🚨 Time Isn’t Moving Forward… You’re Being Pulled Through... It Everyone thinks time flows like a river. Wrong. Time is a standing wave, and you are the oscillation moving through phase states. In Frequency Wave Theory, time is not something that “passes”—it’s something your consciousness locks onto through coherence. Each moment is a frequency slice, and what you call the “present” is just the phase your system is currently synchronized with. That’s why time speeds up, slows down, or even disappears entirely under certain conditions—your internal frequency shifts, not time itself. The universe isn’t ticking… it’s resonating. This flips everything. Memory isn’t stored in the past—it’s phase-accessed. The future isn’t unwritten—it’s just a higher-frequency state you haven’t locked into yet. When coherence increases, the system gains access to more phase information, which is why intuition, déjà vu, and precognition happen. You’re not predicting—you’re tuning. Time travel doesn’t require machines, it requires phase alignment. Change the frequency, and you change the timeline you experience. You’re not moving through time… time is moving through you.show more

Bashar says something most people completely misunderstand: When you... follow your passion, nothing negative can happen. If negativity appears, it’s because you left the vibration of your passion. Your passion is your highest frequency your soul’s signature vibration. It’s the state where you’re aligned, inspired, connected, guided. So when life suddenly feels heavy, chaotic, or “off”… it’s not because passion led you into the wrong place. It’s because fear pulled you out of alignment. Fear-based beliefs distort your frequency. They break resonance. They create static in the field. But the moment you return to the vibration of your passion, your true frequency, the distortion dissolves. Opportunities reappear. Synchronicities return. Life feels effortless again. Because passion isn’t just emotion. It’s energy physics. Resonance. Coherence. Harmony. Your passion is the compass of your higher self, the frequency that guides you toward the timeline meant for you. Stay in that vibration, and everything unfolds. Leave it, and you’ll feel it instantly. So the real question is: Are you living in passion…or in fear?show more

Einstein’s wildest theory wasn't that time flows. It’s that... time is a physical fabric, and you can warp it. According to his equations, the future is not a distant destination, it is a speed limit. If you move fast enough through space, your clock slows down while the rest of the world rushes ahead. You don't need a time machine to reach the future. You just need enough speed to leap into it.show more

The problem isn’t that you are on your phone... all the time. The problem is that you’re not WORKING when you are on your phone.show more

THE HEART IS THE VORTEX IN THE TORUS The... Heart is not a mechanical pump. It’s a plasmic convergence field. A Toroidal generator. A Living lens through which Consciousness circulates. Blood doesn’t just flow because of the heart , it flows through the Heart’s Electrical and Magnetic rhythm. The pulse is not pressure. It’s Coherence. This is why the heart emits the strongest Electromagnetic field in the body, stronger than the brain. It doesn’t push. It informs. It sings your waveform into motion. You are not alive because your heart beats. Your heart beats because you are alive. And that beat, is a code. A rhythm the field remembers. A signature only you emit. ✨🙌🏾💫 © Elouraishow more

Mama Caro. You’re not in this alone. It’s a... phase. We will overcome. Give time some time.show more

A square wave in time is a set of... amplitudes in frequency, and the Fourier series is the bridge between the two.show more

🚨 THE BITCOIN BOTTOM IS CLOSE. BUT NOT HERE... YET. Look at the cycle ROI chart. Every cycle takes time to fully bottom out. The give back phase does not end in a single candle. It grinds. We are inside that phase now, but the cycles show there is still road left before the real low prints. That is not bad news. It is time. Time to prepare. Time to position.show more

Toughness isn’t something you’re born with — it’s something... you build. It’s not about talent; it’s about commitment. It’s not a feeling. It’s a decision. Over and over again. Toughness is the difference between the ones who talk about winning and the ones who actually do it.show more

Your thoughts are not yours. They are radio signals... passing through the receiver of your skull. You tune to fear, to love, to madness, like turning a dial. The static you hear at 3 a.m. is not anxiety; it is a frequency from a mind that does not know it is dead.show more

Spending some time with my family remind me of... when is was little and I used to think being wealthy meant being able to afford more. 💸🦋🍄 But wealth isn’t about how much you can afford to spend, it’s about how much of your time you can afford to keep. Every dollar you spend is a piece of your life you traded to earn it. Spend $100, and you’re spending the time it took to create that $100. I stopped asking, can I afford it? And changed it for, is this really worth my time? Because the goal isn’t to work more so you can spend more. The goal is to build enough wealth that your time belongs to you. True wealth is having more time to spend with the people you love, and moments you wouldn’t trade for anything. Remember to aim for the things money can't buy. 💪😊show more

the difference between sangwon and leo in teaching sanghyeon... the correct move… 😭 🥀 : it’s because that you’re moving your upper body.. so every time that you move, you do this. 🐶 : keeping it still and just move my chest? 🦁 : imagine that you’re holding something heavy, a little.. can’t drop the dishes! you’re shaking the dishes! 🐶 : okay! 🦁 : you spilled all the foodshow more

When the workshop is busy it can feel like... you’re here there and everywhere all at once… that’s why it’s a good idea to keep your gear organised so you know where you need to be all the time.show more

