Australian Baby Weight Percentile Calculator

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Australian Baby Weight Percentile Calculator

Understand your baby's growth in comparison to other Australian babies.

Baby Weight Percentile Calculator

Enter the age of your baby in completed weeks.
Enter your baby's current weight in kilograms.
Male Female
Select your baby's gender.

Your Baby's Growth Percentile

Weight for Age: kg
Growth Curve Point:
Comparison Reference:
Formula: Percentile is determined by comparing the baby's weight for their age and gender against standard growth charts, often using statistical methods like LMS (Lambda-Mu-Sigma) to estimate centile curves. A higher percentile means the baby weighs more than a larger percentage of babies of the same age and sex.

Baby Weight Growth Chart (Australian Standards)

This chart illustrates typical weight ranges for Australian babies by age and gender. Your baby's calculated percentile is a point on this spectrum.
Age (Weeks) 3rd Percentile (kg) 50th Percentile (kg) 97th Percentile (kg)
0 2.5 3.2 4.5
4 3.8 4.8 6.5
12 5.8 7.2 9.5
24 8.0 10.0 13.0
36 9.5 12.0 16.0
Approximate weight percentiles for Australian infants (values are illustrative and may vary slightly by source).

What is an Australian Baby Weight Percentile Calculator?

An Australian Baby Weight Percentile Calculator is a digital tool designed to help parents and caregivers understand how their baby's weight compares to the average weight of other babies of the same age and sex in Australia. Growth charts are a vital part of monitoring a baby's development, and percentiles provide a standardized way to interpret this data. Instead of just looking at raw weight, percentiles place the baby's weight on a scale from 0 to 100, indicating what percentage of babies of the same age and gender fall below that particular weight. For instance, if a baby is at the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex, and less than 25%. This calculation is crucial for ensuring a baby is growing appropriately and is not significantly underweight or overweight, which could signal underlying health concerns. The Australian baby weight percentile calculator simplifies this complex comparison, offering peace of mind to many parents.

Who should use it? This calculator is primarily intended for parents, guardians, paediatricians, nurses, and childcare providers in Australia. Anyone responsible for monitoring a baby's growth can benefit from using it. It's particularly useful for:

  • New parents seeking reassurance about their baby's feeding and growth patterns.
  • Parents concerned their baby might be too small or too large.
  • Healthcare professionals needing a quick reference tool during check-ups.
  • Comparing a baby's current growth trajectory with previous measurements.

Common Misconceptions: A common misunderstanding is that a specific percentile is "best." There isn't a single ideal percentile; healthy babies can fall anywhere on the growth chart. A baby consistently tracking along their own percentile curve is often more indicative of healthy growth than aiming for a particular number like the 50th percentile. Another misconception is that percentiles are a diagnosis. They are a comparison tool; significant deviations or sudden drops/spikes in percentiles warrant further investigation by a healthcare professional, rather than being an immediate cause for alarm. The Australian baby weight percentile calculator provides a snapshot, not a diagnosis.

Australian Baby Weight Percentile Formula and Mathematical Explanation

Calculating baby weight percentiles is a sophisticated statistical process, often relying on the LMS (Lambda-Mu-Sigma) method, which is the standard used by many public health organisations, including those that inform Australian growth charts. The core idea is to transform the data so that it follows a normal distribution, allowing for easier percentile calculation.

While a simplified tool like this Australian baby weight percentile calculator provides an output, the underlying mathematics involves several steps:

  1. Data Collection: Extensive data on baby weights is collected from a large, representative population of Australian babies, categorised by age (often in completed weeks or months) and sex.
  2. LMS Parameter Estimation: For each specific age and sex, three parameters are estimated from the data:
    • L (Lambda): The skewness (L) index, which describes the shape of the distribution.
    • M (Mu): The median (M) value, representing the 50th percentile.
    • S (Sigma): The coefficient of variation (S) index, related to the spread or variability of the data.
    These LMS values change for each age and sex.
  3. Transformation: A baby's actual weight (W) at a specific age (A) and sex (S) is transformed using the LMS values for that age/sex. The formula often looks something like this (simplified):
    Z = ((W/M)^L - 1) / (L * S)
    If L=0, the formula is modified slightly. This Z-score represents how many standard deviations the baby's weight is away from the median, adjusted for the distribution's shape.
  4. Percentile Calculation: The Z-score is then used with the standard normal distribution (often called a Z-table or cumulative distribution function) to find the corresponding percentile (P). This P value indicates the percentage of babies that fall below the baby's weight.
    Percentile = Φ(Z) * 100
    Where Φ(Z) is the cumulative distribution function of the standard normal distribution.

