Concept 2 Online Weight Adjustment Calculator

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Concept 2 Online Weight Adjustment Calculator

Optimize your rowing performance by adjusting for weight differences.

Concept 2 Weight Adjustment Calculator

Enter your current body weight in kilograms.
Enter the weight you want to adjust to (e.g., a standard reference weight).
Enter your steady-state rowing power output in Watts.
Enter the distance rowed in meters.

Adjustment Results

— Watts
Adjusted Power Output
Estimated Time to Reach Adjusted Power
— kg
Weight Difference
— %
Percentage Power Change

Formula Explanation: This calculator estimates how your power output might change if you were at a different body weight, assuming a common physiological relationship where power output scales roughly with body mass to the power of 0.75. It also estimates time adjustment based on typical pacing.

Calculation Details

Metric Value Unit
Your Weight kg
Target Weight kg
Power Output Watts
Rowing Distance meters
Weight Difference kg
Adjusted Power Output (Calculated) Watts
Percentage Power Change %
Estimated Time (at target weight pace) seconds
Detailed breakdown of the weight adjustment calculation.

Performance Trend

Comparison of current power output vs. adjusted power output across different theoretical body weights.

What is the Concept 2 Online Weight Adjustment Calculator?

The Concept 2 Online Weight Adjustment Calculator is a specialized tool designed for rowers, particularly those using Concept 2 rowing machines, to estimate how their performance might change if their body weight were different. Rowing performance is influenced by many factors, including physiological capacity, technique, and crucially, body weight. This calculator helps to normalize performance data by accounting for variations in body mass, allowing for fairer comparisons, performance tracking, and setting realistic goals. It's invaluable for athletes looking to understand their true potential independent of short-term weight fluctuations. This type of {primary_keyword} is essential for serious athletes.

Who Should Use It:

  • Rowers who are trying to lose or gain weight and want to see the projected impact on their power output.
  • Athletes training for weight-class specific rowing competitions.
  • Coaches who need to standardize performance metrics for their athletes.
  • Anyone curious about the physiological relationship between body mass and rowing power.
  • Users who engage with online rowing communities and want to compare their efforts fairly using {primary_keyword}.

Common Misconceptions:

  • Misconception: Weight directly equates to power. Reality: While there's a strong correlation, power is also heavily influenced by cardiovascular fitness, muscle strength, and technique. This calculator provides an *estimate*.
  • Misconception: Losing weight instantly means faster times. Reality: The body needs time to adapt. Significant weight loss can sometimes temporarily impact energy levels. The calculator estimates the *potential* performance at a different weight.
  • Misconception: The calculator accounts for all performance factors. Reality: It primarily focuses on the weight-power relationship. Factors like fatigue, hydration, nutrition, and environmental conditions are not included.

Concept 2 Weight Adjustment Formula and Mathematical Explanation

The core of the Concept 2 Weight Adjustment Calculator relies on estimating the relationship between body mass and power output. A commonly accepted physiological principle suggests that metabolic rate and thus, power output, scales with body mass raised to a power between 0.67 and 0.80. For simplicity and broad applicability in rowing, a value of approximately 0.75 (or 3/4) is often used. This represents a compromise reflecting how different body segments contribute to overall power generation.

The primary formula to estimate adjusted power is:

Adjusted Power = Original Power × (Target Weight / User Weight)0.75

Let's break down the components:

  • Original Power (Watts): This is the user's actual measured power output during their rowing session.
  • User Weight (kg): The current body weight of the rower in kilograms.
  • Target Weight (kg): The hypothetical body weight the rower wishes to adjust to, used for comparison or goal setting.
  • Exponent (0.75): This empirically derived exponent reflects the scaling relationship between body mass and power output. It acknowledges that not all body mass contributes equally to power generation.

Intermediate Calculations:

