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Tsraw - Alice Duarte - Skinny Ts Armpit Worship... -

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In the context of TSRAW, the focus on trans women like Alice Duarte adds another layer of complexity to the narrative. It highlights the intersection of identity, desire, and expression, showcasing the diversity of human experiences.

The world of TSRAW, with personalities like Alice Duarte at its forefront, represents a fascinating intersection of technology, desire, and self-expression. As we navigate the complexities of the digital age, understanding and discussing these phenomena can offer insights into the evolving landscape of human attraction and the myriad ways it is expressed online.

As we explore these themes, it's essential to approach them with an open mind, a respect for consent and individuality, and an understanding of the complex psychological and social dynamics at play. The TSRAW community and its various expressions are not just about fetishization but also about the human need for connection, expression, and understanding.

This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. TSRAW - Alice Duarte - Skinny TS Armpit Worship...

TSRAW is a unique interest that revolves around the admiration and worship of armpits, often in a sensual or erotic context. This fascination can manifest in various forms, including visual content, writing, and even role-playing. For some, armpit worship is a way to explore and express their desires, while for others, it's a means to appreciate the human body in all its forms.

: Researchers analyze how Online Social Networks (OSNs) like FetLife allow individuals with niche interests to build identities and communities that were previously isolated. Non-Pathological Models

From an evolutionary standpoint, the armpit serves a distinct biological function. It houses a high concentration of apocrine glands, which secrete proteins and lipids that, when broken down by bacteria, produce body odor. This odor is heavily influenced by the Major Histocompatibility Complex (MHC), a set of genes related to the immune system.

: Armpits are generally considered private and sometimes taboo areas of the body. The focus on such a niche area can evoke a sense of forbidden pleasure or excitement. List all sources where information was gathered

This functions as a branding acronym or site prefix. In adult networks, it typically stands for "TS Raw," indicating a specific collection or platform dedicated to unedited, highly focused, or unprotected transsexual (TS) adult content.

Therefore, the content likely features a associated with the TSRAW brand, who may be credited under variations of the name "Alice" (Duarte or Marques). The "Skinny" descriptor simply refers to her slender body type, which contributes to the specific aesthetic of this fetish content.

It's vital to acknowledge that these communities can provide a sense of belonging and connection for those involved. However, it's equally important to ensure that all interactions and content creation occur within consensual and respectful boundaries.

Many videos in this niche do not feature explicit acts. Instead, they focus on slow, deliberate movements, skin textures, apply lotions or oils, and whispering. For viewers, the appeal is heavily rooted in visual and auditory relaxation. 2. High-Definition Aesthetics The world of TSRAW, with personalities like Alice

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Once in a small, vibrant town nestled between rolling hills and lush forests, there lived a young woman named Alice Duarte. Alice was known for her striking features and confident demeanor, but what many didn't know about her was her unique interest in armpit worship, a fascination that both intrigued and puzzled her friends.

If you're interested in learning more about specific online communities or content creators, I encourage you to explore reputable sources and engage in respectful discussions. The online landscape is vast and complex, and maintaining a neutral, informed, and empathetic attitude can help us navigate these diverse communities.

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SPSS Statistics

SPSS Statistics procedure to create an "ID" variable

In this section, we explain how to create an ID variable, ID, using the Compute Variable... procedure in SPSS Statistics. The following procedure will only work when you have set up your data in wide format where you have one case per row (i.e., your Data View has the same setup as our example, as explained in the note above):

  1. Click Transform > Compute Variable... on the main menu, as shown below:

    Note: Depending on your version of SPSS Statistics, you may not have the same options under the Transform menu as shown below, but all versions of SPSS Statistics include the same compute variable menu option that you will use to create an ID variable.

    computer menu to create a new ID variable

    Published with written permission from SPSS Statistics, IBM Corporation.


    You will be presented with the Compute Variable dialogue box, as shown below:
    'recode into different variables' dialogue box displayed

    Published with written permission from SPSS Statistics, IBM Corporation.

  2. Enter the name of the ID variable you want to create into the Target Variable: box. In our example, we have called this new variable, "ID", as shown below:
    ID variable entered into Target Variable box in top left

    Published with written permission from SPSS Statistics, IBM Corporation.

