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Definition: The time elapsed from the start of using 真阳展筋 Formula to the first occurrence of substantial changes.

• The shorter the time, the faster the results appear.
• Conversely, the longer the time, the slower the results manifest.

The statistical principle for classifying effectiveness speed is based on fitting large sample data to the actual distribution (which exhibits a significant right-skewed distribution).

• Vertical Axis (Y-axis): Probability.
• Horizontal Axis (X-axis): Cumulative days until effectiveness is observed.

Using this distribution:

• Cases falling within the expected range of the distribution are classified as Effectiveness Speed (Medium).
• Cases falling below the expected range are classified as Effectiveness Speed (Fast).
• Cases falling above the expected range are classified as Effectiveness Speed (Slow).

This implies:

1. The classification reflects a statistically modeled expectation based on real-world data.
2. Individual results may vary, but the classification provides a benchmark for comparison.
3. Fast and slow speeds are determined relative to the population's expected range, not as absolute measures.

The left side has a high density of sample data, forming a significant peak.

• This means the majority of samples fall under <Effectiveness Speed (Fast)>.
  • Simply put: Most individuals observe substantial changes within the first month (approximately 74.7%).

The right tail is extended, indicating some values significantly exceed the expected range but occur with low frequency.

• This means a smaller proportion of samples fall under <Effectiveness Speed (Medium)>.
  • Simply put: A minority observe substantial changes in the second month (approximately 23.2%).
• This means an even smaller proportion of samples fall under <Effectiveness Speed (Slow)>.
  • Simply put: Very few individuals observe substantial changes during the second phase (approximately 2.1%).

 Definition: The extent of change is a holistic concept that evolves continuously with a customer's feedback. For example, a customer using the first phase of Zhenyang Tendon Expansion Formula may initially show a change extent categorized as "<minimal change>." However, as they continue using the formula, by the end of the third phase, the overall extent of change may be categorized as "<significant change>."

The statistical principle behind the classification of the extent of change involves fitting a large sample size to determine the actual frequency distribution, which exhibits a slightly left-skewed normal distribution. Here's how it works:

1. Axes of the Distribution:
   • The vertical axis represents probability.
   • The horizontal axis represents the magnitude of change, objectively weighted using entropy weighting by to avoid 真阳 biases.
2. Classification of Change:
   • General Change: Falls within the expected range of the actual distribution.
   • Significant Change: Substantially greater than the expected range.
   • Minimal Change: Substantially smaller than the expected range.
   • Excellent Change: Slightly greater than the expected range.

3. Key Features of the Distribution:
   • Right Peak: Indicates that most samples cluster around the "<Excellent Change>" category, with a relatively higher peak value.
     • Implication: A majority of samples show "Excellent Change," while fewer fall under "Significant Change."
   • Left Tail: Indicates a longer tail on the left side, reflecting some values significantly below the expected range but occurring infrequently.
     • Implication: A minority of samples fall into "General Change," and even fewer into "Minimal Change."
4. Sampling and Classification Details:
   • To avoid systematic errors caused by "<Initial Phase>" or "<Explosive Growth>" effects, only customer samples with three or more phases of data are used for fitting the actual frequency distribution.
   • However, when classifying the extent of change for an individual customer, this restriction is not applied. Instead, the classification is directly based on the weights corresponding to the overall actual distribution.
     • Dynamic Updates: A customer's extent of change classification is dynamically updated with their latest feedback, as illustrated earlier.

This method ensures a comprehensive and objective approach to classification while enabling real-time updates based on individual progress.

How long it takes depends on your:

• Growth rate = Extent of change / Usage time
• Expectation = Baseline size + Extent of change
  • For example, if the question is: "I am currently 15 cm in length; how long will it take to grow to 19 cm?" — this is an expectation.
    • The baseline size should refer to cases with a baseline length of 14–15 cm (Cases with a baseline length of 14–15 cm ).
    • The extent of change should refer to cases categorized as significant change (Cases with (significant) extent of change ).
  • You can directly set dual filters in the system to view precisely matched cases

    n other words, let:

    • T represent the duration of using Zhenyang Tendon Expansion,
    • G represent the customer's overall growth rate, and
    • E represent the customer's expectation.

    Statistically, the relationship can be expressed as:

    T = E / G

    • That is, the larger the expectation and the slower the growth rate → the longer the duration.
    • Conversely, the smaller the expectation and the faster the growth rate → the shorter the duration.

Pre-sales information only needs to convey that growth pain indicates the tendons are growing.

• Growth pain is a positive sign.
• The majority of growth pain is not intense.
• Most cases involve mild sensations, typically a neurological response.

Regarding the enlargement effects of the 真阳 Tendon Expansion Formula:

People with healthier internal organs, more abundant vital energy and blood, and smoother meridian flow (as defined in traditional Chinese medicine) tend to achieve better and faster enlargement results.

This has nothing to do with age, as the underlying principles are not age-dependent. This conclusion is supported by a wealth of case evidence.

Examples from Previous Cases:

• Many cases feature individuals in their 40s with excellent lifestyle and exercise habits achieving significant enlargement within the first 55 days.
• Conversely, there are cases of 17-year-olds with poor physical health who, despite two months of use, saw mediocre results.

For the latter group (with slower progress):

• Please adjust your mindset and follow our plan step by step.
• Engage actively in group discussions, check in daily, and exchange encouragement with others.
• Progress is inevitable; you will see changes at every phase.

For those who are impatient or easily agitated, we strongly advise carefully considering your purchase and avoiding impulsive decisions.

There will be no rebound, nor is there any possibility of rebound, because the principle of 真阳 Tendon Expansion Formula is rooted in the actual growth of the tendons. You can observe the enlargement in the flaccid state to confirm this.

Rebound typically occurs when the increase is merely due to improved blood engorgement, which is not a substantive enlargement in the true sense.