  • Weight Difference (kg): Target Weight – User Weight. This shows the absolute change in kilograms.
  • Percentage Change (%): [(Adjusted Power – Original Power) / Original Power] × 100. This quantifies the relative performance change.
  • Estimated Time to Adjusted Power (seconds): This is a simplified projection. It assumes that achieving the target power level would lead to a certain pace over the given distance. A rough estimate can be derived by calculating the time at the original power and then scaling it based on the power difference, or by assuming a target pace for the distance. A simpler approach used here is to relate the power ratio to a time ratio, acknowledging that higher power generally means lower time for a fixed distance. For instance, if power increases by 10%, time might decrease by roughly 9% (using the relationship Time ∝ 1/Power(1/exponent) if force is constant, or a simpler inverse relationship if assuming pace directly scales with power). A practical approximation: Estimated Time = (Original Distance / (Adjusted Power0.5)) / (Original Distance / (Original Power0.5)) * Original Time (if we assume pace is proportional to sqrt(power)) or a more direct estimation based on pace conversion might be needed if detailed pace data is available. For this calculator, we'll estimate based on a common relationship of pace inversely proportional to the square root of power for a fixed distance, meaning Time = Distance / Speed, and Speed is proportional to Power0.5. Thus Time ∝ 1/Power0.5. So, Estimated Time = Original Time * (Original Power / Adjusted Power)0.5. Original Time = 60 * Distance / (Watts * Stroke Rate * Paddle Length Factor approximation). A simpler approximation is often used: If power increases by X%, time might decrease by slightly less than X%. We will use a common approximation where Time improvement is roughly 0.5x the power percentage improvement. Let's calculate original pace and then apply the power ratio to estimate new pace.
    Note: The 'Estimated Time to Reach Adjusted Power' is a simplified projection. Actual time depends on many factors including fatigue, pacing strategy, and technique.

Variables Table

Variable Meaning Unit Typical Range
User Weight Rower's current body mass kg 30 – 200+
Target Weight Hypothetical body mass for comparison kg 30 – 200+
Power Output Average power generated during rowing Watts 50 – 500+
Rowing Distance Distance covered in meters meters 100 – 1000000+
Weight Difference Absolute difference between target and user weight kg -100 to 100+
Adjusted Power Estimated power at target weight Watts Dynamic
Percentage Change Relative change in power % Dynamic
Estimated Time Approximate time to achieve adjusted power seconds Dynamic
Key variables used in the Concept 2 weight adjustment calculation.

Practical Examples (Real-World Use Cases)

Example 1: Weight Loss Goal

Scenario: Sarah weighs 80kg and consistently rows at a power output of 200 Watts for a 500-meter sprint. She aims to reach 70kg and wants to estimate her potential power output at that target weight.

Inputs:

  • Your Weight: 80 kg
  • Target Weight: 70 kg
  • Power Output: 200 Watts
  • Rowing Distance: 500 meters

Calculation Steps:

  • Weight Difference = 70 kg – 80 kg = -10 kg
  • Power Scaling Factor = (70 / 80)0.75 ≈ 0.844
  • Adjusted Power = 200 Watts × 0.844 ≈ 168.8 Watts
  • Percentage Change = [(168.8 – 200) / 200] × 100% ≈ -15.6%
  • Original Pace (approx, assuming stroke rate constant) relates to Power0.5. Time is inversely related. Original Time ≈ 500m / (200W0.5 * k) where k is a constant. Let's simplify the time estimation: If power decreases by 15.6%, time for the same distance might increase by roughly 15.6% * (1 / 0.5) = ~31.2% or more practically, a bit less. A more refined approach using pace scaling: Assume original pace is P_orig. Speed ~ P_orig^0.5. Time_orig = Dist / Speed_orig. New Speed ~ (New Power)^0.5 = (168.8W)^0.5. New Time = Dist / New Speed. This requires knowing the constant k or original time. For simplicity, we'll use an approximation: If power drops by 15.6%, time might increase by ~8-10%. Let's estimate an original 500m time at 200W might be around 2:00 (120 seconds). New time ~ 120 * (200 / 168.8)^0.5 ≈ 120 * 1.085 ≈ 130.2 seconds.

Results:

  • Weight Difference: -10 kg
  • Adjusted Power Output: Approximately 169 Watts
  • Percentage Power Change: -15.6%
  • Estimated Time at Target Weight Pace: Around 130 seconds (2:10) for 500m.

Interpretation: Sarah can expect her power output to decrease significantly if she reaches her goal weight of 70kg, assuming her physiological capacity scales as predicted. This insight helps her set realistic performance goals and understand that maintaining speed might require adjusting her training focus.

Example 2: Fair Comparison Between Athletes

Scenario: Athlete A weighs 90kg and logs a 2000m time trial producing 250 Watts average power. Athlete B weighs 75kg and also logs a 2000m time trial producing 250 Watts average power. They want to compare their efforts assuming a standard weight of 85kg.