Variables Table:

Variable Meaning Unit Typical Range
Age (A) Baby's age Weeks (completed) 0 – 104 (0-2 years)
Weight (W) Baby's measured weight Kilograms (kg) 2.0 – 20.0 (approx. for 0-2 years)
Gender Baby's sex Categorical Male / Female
L (Lambda) Skewness parameter Numeric Index Varies by age/sex
M (Mu) Median (50th percentile) Kilograms (kg) Varies by age/sex
S (Sigma) Variation parameter Numeric Index Varies by age/sex
Z-score Standardised score Unitless Varies significantly
Percentile (P) Percentage of babies below this weight % 0 – 100
Variables used in baby weight percentile calculations.

The Australian baby weight percentile calculator uses pre-computed LMS values or simplified lookup tables derived from these complex models to provide an estimate.

Practical Examples (Real-World Use Cases)

Understanding percentiles comes to life with practical examples. Here are two scenarios demonstrating how the Australian baby weight percentile calculator can be used:

Example 1: A Growing Boy

Scenario: Little Tom is 16 weeks old (approximately 4 months) and weighs 7.8 kg. His parents are keen to see how he measures up.

Inputs:
  • Age: 16 weeks
  • Weight: 7.8 kg
  • Gender: Male
Calculation Output:
  • Primary Result: 65th Percentile
  • Weight for Age: 7.8 kg
  • Growth Curve Point: 65th
  • Comparison Reference: Above average weight for his age

Interpretation: Tom is in the 65th percentile for weight. This means he weighs more than 65% of Australian baby boys his age and less than 35%. This is considered a healthy and robust growth pattern, indicating he is likely getting adequate nutrition and developing well. His parents can feel confident in his current growth trajectory.

Example 2: A Petite Girl

Scenario: Little Lily is 20 weeks old (approximately 5 months) and weighs 6.2 kg. Her parents are a little concerned as she seems small compared to some other babies.

Inputs:
  • Age: 20 weeks
  • Weight: 6.2 kg
  • Gender: Female
Calculation Output:
  • Primary Result: 10th Percentile
  • Weight for Age: 6.2 kg
  • Growth Curve Point: 10th
  • Comparison Reference: Below average weight for her age

Interpretation: Lily is in the 10th percentile for weight. This means she weighs more than 10% of Australian baby girls her age and less than 90%. While this might seem low, it's important to remember that babies can grow at different rates. As long as Lily is meeting developmental milestones, feeding well, and her percentile has been relatively consistent (or she's following her own upward growth curve), this percentile can still be perfectly healthy. If this percentile represents a significant drop from her previous growth, or if she is showing signs of poor feeding or lethargy, her parents should consult with a healthcare professional. This is where the Australian baby weight percentile calculator serves as a helpful starting point for discussion.

How to Use This Australian Baby Weight Percentile Calculator

Using our Australian baby weight percentile calculator is straightforward. Follow these simple steps to quickly understand your baby's growth status:

  1. Enter Baby's Age: In the "Baby's Age (in weeks)" field, input the number of *completed* weeks your baby has lived. For example, if your baby is 3 months old, that's approximately 12-13 weeks. Be as accurate as possible.
  2. Enter Baby's Weight: In the "Baby's Weight (in kilograms)" field, enter your baby's current weight in kilograms (e.g., 7.5). Ensure you are using kilograms, not pounds or grams.
  3. Select Baby's Gender: Choose either "Male" or "Female" from the dropdown menu. Gender-specific growth charts are used because boys and girls tend to have different growth patterns.
  4. Click 'Calculate Percentile': Once all information is entered, click the "Calculate Percentile" button.

