Ti | Introverted Thinking | Cognitive Function

What is MBTI's Ti cognitive function? How does it work and how does it work differently in each tier slot? Ti & Fe vs Te & Fi.

Ti & Fe vs Te & Fi

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Ti works by constructing internal logic systems. It does so by connecting unrelated details together in correlative maps. This is in contrast to Extroverted Thinking (Te) which uses non-correlative maps, such as independent ideas working unconnected.

A Ti user looks to connect all things together to form a big picture understanding. Whereas Te looks to give singular ideas their own respect and/or depth. Therefore two ideas can work independently for a Te user at the same time, even though they may contrast each other.

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Ti vs Te

For a Ti user it must, “all make sense,” in the big picture through correlation. Due to this, Te can put ideas into action quicker, as there is no need to justify new ideas fitting in with older patterns. Though the ideas that Te uses, may be flawed when acted upon because it wasn’t as vigorously checked against other ideas.

For an example, ENTJ and ESTJ (Te doms) will institute new things in a workplace because a decision needs to be made now, but they may not have enough overall data to know whether it will work perfectly. If asking an INTP or ISTP (Ti doms), they will have more issues making a big decision without enough data to support it.

To flip the example to an opposite situation, if you are making a video game and you release it without correlating all the new code to make sure it works with prior code already being used (Ti), and just rush to bring it to launch without testing properly it may cause the game to be entirely broken at launch (Te). As many things may be connected within the coding. A dog running in the game may be connected to a human swinging a sword (movement code mechanics).

So, Te is more situationally useful in some places like time valued situations, instances where problems can be “fixed later” without affecting retention, etc. Whereas Ti is useful in places when time is less pressing, where getting as much information as possible is required, etc.

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Ti & Fe

Let’s give an example of Ti and Fe working together;

Sally likes bees, Harry likes wasps, Ben like tulips, and Norman likes rocks (1 system).

Bees in europe don’t sting, people think wasps are bad, tulips are widely coloured and rocks are static objects (1 system).

These are two random strings of data.

For Ti-Fe the data recorded together. Not separately. It may be recorded as;

“Ask sally whether she has been to (continent where bees sting/continent where bees don’t sting)” (to qualify which bees - as to whether she likes dangerous or innocent ones, will correlate to possibly her liking yellow and black colouring, or honey, as the reason behind her like), Harry likes appearing dangerous, Ben likes variance in his interest beyond gender norms (pay more attention to - he may be an F type and have lots of non-traditionally correlated data with male experience), and be careful with talking to Norman as he said rock not gem, so likely a hard logician (inquire about).

Depending on what is higher, Fe or Ti, the data will detach from one or the other with its preference for what is higher ranked. For example, an ENTP will keep the data in Ti (with their map) whereas ESFJ will keep the data with people (remembering individual people’s wants and needs). Fe takes focus or Ti takes focus for “storage”.

A higher Ti user will record the end point data as:

People choose whether to like bees based on sting or not (if conversation with Sally lead to this correlation - she cited was from Europe and liked her local bees but not the new local bees that sting). Men with variables xyz (features of personality and appearance like Harry) like appearing dangerous (do more correlations to check which ones are more likely over others - ask what other animals also to check correlation). Tulips may be a cross-gender flower, similar to Roses (familiarity in society may make it easier to talk about by men and women alike). For some people rocks and gems mean the same thing. The data has detached from the original source (Fe) which can cause issues with depth of Fe, but useful for Ti.

A higher Te user will record the end point data as:

Sally. Sally lived in Europe. Inquire where in Europe. Buy Sally honey and see how she reacts.

Harry liking wasps means he likes presenting himself as dangerous. Check both layers of him with inquiry as to whether this is just external or also internal to see whether it is an external farce or internally this is also the case.

Ben likes tulips because his mother liked tulips. Ben may have a higher connection to his family, when Ben is sad providing him Tulips may make him feel better. Inquiry as to Ben’s favourite colour (for which Tulips may be the best).

Norman is logical. Likes rocks, but doesn’t like gems. He likes rocks because they remind him of gravity. Gravity and feeling grounded is important for Norman.

It focuses on the data unconnected to people or connected to people when recording.

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Te & Fi

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Ti & Fe vs Te & Fi

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