Inputs for Athlete A (Adjusting to 85kg):

  • Your Weight: 90 kg
  • Target Weight: 85 kg
  • Power Output: 250 Watts
  • Rowing Distance: 2000 meters

Inputs for Athlete B (Adjusting to 85kg):

  • Your Weight: 75 kg
  • Target Weight: 85 kg
  • Power Output: 250 Watts
  • Rowing Distance: 2000 meters

Calculations:

  • Athlete A:
    • Weight Difference = 85 kg – 90 kg = -5 kg
    • Power Scaling Factor = (85 / 90)0.75 ≈ 0.963
    • Adjusted Power = 250 Watts × 0.963 ≈ 240.8 Watts
    • Percentage Change = [(240.8 – 250) / 250] × 100% ≈ -3.7%
  • Athlete B:
    • Weight Difference = 85 kg – 75 kg = 10 kg
    • Power Scaling Factor = (85 / 75)0.75 ≈ 1.142
    • Adjusted Power = 250 Watts × 1.142 ≈ 285.5 Watts
    • Percentage Change = [(285.5 – 250) / 250] × 100% ≈ 14.2%

Results:

  • Athlete A (at 85kg): Adjusted Power ≈ 241 Watts
  • Athlete B (at 85kg): Adjusted Power ≈ 286 Watts

Interpretation: Even though both athletes produced 250 Watts, Athlete B, being lighter, would need to generate significantly more power (approx. 286W) to achieve the same theoretical performance level as Athlete A at a standard 85kg weight. This highlights that Athlete B has a higher physiological capacity for power generation relative to their current body mass. This {primary_keyword} helps normalize their outputs for comparison.

How to Use This Concept 2 Weight Adjustment Calculator

Using the Concept 2 Online Weight Adjustment Calculator is straightforward. Follow these steps to get your personalized results:

  1. Step 1: Enter Your Weight: Input your current body weight in kilograms (kg) into the "Your Weight (kg)" field.
  2. Step 2: Set Target Weight: Enter the body weight (in kg) you wish to compare against or aim for in the "Target Weight for Adjustment (kg)" field. This could be a goal weight, a standard reference weight, or an average weight for a competition class.
  3. Step 3: Input Power Output: Record the average power output (in Watts) you achieved during your rowing session. This is typically available on your Concept 2 monitor after completing a workout.
  4. Step 4: Specify Distance: Enter the distance you rowed in meters (m). This helps in estimating the time adjustment.
  5. Step 5: Calculate: Click the "Calculate Adjustment" button.

How to Read Results:

  • Adjusted Power Output: This is the primary result, showing the estimated power you would likely produce if you weighed the "Target Weight".
  • Estimated Time to Reach Adjusted Power: This provides a rough idea of how much faster or slower you might be over the specified distance if you achieved this adjusted power level.
  • Weight Difference: The absolute change in kilograms between your current and target weight.
  • Percentage Power Change: The relative increase or decrease in power output based on the weight adjustment.

Decision-Making Guidance: Use these results to inform your training and nutrition strategies. If the adjusted power is significantly lower, you know that weight loss will impact your performance, and you may need to focus on maintaining fitness during your diet. If the adjusted power is higher, it validates your weight gain strategy for power development. Compare your adjusted power outputs with peers or historical data to gauge progress.

Key Factors That Affect Concept 2 Weight Adjustment Results

While the weight adjustment formula provides a valuable estimate, several other factors significantly influence actual rowing performance:

  1. Body Composition: The calculator assumes a general scaling of power with mass. However, it's the *lean muscle mass* that generates power, not fat. Two individuals with the same weight can have vastly different power outputs based on their muscle-to-fat ratio. Significant changes in body composition (losing fat while gaining muscle) won't be perfectly captured by a simple weight adjustment.
  2. Cardiovascular Fitness: The ability of the heart and lungs to deliver oxygen is paramount. An athlete might weigh less but have superior endurance capacity, allowing them to sustain higher power outputs for longer durations than someone heavier but less fit. Training directly impacts VO2 max and lactate threshold.
  3. Muscle Strength and Endurance: Beyond cardiovascular fitness, the raw strength and muscular endurance of the legs, core, and upper body are critical. Training regimens focusing on strength and power development directly enhance rowing output.
  4. Technique Efficiency: Proper rowing technique maximizes power transfer from the body to the machine and minimizes wasted energy. Even with great physical capacity, poor technique can limit achievable power. Learning and refining the catch, drive, finish, and recovery phases is crucial. Consider resources on Concept 2 rowing technique.
  5. Pacing Strategy and Mental Toughness: For longer distances, how an athlete paces themselves and their mental fortitude plays a huge role. Someone might have the physiological capacity for higher power but choose to conserve energy, or conversely, push beyond their perceived limits due to mental grit. This calculator estimates potential, not necessarily executed performance.
  6. External Factors (Fatigue, Nutrition, Hydration): Acute factors like sleep quality, pre-workout nutrition, hydration levels, and overall fatigue can dramatically affect performance on any given day. The calculator assumes optimal or consistent conditions.
  7. Type of Adjustment: Is the weight change due to muscle gain or loss, or fat loss/gain? Muscle is denser and contributes more to power. Rapid weight changes can also lead to temporary dips in performance.
  8. Environmental Conditions: While less of a factor indoors, room temperature and humidity can subtly influence comfort and performance.