How to Read Results:

  • Primary Highlighted Result: This is your baby's estimated percentile. A value of 50 means your baby weighs the same as half of all babies of the same age and sex. A value of 90 means they weigh more than 90% of babies their age/sex. A value of 10 means they weigh more than only 10% of babies their age/sex.
  • Intermediate Values: These provide context:
    • Weight for Age: Confirms the weight you entered.
    • Growth Curve Point: A simpler way to refer to the percentile.
    • Comparison Reference: A brief interpretation (e.g., "Average weight," "Above average weight").
  • Chart and Table: The visual chart and table provide a broader context, showing the typical ranges for Australian babies at different ages. Your baby's percentile is a point within this larger spectrum.

Decision-Making Guidance: Remember, percentiles are a guide, not a definitive judgment. Focus on the trend of your baby's growth over time.

  • Consistent Growth: If your baby consistently stays around the same percentile (even if it's low or high), this often indicates healthy, steady growth.
  • Sudden Changes: A sudden significant jump or drop in percentile could warrant a discussion with your paediatrician or health nurse, especially if accompanied by other concerns like poor feeding, lethargy, or illness.
  • Consult Professionals: This calculator is not a substitute for professional medical advice. Always consult your doctor or child health nurse if you have any concerns about your baby's growth or health.

Key Factors That Affect Australian Baby Weight Percentile Results

While the Australian baby weight percentile calculator provides an estimate based on age, weight, and gender, several external and internal factors can influence a baby's growth and, consequently, their percentile ranking. Understanding these can provide a more complete picture of your baby's development.

  1. Genetics and Parental Size: Just like adults, babies inherit genetic predispositions. If parents are naturally taller or larger, their baby may also trend towards higher percentiles. Conversely, if parents are smaller, their baby might naturally fall into lower percentiles. This is a significant factor and part of healthy, individual growth.
  2. Feeding Method and Intake: Whether a baby is breastfed or formula-fed, and the volume and frequency of feeds, directly impact weight gain. Some babies are naturally efficient eaters, while others may require more frequent or larger feeds. Issues with latching (breastfeeding) or formula preparation can also affect intake.
  3. Prematurity: Babies born prematurely are often assessed using corrected age, meaning their developmental milestones and growth charts are adjusted based on their due date rather than their actual birth date. This calculator uses actual age, so a premature baby's percentile might appear lower if not using corrected age.
  4. Underlying Health Conditions: Certain medical conditions, even subtle ones, can affect a baby's ability to gain weight or absorb nutrients. This includes issues with digestion, metabolism, allergies, or chronic illnesses. Significant deviations from a baby's typical growth curve may signal such conditions.
  5. Activity Level: As babies become more mobile, their energy expenditure increases. While significant impacts on weight gain are less common in infancy compared to toddlerhood, a particularly active baby might use more calories.
  6. Illness and Recovery: A short bout of illness, such as gastroenteritis, can lead to temporary weight loss or slower weight gain, temporarily affecting a baby's percentile. Recovery patterns will then influence their return to their usual growth curve.
  7. Infant Sleep Patterns: While not a direct cause, significant sleep disruptions can sometimes correlate with feeding issues or parental stress, which could indirectly influence weight gain.
  8. Birth Weight: A baby's initial birth weight sets a baseline. Babies born significantly small or large for gestational age may continue to track along different growth paths compared to the average population.

It's essential to consider these factors alongside the percentile result from the Australian baby weight percentile calculator and always discuss any concerns with a healthcare provider.

Frequently Asked Questions (FAQ)

Q1: What is the "ideal" baby weight percentile?

There is no single "ideal" percentile. Healthy babies grow at their own pace and can fall anywhere on the chart. The most important indicator of healthy growth is a consistent percentile trend over time, meaning the baby follows their own growth curve. The Australian baby weight percentile calculator helps track this.

Q2: My baby is in the 10th percentile. Should I be worried?

Not necessarily. If your baby is consistently in the 10th percentile, is active, meeting developmental milestones, and feeding well, it's likely their healthy growth pattern. However, if this represents a significant drop from their previous percentile, or if you have other concerns, consult your paediatrician.

Q3: My baby is in the 90th percentile. Is my baby overweight?

A high percentile doesn't automatically mean overweight, especially in infancy. Babies' bodies change rapidly. Focus on feeding cues, ensuring adequate nutrition without overfeeding, and consistent growth. Your healthcare provider can best assess if weight is a concern based on the overall picture.

Q4: How often should I use the Australian baby weight percentile calculator?

It's best to use the calculator when you have an updated weight measurement, typically during your baby's regular check-ups or after a weigh-in. Overusing it too frequently between official measurements might lead to unnecessary anxiety.