  3. Click on the change button and you will be presented with the Compute Variable: Type and Label dialogue box, as shown below:
    empty 'compute variable: type and label' dialogue box

    Published with written permission from SPSS Statistics, IBM Corporation.

  4. Enter a more descriptive label for your ID variable into the Label: box in the –Label– area (e.g., "Participant ID"), as shown below:
    participant ID entered in 'compute variable: type and label' dialogue box

    Published with written permission from SPSS Statistics, IBM Corporation.

    Note: You do not have to enter a label for your new ID variable, but we prefer to make sure we know what a variable is measuring (e.g., this is especially useful if working with larger data sets with lots of variables). Therefore, we entered the label, "Participant ID", into the Label: box. This will be the label entered in the label column in the Variable View of SPSS Statistics when you complete at the steps below.

  5. Click on the continue button. You will be returned to the Compute Variable dialogue box, as shown below:
    ID variable entered

    Published with written permission from SPSS Statistics, IBM Corporation.

  6. Enter the numeric expression, $CASENUM, into the Numeric Expression: box, as shown below:
    second category - '2' and '4' - entered

    Published with written permission from SPSS Statistics, IBM Corporation.

  7. Explanation: The numeric expression, $CASENUM, instructs SPSS Statistics to add a sequential number to each row of the Data View. Therefore, the sequential numbers start at "1" in row 1, then "2" in row 2, "3" in row 3, and so forth. The sequential numbers are added to each row of data in the Data View. Therefore, since we have 100 participants in our example, the sequential numbers go from "1" in row 1 through to "100" in row 100.

    Note: Instead of typing in $CASENUM, you can click on "All" in the Function group: box, followed by "$Casenum" from the options that then appear in the Functions and Special Variables: box. Finally, click on the up arrow button. The numeric expression, $CASENUM, will appear in the Numeric Expression: box.

  8. Click on the ok button and the new ID variable, ID, will have been added to our data set, as highlighted in the Data View window below:
data view with new 'nominal' ID variable highlighted

Published with written permission from SPSS Statistics, IBM Corporation.


If you look under the ID column in the Data View above, you can see that a sequential number has been added to each row, starting with "1" in row 1, then "2" in row 2, "3" in row 3, and so forth. Since we have 100 participants in our example, the sequential numbers go from "1" in row 1 through to "100" in row 100.

Therefore, participant 1 along row 1 had a VO2max of 55.79 ml/min/kg (i.e., in the cell under the vo2max column), was 27 years old (i.e., in the cell under the age column), weighed 70.47 kg (i.e., in the cell under the weight column), had an average heart rate of 150 (i.e., in the cell under the heart rate column) and was male (i.e., in the cell under the gender column).

The new variable, ID, will also now appear in the Variable View of SPSS Statistics, as highlighted below:

variable view for new 'nominal' ID variable highlighted

Published with written permission from SPSS Statistics, IBM Corporation.


The name of the new variable, "ID" (i.e., under the name column), reflects the name you entered into the Target Variable: box of the Compute Variable dialogue box in Step 2 above. Similarly, the label of the new variable, "Participant ID" (i.e., under the label column), reflects the label you entered into the Label: box in the –Label– area in Step 4 above. You may also notice that we have made changes to the decimals, measure and role columns for our new variable, "ID". When the new variable is created, by default in SPSS Statistics the role column will be set to "2" (i.e., two decimal places), the measure will show scale and the role column will show input. We changed the number of decimal places in the decimals column from "2" to "0" because when you are creating an ID variable, this does not require any decimal places. Next, we changed the variable type from the default entered by SPSS Statistics, scale, to nominal, because our new ID variable is a nominal variable (i.e., a nominal variable) and not a continuous variable (i.e., not a scale variable). Finally, we changed the cell under the role from the default, input, to none, for the same reasons mentioned in the note above.

Referencing

Laerd Statistics (2025). Creating an "ID" variable in SPSS Statistics. Statistical tutorials and software guides. Retrieved from https://statistics.laerd.com/


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