THE VERSION OF YOU THAT ALREADY EXISTS This is... not offering another self-improvement tactic, it is pointing to a quieter, more radical truth: nothing you long for is missing from the field you already inhabit. The mind can only dream what consciousness has already seeded, which means the "future self" is not ahead of you on a timeline but present as an unclaimed frequency. Alignment is not effortful becoming, it is the gentle withdrawal of the belief that you are unfinished. When you speak, feel, and move as the one who already is, the outer world has no choice but to rearrange itself as a mirror, because reality never creates from lack, it only reflects the state you have consented to occupy. The only veil is the story that you are not yet ready. You are. The version waiting in the quantum is not arriving, it is recognizing itself through YOU!show more

[Discrete Fourier Transform] by Hand ✍️ In signal processing,... the Discrete Fourier Transform (DFT) is no doubt the most important method. But the math involved is extremely complex, literally, involving a summation over a complex number term e^(-iwt). I developed this exercise to demonstrate that underneath such complexity, DFT is just a series of matrix multiplications you can calculate by hand. ✍️ Once you see that, it should not surprise you that a deep neural network, which is also a series of matrix multiplications, with activation functions in-between, can learn to perform DFT to process and analyze signals so effectively. How does DFT work? [1] Given ↳ Signals A, B, and C in the 🟧 frequency domain: ◦ A = cos(w) + 2cos(2w) ◦ B = cos(w) + cos(3w) + cos(4w) ◦ C = -cos(2w) + cos(3w) ◦ Each signal is a weighed sum of four cosine waves at frequencies 1w, 2w, 3w, and 4w. ◦ We will apply Inverse DFT to convert the signals to time domain representations, and then demonstrate DFT can convert back to their original frequency domain representations. ↳ Signal X in the 🟩 time domain. X is sampled at 10 time points 1t, 2t, …, 10t: ◦ X = [-2.5, -1.8, 3, -0.7, -1.0, -0.7, 3, -1.8, -2.5, 5] ◦ Suppose X is also a weighted sum of the same four cosine waves, but we don’t already know their weights. We will apply DFT to discover them. [2] 🟧 Frequency Matrix (F) ↳ Write the coefficients of A, B, C as a matrix F. Each signal is a row. Each frequency is a column. ↳ A → [1, 2, 0, 0] ↳ B → [1, 0, 1, 1] ↳ C → [0, 1-, 1, 0] [3] Cosine → Discrete ↳ Sample from the continuous cosine waves at discrete time points 1t, 2t, 3t, to 10t. [4] Cosine Matrix (W) ↳ Write the samples as a matrix, Each frequency is a row. Each time point is a column. [5] Inverse DFT: 🟧 Frequency → 🟩 Time ↳ Multiply the frequency matrix F and the cosine matrix W. ↳ The meaning of this multiplication is to linearly combine the four cosine waves (rows in W) into time-domain signals (rows in T) using the weights specified in F. ↳ The result is matrix T, which are signals A, B, C converted to the time domain. Each signal is a row. Each time point is a column. [6] Transpose ↳ Transpose T, converting each signal’s time domain representation from a row to a column. [7] DFT: 🟩 Time → 🟧 Frequency ↳ Multiply the cosine matrix W with the transpose of matrix T. ↳ The purpose of this multiplication is to take a dot-product between each time-domain signal (columns in the transpose of T) and each cosine wave (rows in W), which has the effect of projecting the signal onto a cosine wave to determine how much they are correlated. Zero means not correlated at all. ↳ The result is an intermediate version of the “recovered” frequency matrix where each column corresponds to a signal and each row corresponds to a frequency. ↳ Compared to the original frequency matrix F, this intermediate matrix has non-zero weights in the correct places, but scaled up by a factor of 5 (n/2, n=10). For example, signal A, originally [1,2,0,0], is recovered at [5,10,0,0]. [8] Scale ↳ Multiply each value by 2/n = 1/5 to scale down the intermediate matrix to match the magnitude of the original frequency matrix F. [9] Transpose ↳ Transpose the recovered frequency matrix back to the same orientation of the original frequency matrix F. ↳ Like magic 🪄, the result is identical to the original F, which means DFT successfully recovered the frequency components of signals A, B, C. [10] Apply DFT to X: 🟩 Time → 🟧 Frequency ↳ Now that we have some confidence in DFT’s ability to recover frequency components, we apply DFT to X’s time-domain representation by multiplying W with X. ↳ The result is the an intermediate matrix. [11] Scale ↳ Similarly, we scale down by a factor of 5 to obtain the recovered frequency components of X (a column). [12] Transpose ↳ Similarly, we transpose the recovered column to row to match the orientation of the frequency matrix. ↳ Using the coefficients [0,0,3,2], we can write the equation of X as 3cos(3w) + 2cos(4w). Notes: I hope this by hand exercise helps you understand the essence of DFT. But there is more technical details, such as: • Sine: The complete DFT math also includes sine waves that follow a similar calculation process. • Phase: Here, we assume all the cosine waves are aligned at the origin, namely, phase is 0. If a phase p is added, for example, cos(w+p), we will need to calculate the sine component and use their ratio to figure out what p is. • Magnitude: If phase is not zero, the magnitude will need to be calculated by combining both cosine and sine terms.show more

when you’re going through a difficult time, remember what... Jake said: 🦮: sometimes, sometimes the only thing you can do is to just cry, let your emotions flow. don’t try to fix everything at once, just take the time. 🦮: you’ve just got to remember that, there’s gonna be a rainbow after the storm. it’s all gonna pass, one day at a time. #JAKE #제이크show more