FeSi Profiles
FeNi Profiles
TeNi Profiles
TeSi Profiles
NeTi Profiles
SeTi Profiles
SeFi Profiles
NeFi Profiles
TiNe Profiles
TiSe Profiles
FiSe Profiles
FiNe Profiles
SiFe Profiles
NiFe Profiles
NiTe Profiles
SiTe Profiles
Ne-Si problem (Less usage of Si) Codifier

Home 2023 › Forums › Vultology & Learning Center › Ne-Si problem (Less usage of Si) Codifier

Viewing 3 posts - 1 through 3 (of 3 total)
  • Author
    Posts
  • #19352
    Vin
    Participant
    • Type: NiFe
    • Development: l---
    • Attitude: Unknown

    Hi! I want to share my thoughts on here.

    (please right click the image and open in new tab to see full version)
    If you normally put him on codifier, he would be Ni/Se because eyebrows seems like (Ni raised outer edges) which is thats the cause the a little problem which is codifier is more about choosing signals with observation. I realised that Ne-Si users seems like have Ni- Raised outer edges, especially High Ne users or Ne leads. This happening because less usage of Si.
    I manipulated the images to show you

    And another one which is ı think many people on discord familiar with

    Let me know your ideas.Thank you!!

    #19374
    fayest42
    Participant
    • Type: FiNe
    • Development: ll--
    • Attitude: Unseelie

    Yes, it would be helpful to get some clarification on this. It looks like the area above their eyelids is falling in the middle, but raised on the edges, which makes it a bit unclear what is going on.

    #19379
    Alice
    Participant
    • Type: FiSe
    • Development: ll--
    • Attitude: Unseelie

    I've had problems with this in the past too, and still come across some confusion! Here is what I have to keep reminding myself though: What matters here is not the physical shape of the eyebrow, it is the muscles underneath. Some eyebrows exist in a sharper "V" shape or soft "m" shape naturally, just like how some eyes naturally tip outwards or inwards based on genetics. This has nothing to do with type, and can certainly be confusing when typing someone based on a short clip or image.
    What CT posits is that different functions end up adding muscle tone to different areas of the face based on the repeated use of certain expressions. This can absolutely get tricky to identify, because the human range of facial features is very large! Someone may look like they have heavy Ni eyelids, but it could just be that their eyelids exist within a smaller range of mobility than the general population. This is why CT signals exist in clusters, and why it's so important to check the box on every signal you see when typing. Signal mixing is possibly be more common among the P functions because they can be tricky to discern from anatomy at times, but that is okay, as long as the final count trends towards one or the other. It helps that signals will usually cluster along axes, and you can look at your end tallies to see if you have more signals along one P axis over the other.

Viewing 3 posts - 1 through 3 (of 3 total)
  • You must be logged in to reply to this topic.
bookmarkglobeenvelopeshopping-bag