Frequently Asked Questions (FAQ)

Q1: How accurate is the Concept 2 weight adjustment calculator?

A: The calculator provides a good estimate based on established physiological principles (power scaling with mass to the 0.75 exponent). However, individual responses vary. It's a useful tool for understanding trends and making comparisons, but actual performance depends on many other factors like fitness, technique, and day-to-day variability.

Q2: Should I prioritize weight loss or power training?

A: This depends on your goals. If your goal is to improve your time over a specific distance, increasing power output is key. If you are carrying excess body fat that hinders performance or impacts health, strategic weight loss can help. Often, a combination is best: focused training to build power while managing body composition through nutrition. Use this Concept 2 performance calculator to see how different power outputs affect your times.

Q3: Does the calculator work for weight gain?

A: Yes, the formula works symmetrically. If you are gaining weight (e.g., muscle mass), the calculator will estimate an increase in potential power output. Remember that lean muscle mass is what contributes most significantly to power.

Q4: What does the 'Estimated Time' result mean?

A: It's a projected time for the specified distance if you were performing at the 'Adjusted Power Output'. It assumes a consistent relationship between power and speed. This is a theoretical value and doesn't account for pacing strategy or fatigue during a real race.

Q5: Can I use this calculator for comparing different rowing machines?

A: While the physiological principles apply broadly, the 'Power Output' reading can vary slightly between different models or brands of rowing machines. This calculator is specifically calibrated for Concept 2 monitors and their power readings.

Q6: What if my weight fluctuates daily?

A: For consistent tracking, use an average weight over a week or your typical competition weight. Avoid using drastically fluctuating daily weights unless you are specifically tracking the immediate impact of dehydration or a large meal.

Q7: Is the 0.75 exponent always accurate?

A: The 0.75 exponent is a widely used approximation derived from studies on metabolic scaling. Some research suggests values ranging from 0.67 to 0.80. For practical purposes in rowing, 0.75 is a reasonable standard. Individual physiology might cause slight deviations.

Q8: How does this relate to heart rate during rowing?

A: Heart rate is an indicator of cardiovascular effort, while power output is the measure of work done. As your weight changes, your heart rate response for a given power output might also shift slightly due to changes in cardiac load and efficiency. However, the power output itself is the direct measure of performance influenced by weight.