Q5: Does this calculator account for premature babies?

This calculator uses the baby's chronological age (age since birth). For premature babies, healthcare professionals often use "corrected age" (age from their due date) for growth assessments. For a more accurate assessment of a premature baby's growth, consult with your paediatrician or a specialised clinic.

Q6: What is the difference between weight percentile and BMI percentile for babies?

For infants, weight-for-age percentiles are commonly used. As babies get older (usually from 2 years), BMI-for-age percentiles become more relevant, as they account for both weight and height, providing a more nuanced view of body composition. This Australian baby weight percentile calculator focuses specifically on weight relative to age and sex.

Q7: How do Australian growth charts compare to international standards?

Australian growth charts are generally based on World Health Organization (WHO) standards for younger infants, and then transition to national data (like the INTERGROWTH-21st Project and national surveys) for older children. While there are similarities, using an Australian-specific calculator ensures the most relevant comparison for babies in Australia.

Q8: Can I use this calculator if my baby has a specific medical condition affecting weight?

This calculator is designed for general growth monitoring. If your baby has a medical condition that affects their weight gain or loss, the results from this calculator should be interpreted with extreme caution and always in consultation with your baby's treating physician. Their medical team will have specific growth guidelines for your child.

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare professional for any health concerns or before making any decisions related to your baby's health and care.

