.

What should be saved after practice?

Keep the corrected rule, one trace, one boundary case and the next question. Avoid storing pages of unexplained output.

Can these exercises replace backups?

No. Use disposable examples and proper backups. Learning should not endanger schoolwork, repositories or personal data.

What counts as mastery?

The learner can predict, verify, diagnose, recover and justify a choice across more than one context, while knowing when to consult the current reference.

Official and supporting references

• Primary technical documentation for CSS text-wrap: balance
• eduKatePunggol: How Studying Works

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