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"#dc3545" : "#ced4da"; return !errorMessage; // Return true if valid, false otherwise } function calculateWeightAdjustment() { var userWeight = parseFloat(userWeightInput.value); var targetWeight = parseFloat(targetWeightInput.value); var powerOutput = parseFloat(powerOutputInput.value); var rowingDistance = parseFloat(rowingDistanceInput.value); var isValid = true; isValid = validateInput(userWeightInput, userWeightError, 1, null, "Your Weight") && isValid; isValid = validateInput(targetWeightInput, targetWeightError, 1, null, "Target Weight") && isValid; // Allowing target weight > 0 isValid = validateInput(powerOutputInput, powerOutputError, 1, null, "Power Output") && isValid; isValid = validateInput(rowingDistanceInput, rowingDistanceError, 1, null, "Rowing Distance") && isValid; if (!isValid) { resultsDiv.style.display = 'none'; resultsTableSection.style.display = 'none'; resultsChartSection.style.display = 'none'; return; } var weightDifference = targetWeight – userWeight; var powerScalingFactor = Math.pow(targetWeight / userWeight, 0.75); var adjustedPower = powerOutput * powerScalingFactor; var percentageChange = ((adjustedPower – powerOutput) / powerOutput) * 100; // Estimate time adjustment // Using the approximation: Time adjustment is roughly half the percentage power change in the opposite direction. // More accurately: Time ~ 1 / Speed, and Speed ~ Power^0.5 // So, Time_new / Time_old = (Power_old / Power_new)^0.5 // We need an original time estimate. Let's assume a rough pace based on power. // A common approximation for pace: Split time (seconds per 500m) ≈ 60 * 500 / (Power * 1.15) if Power is avg. Let's use a simpler derived pace. // If Power doubles, speed roughly increases by sqrt(2) ~ 1.41, so time decreases by ~1/1.41 ~ 0.7. // Let's use the relationship: Time_adjusted / Time_original = (Power_original / Power_adjusted)^0.5 // To estimate Original Time, we need a reference point, e.g., a typical split time for that power. // A simple estimation: If power decreases by X%, time might increase by slightly less than X%. // Let's use a common approximation: time_factor = (power_original / power_adjusted)^0.5 var timeFactor = Math.pow(powerOutput / adjustedPower, 0.5); // We need original time to scale. Let's simulate a baseline time. // A common benchmark: 200W for 500m is about 2:00 (120s). Pace per watt ~ 120s / 200W = 0.6 s/W. // This is too simplistic. Let's use a known relationship. Pace (sec/500m) is roughly proportional to 1 / (Power^0.5). // Let's assume the provided power relates to a certain pace. // For example, 250W corresponds to ~1:36 pace (96 seconds). // Let's find the original pace implicitly: Pace_orig = k / sqrt(Power_orig). Pace_adj = k / sqrt(Power_adj). // Time_adj = Time_orig * (Pace_adj / Pace_orig) = Time_orig * (sqrt(Power_orig) / sqrt(Power_adj)) = Time_orig * timeFactor. // We need Time_orig. Let's estimate it: A rough estimate for seconds per 500m for 200W is ~120s. // Let's use a reference pace calculation: // Assume 200W = 120s/500m. Pace = 120s. // Pace_adj_per_500m = 120 * (200 / adjustedPower)^0.5 // The calculator asks for total time at distance: Total_Time = (Distance / 500) * Pace_adj_per_500m // This requires assumptions about the reference pace (e.g., 200W -> 120s/500m). // Let's simplify: Use the timeFactor directly for total time if distance is known. // A simpler approach: Assume time scales inversely with power to the power of 0.5. // Estimated time = (RowingDistance / 500) * (Reference Pace for 500m at Original Power) * timeFactor // Let's just provide the timeFactor for the distance if it's 500m, or scale it. // If we want total time for the given distance: // Assume original pace leads to a time T_orig for Distance. T_orig = (Distance / 500) * Pace_500m_orig. // T_adj = T_orig * timeFactor. // Without knowing T_orig, we can only give the ratio or make an assumption. // Let's make a simple assumption: a baseline pace. // If power is 200W, time for 500m is ~120s. For distance D, T_orig = (D/500)*120. // T_adj = (D/500)*120 * timeFactor. // Let's calculate this estimated time for the provided distance. var estimatedTimeSeconds = 0; if (powerOutput > 0 && adjustedPower > 0) { // Estimate original time for the given distance. Assume 200W = 120s/500m baseline. var baselinePower = 200; // Watts var baseline500mTime = 120; // Seconds var original500mPace = baseline500mTime * Math.pow(baselinePower / powerOutput, 0.5); var originalTotalTime = (rowingDistance / 500) * original500mPace; estimatedTimeSeconds = originalTotalTime * timeFactor; } document.getElementById("adjustedPower").textContent = adjustedPower.toFixed(1) + " Watts"; document.getElementById("timeToAdjustedPower").textContent = estimatedTimeSeconds > 0 ? estimatedTimeSeconds.toFixed(1) + " seconds" : "–"; document.getElementById("weightDifference").textContent = weightDifference.toFixed(1) + " kg"; document.getElementById("percentageChange").textContent = percentageChange.toFixed(1) + " %"; resultsDiv.style.display = 'block'; resultsTableSection.style.display = 'block'; resultsChartSection.style.display = 'block'; updateTable(userWeight, targetWeight, powerOutput, rowingDistance, weightDifference.toFixed(1), adjustedPower.toFixed(1), percentageChange.toFixed(1), estimatedTimeSeconds > 0 ? estimatedTimeSeconds.toFixed(1) : "–"); updateChart(); } function updateTable(uw, tw, po, rd, wd, ap, pc, et) { tableUserWeight.textContent = uw.toFixed(1); tableTargetWeight.textContent = tw.toFixed(1); tablePowerOutput.textContent = po.toFixed(1); tableRowingDistance.textContent = rd.toFixed(0); tableWeightDifference.textContent = wd; tableAdjustedPower.textContent = ap; tablePercentageChange.textContent = pc + " %"; tableTimeToAdjustedPower.textContent = et; } function updateChart() { if (!chartContext) { initializeChart(); } var userWeight = parseFloat(userWeightInput.value); var powerOutput = parseFloat(powerOutputInput.value); if (isNaN(userWeight) || isNaN(powerOutput) || userWeight <= 0 || powerOutput <= 0) { return; // Don't update chart if inputs are invalid } var weights = []; var powerOutputs = []; var adjustedPowers = []; // Generate data points around the user's weight var baseWeight = userWeight; var weightStep = baseWeight * 0.1; // Step by 10% of base weight var numPoints = 7; // Generate 7 points total (center + 3 left + 3 right) for (var i = -(numPoints – 1) / 2; i 0) { weights.push(currentWeight.toFixed(1)); var currentPower = powerOutput * Math.pow(currentWeight / baseWeight, 0.75); powerOutputs.push(currentPower.toFixed(1)); // Calculate adjusted power relative to the target weight input var targetWeight = parseFloat(targetWeightInput.value); var adjustedPowerAtTarget = powerOutput * Math.pow(targetWeight / baseWeight, 0.75); adjustedPowers.push(adjustedPowerAtTarget.toFixed(1)); } } // Ensure the chart datasets are updated correctly performanceChart.data.labels = weights; performanceChart.data.datasets[0].data = powerOutputs; // Your current power outputs at different weights performanceChart.data.datasets[1].data = adjustedPowers; // Calculated adjusted power values performanceChart.update(); } function resetCalculator() { userWeightInput.value = "75"; targetWeightInput.value = "85"; powerOutputInput.value = "200"; rowingDistanceInput.value = "500"; userWeightError.textContent = ""; targetWeightError.textContent = ""; powerOutputError.textContent = ""; rowingDistanceError.textContent = ""; userWeightInput.style.borderColor = "#ced4da"; targetWeightInput.style.borderColor = "#ced4da"; powerOutputInput.style.borderColor = "#ced4da"; rowingDistanceInput.style.borderColor = "#ced4da"; resultsDiv.style.display = 'none'; resultsTableSection.style.display = 'none'; resultsChartSection.style.display = 'none'; if (performanceChart) { performanceChart.destroy(); performanceChart = null; chartContext = null; } } function copyResults() { var adjustedPowerVal = document.getElementById("adjustedPower").textContent; var timeVal = document.getElementById("timeToAdjustedPower").textContent; var weightDiffVal = document.getElementById("weightDifference").textContent; var percChangeVal = document.getElementById("percentageChange").textContent; var tableData = "Concept 2 Weight Adjustment Results:\n\n"; tableData += "Adjusted Power Output: " + adjustedPowerVal + "\n"; tableData += "Estimated Time: " + timeVal + "\n"; tableData += "Weight Difference: " + weightDiffVal + "\n"; tableData += "Percentage Power Change: " + percChangeVal + "\n\n"; tableData += "Key Assumptions:\n"; tableData += "Your Weight: " + (userWeightInput.value ? userWeightInput.value + " kg" : "–") + "\n"; tableData += "Target Weight: " + (targetWeightInput.value ? targetWeightInput.value + " kg" : "–") + "\n"; tableData += "Power Output: " + (powerOutputInput.value ? powerOutputInput.value + " Watts" : "–") + "\n"; tableData += "Rowing Distance: " + (rowingDistanceInput.value ? rowingDistanceInput.value + " meters" : "–") + "\n"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = tableData; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; // Optionally show a temporary success message console.log(msg); } catch (err) { console.log('Oops, unable to copy: ', err); } document.body.removeChild(textArea); } // FAQ toggle function function toggleFaq(element) { var content = element.nextElementSibling; var faqItem = element.closest('.faq-item'); if (content.style.display === "block") { content.style.display = "none"; faqItem.classList.remove('active'); } else { content.style.display = "block"; faqItem.classList.add('active'); } } // Initialize calculator on load with default values if inputs are empty document.addEventListener("DOMContentLoaded", function() { // Set default values if inputs are empty if (!userWeightInput.value) userWeightInput.value = "75"; if (!targetWeightInput.value) targetWeightInput.value = "85"; if (!powerOutputInput.value) powerOutputInput.value = "200"; if (!rowingDistanceInput.value) rowingDistanceInput.value = "500"; // Perform initial calculation and chart update calculateWeightAdjustment(); updateChart(); // Initial chart generation });

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