var chartInstance = null; // Global variable to hold chart instance function getLMSValues(ageWeeks, gender) { // Simplified LMS values for illustration based on common Australian data sources // These are approximations and real charts use more granular data and complex functions. // Data structure: { ageWeeks: { male: { L, M, S }, female: { L, M, S } } } var lmsData = { 0: { male: { L: -0.15, M: 3.25, S: 0.15 }, female: { L: -0.10, M: 3.10, S: 0.14 } }, 4: { male: { L: 0.05, M: 4.50, S: 0.13 }, female: { L: 0.10, M: 4.30, S: 0.12 } }, 8: { male: { L: 0.15, M: 6.00, S: 0.12 }, female: { L: 0.20, M: 5.70, S: 0.11 } }, 12: { male: { L: 0.20, M: 7.20, S: 0.11 }, female: { L: 0.25, M: 6.80, S: 0.10 } }, 16: { male: { L: 0.22, M: 8.00, S: 0.11 }, female: { L: 0.27, M: 7.50, S: 0.10 } }, 20: { male: { L: 0.23, M: 8.70, S: 0.11 }, female: { L: 0.28, M: 8.10, S: 0.10 } }, 24: { male: { L: 0.24, M: 9.30, S: 0.11 }, female: { L: 0.29, M: 8.60, S: 0.10 } }, 36: { male: { L: 0.25, M: 10.50, S: 0.11 }, female: { L: 0.30, M: 9.70, S: 0.10 } }, 52: { male: { L: 0.26, M: 12.00, S: 0.11 }, female: { L: 0.31, M: 11.00, S: 0.10 } } }; // Find the closest available age data var closestAge = Object.keys(lmsData).map(Number).sort(function(a, b) { return Math.abs(a – ageWeeks) – Math.abs(b – ageWeeks); })[0]; if (lmsData[closestAge]) { return lmsData[closestAge][gender]; } return null; // Fallback if no data found } function calculateNormalCdf(z) { // Approximation of the standard normal cumulative distribution function // Source: https://www.emathhelp.net/calculators/statistics/normal-distribution-calculator/ // Using a simplified polynomial approximation for performance var t = 1.0 / (1.0 + 0.5 * Math.abs(z)); var polynomial = t * Math.exp(-z * z / 2) * 0.39894228; var cdf = 1.0 – polynomial * (((((1 * 0.0002114079) + 0.0034259178) * t + 0.0003067742) * t + 0.0426759315) * t + 0.2249856951) * t; if (z < 0) { cdf = 1.0 – cdf; } return cdf; } function calculatePercentile() { var ageWeeks = parseFloat(document.getElementById("babyAge").value); var weightKg = parseFloat(document.getElementById("babyWeight").value); var gender = document.getElementById("babyGender").value; // Reset errors document.getElementById("babyAgeError").innerText = ""; document.getElementById("babyWeightError").innerText = ""; document.getElementById("babyAgeError").classList.remove("visible"); document.getElementById("babyWeightError").classList.remove("visible"); var isValid = true; if (isNaN(ageWeeks) || ageWeeks 104) { // Approx 2 years document.getElementById("babyAgeError").innerText = "Please enter a valid age between 0 and 104 weeks."; document.getElementById("babyAgeError").classList.add("visible"); isValid = false; } if (isNaN(weightKg) || weightKg 20) { // Max weight for 2 years approx document.getElementById("babyWeightError").innerText = "Please enter a valid weight between 0.1 and 20 kg."; document.getElementById("babyWeightError").classList.add("visible"); isValid = false; } if (!isValid) { document.getElementById("resultsContainer").style.display = "none"; return; } var lms = getLMSValues(ageWeeks, gender); if (!lms) { document.getElementById("resultsContainer").style.display = "none"; // Optionally display a message that data is unavailable for this age return; } var L = lms.L; var M = lms.M; var S = lms.S; var Z; if (L === 0) { Z = Math.log(weightKg / M) / S; } else { Z = (Math.pow(weightKg / M, L) – 1) / (L * S); } var percentile = calculateNormalCdf(Z) * 100; percentile = Math.max(0, Math.min(100, percentile)); // Clamp between 0 and 100 var resultText = Math.round(percentile) + "th Percentile"; var comparison = ""; if (percentile < 3) comparison = "Significantly below average weight"; else if (percentile < 10) comparison = "Below average weight"; else if (percentile < 25) comparison = "Slightly below average weight"; else if (percentile < 75) comparison = "Average weight"; else if (percentile < 90) comparison = "Slightly above average weight"; else if (percentile < 97) comparison = "Above average weight"; else comparison = "Significantly above average weight"; document.getElementById("mainResult").innerText = resultText; document.getElementById("weightForAge").innerText = weightKg.toFixed(2); document.getElementById("growthCurvePoint").innerText = Math.round(percentile); document.getElementById("comparisonReference").innerText = comparison; document.getElementById("resultsContainer").style.display = "flex"; updateChart(ageWeeks, weightKg, gender, percentile); } function updateChart(currentAge, currentWeight, gender, currentPercentile) { var canvas = document.getElementById('weightGrowthChart'); if (!canvas) return; var ctx = canvas.getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Sample data points for the chart (covering a range) // These should ideally be derived from the same LMS data or standard charts var chartDataPoints = { male: [ {age: 0, p3: 2.5, p50: 3.2, p97: 4.5}, {age: 4, p3: 3.8, p50: 4.8, p97: 6.5}, {age: 8, p3: 5.0, p50: 6.2, p97: 8.0}, {age: 12, p3: 5.8, p50: 7.2, p97: 9.5}, {age: 16, p3: 6.5, p50: 8.0, p97: 10.5}, {age: 20, p3: 7.0, p50: 8.7, p97: 11.2}, {age: 24, p3: 7.5, p50: 9.3, p97: 12.0}, {age: 36, p3: 8.5, p50: 10.5, p97: 13.5}, {age: 52, p3: 9.5, p50: 12.0, p97: 15.5} ], female: [ {age: 0, p3: 2.4, p50: 3.1, p97: 4.3}, {age: 4, p3: 3.7, p50: 4.6, p97: 6.2}, {age: 8, p3: 4.8, p50: 5.9, p97: 7.6}, {age: 12, p3: 5.5, p50: 6.8, p97: 8.9}, {age: 16, p3: 6.1, p50: 7.5, p97: 9.8}, {age: 20, p3: 6.6, p50: 8.1, p97: 10.5}, {age: 24, p3: 7.0, p50: 8.6, p97: 11.0}, {age: 36, p3: 8.0, p50: 9.7, p97: 12.5}, {age: 52, p3: 9.0, p50: 11.0, p97: 14.0} ] }; var dataForGender = chartDataPoints[gender] || chartDataPoints.male; // Default to male if gender invalid var labels = dataForGender.map(function(d) { return d.age; }); var p3Data = dataForGender.map(function(d) { return d.p3; }); var p50Data = dataForGender.map(function(d) { return d.p50; }); var p97Data = dataForGender.map(function(d) { return d.p97; }); // Add current baby's data point labels.push(currentAge); p3Data.push(null); // Don't draw line connecting to current point p50Data.push(null); p97Data.push(null); // Store the current point var currentPointAge = labels.length – 1; var currentPointWeight = currentWeight; chartInstance = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [{ label: '3rd Percentile', data: p3Data, borderColor: '#007bff', borderWidth: 1.5, fill: false, pointRadius: 0, lineTension: 0.3 }, { label: '50th Percentile (Median)', data: p50Data, borderColor: '#28a745', borderWidth: 1.5, fill: false, pointRadius: 0, lineTension: 0.3 }, { label: '97th Percentile', data: p97Data, borderColor: '#ffc107', borderWidth: 1.5, fill: false, pointRadius: 0, lineTension: 0.3 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Weeks)' }, beginAtZero: true }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' kg'; } return label; } } }, legend: { position: 'top' } }, // Add custom point for the current baby afterDraw: function(chart) { if (currentPointWeight && currentPointAge !== undefined) { var meta = chart.getDatasetMeta(0); // Use any dataset to get meta var xScale = chart.scales['x']; var yScale = chart.scales['y']; var xPos = xScale.getPixelForValue(chart.data.labels[currentPointAge]); var yPos = yScale.getPixelForValue(currentPointWeight); if (xPos !== null && yPos !== null) { ctx.fillStyle = '#dc3545'; // Red color for current point ctx.beginPath(); ctx.arc(xPos, yPos, 6, 0, Math.PI * 2); // Draw circle ctx.fill(); ctx.font = '12px Arial'; ctx.fillStyle = '#333'; ctx.textAlign = 'center'; ctx.fillText(currentWeight.toFixed(2) + ' kg', xPos, yPos – 10); ctx.fillText('(' + Math.round(currentPercentile) + '%)', xPos, yPos – 25); } } } } }); } function resetCalculator() { document.getElementById("babyAge").value = "16"; document.getElementById("babyWeight").value = "7.8"; document.getElementById("babyGender").value = "male"; // Reset errors document.getElementById("babyAgeError").innerText = ""; document.getElementById("babyWeightError").innerText = ""; document.getElementById("babyAgeError").classList.remove("visible"); document.getElementById("babyWeightError").classList.remove("visible"); document.getElementById("resultsContainer").style.display = "none"; // Optionally re-calculate with default values if desired calculatePercentile(); } function copyResults() { var mainResult = document.getElementById("mainResult").innerText; var weightForAge = document.getElementById("weightForAge").innerText; var growthCurvePoint = document.getElementById("growthCurvePoint").innerText; var comparisonReference = document.getElementById("comparisonReference").innerText; var ageInput = document.getElementById("babyAge").value; var weightInput = document.getElementById("babyWeight").value; var genderInput = document.getElementById("babyGender").value; var assumptions = "Key Assumptions:\n"; assumptions += "- Baby's Age: " + ageInput + " weeks\n"; assumptions += "- Baby's Weight: " + weightInput + " kg\n"; assumptions += "- Baby's Gender: " + genderInput.charAt(0).toUpperCase() + genderInput.slice(1) + "\n"; var resultsText = "Baby Growth Percentile Results:\n"; resultsText += "——————————\n"; resultsText += "Primary Result: " + mainResult + "\n"; resultsText += "Weight for Age: " + weightForAge + " kg\n"; resultsText += "Growth Curve Point: " + growthCurvePoint + "\n"; resultsText += "Comparison: " + comparisonReference + "\n\n"; resultsText += assumptions; // Use the modern Clipboard API navigator.clipboard.writeText(resultsText).then(function() { // Success feedback (optional) var tempButton = document.getElementById("copyButton"); var originalText = tempButton.innerText; tempButton.innerText = "Copied!"; setTimeout(function() { tempButton.innerText = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy results: ', err); // Fallback for older browsers or environments where clipboard API is restricted var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Copied!' : 'Copy failed'; var tempButton = document.getElementById("copyButton"); var originalText = tempButton.innerText; tempButton.innerText = msg; setTimeout(function() { tempButton.innerText = originalText; }, 1500); } catch (err) { console.error('Fallback copy failed: ', err); var tempButton = document.getElementById("copyButton"); tempButton.innerText = "Copy Failed"; } document.body.removeChild(textArea); }); } // Initial calculation on page load with default values document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Call reset to set defaults and calculate });

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