Tale 1 of Mother Goose for Grown-Ups This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, please visit LibriVox.org. Mother Goose for Grown-Ups by Guy Wetmore Carroll To Constance In memory of other days, dear critic, when your whispered praise cheered on the limping pen, how short, how sweet those younger hours, how bright our suns, how few our showers, alas, we knew not then. If but long leagues across the seas, the trivial charm of rhymes like these shall serve to link us twain and instant in the olden spell that once we knew and loved so well, I have not worked in vain. End of To Constance Tale 2 of Mother Goose for Grown-Ups This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, please visit LibriVox.org. Mother Goose for Grown-Ups by Guy Wetmore Carroll The admirable assertiveness of Jilted Jack, a noble and generous mind, was Jack's. Folks knew he would not talk behind their backs, but when some maiden, fresh and young, at Jack, a bit of banter flung, she soon discovered that his tongue was sharp as any axe. A flirt of most engaging wiles was Jill. On Jack she lavished all her smiles, until her slave, and he was not the first, of love-sick swains, became the worst. His glance a strong box might have burst. His sighs were fit to kill. One April morning, clear and fair, when both, of staying home and idling there, in sloth, were weary Jack remarked to Jill, Oh what's the sense in sitting still? Let's mount the slope of yonder hill. And she was nothing loath. But as she answered, what's the use? The gruff, young Swain replied, Oh there's excuse, enough. Your doting parent's water lack. We'll fill a pail and bring it back. The reader will perceive that Jack was putting up a bluff. Thus hand in hand the tempting hill they scaled, and Jack proposed a kiss to Jill, and failed. One backward start, one step too bold, and down the hill the couple rolled, resembling, if truth be told, a luggage train derailed.  Ashamed. You quite forget yourself. It's plain. So I'll forget you too. Insane. Young man I'll say, Of widows' aim. Her German might be blamed. But Jack, whose linguist pride was pricked to shine, asked, Mein kunigen will nicht, be mine. And when she answered, Nein, in spleen, he cried, Then in the soup to reen, you'll stay, you're not the only queen, discarded for a nine. A moral's made for Maiden's young and small. If you would in a foreign tongue, enthrall, lead off on daunted in a swede, or Spanish speech, and you'll succeed. But they who win a German lead, no favor win at all. End of The admirable assertiveness of Jilted Jack. Section 3. The blatant brutality of Little Bo Peep. From Mother Goose for Grown Ups. Mother Goose for Grown Ups. Mother Goose for Grown Ups. By Guy Wetmore Carroll. The blatant brutality of Little Bo Peep. Though she was only a shepherdess, tending the meekest of sheep, never was African Leopardess crosser than Little Bo Peep. Quite apathetic, impassable people described her as that wayward, contentious, irascible, testy, cantankerous brat. Yet, as she dozed in a grotto-like sort of kind of a nook, she was charmingly Watto-like, what with her sheep and her crook. She is a dryad, or nymph, any casual passer would think. Poets pronounced her a symphony, all in the pale list of pink. Thus it was not enigmaticle that the young shepherd who first found her asleep in ecstactical size of felicity burst. Such was his sudden beatitude that, as he gazed at her so, daftness gave vent to this platitude. My, ain't she elegant, though?  Perhaps you imagine you're smart. Daftness protested impulsively, blushing as red as a rose. All was in vain. She convulsively punched the young man in the nose. All of it's true. Every word of it I was not present to peep, but if you ask how I heard of it, please to remember the sheep. There is no need of excuse. You will see how such scandals occur. If you recall Mother Goose, you will know what tale-bearers they were. Moral. This pair, irreclaimable, might have made Seraphim weep. But who can pick the most blamable? Both saw a little bow-peep, end of the blatant brutality of Little Bo Peep. Read by Dennis Sayers in Modesto, California, for LibriVox, fall 2008. Mother Goose for Grownups by Guy Wetmore Carroll The commendable castigation of Old Mother Hubbard. She was one of those creatures whose features are hard beyond any reclaim. And she loved in a hovel to grovel, and she hadn't assent to her name. She owned neither gallance nor talents. She barred extensively, too, from all of her dozens of cousins, and never refunded a sue. Yet all they said in abuse of her was she is prouder than Lucifer. That I must say, without meaning to blame, is always the way, with that kind of a dame. There never was Jolly or Collie than Old Mother Hubbard had found. Though cheaply she bought him, she'd taught him to follow her meekly around. But though she would lick him and kick him, it never had any effect. He always was howling and growling. But goodness, what could you expect? Collies were never too flourish meant, lest they had plenty of nourishment. All that he had were the feathers she'd pluck, off an occasional chicken or duck. The Collie was barred in the garden. He howled, and he wailed, and he whined. The neighbors indignant, malignant, petitions unanimous signed. The nuisance grows nightly, politely, they wrote. It's an odious hound, and either you'll fill him or kill him, or else he must go to the pound. For if this howling infernally is to continue nocturnally, pardon us, man, if we seem to be curt, somebody's apt to get horribly hurt. Mother Hubbard cried loudly and proudly, Land's sakes, but you give yourselves heirs. I'll take the law to you and sue you. The neighbors responded, Who cares?  We won't be repining and fining, so long as we're rid of the pup. They then proceeded to mount a sign, bearing this ominous counter-sign. Freeman, the moment has come to protest, and old Mother Hubbard, the lendom, est. They marched to her gateway and straightway. They trampled all over her lawn. Most rudely they harried and carried her round on a rail until dawn. They marred her and jarred her and tarred her and feathered her just as they should. Of speech they bereft her and left her, with now do you think you'll be good? The moral's a charmingly pleasing one, while we would deprecate teasing one. Still, when a dame has politeness rebuffed, she certainly ought to be collared and cuffed. End of the commendable castigation of old Mother Hubbard. The Disappointing Discovery of Little Jack Horner From Mother Goose for Grownups This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, visit LibriVox.org. Read by Dennis Sayers Mother Goose for Grownups By Guy Wetmore Carroll The Disappointing Discovery of Little Jack Horner A knack all most incredible for dealing with an edible Jack Horner's elder sister was acknowledged to display. She labored hard and zealously, but always guarded jealously the secrets of the dishes she invented every day. She'd take some indigestible, unpopular commestible, and to its better nature would so tenderly appeal that Jack invoked a venison upon a haunch of venison, when, really, she was serving him a little leg of veal. Jack said she was a miracle. The word was not satirical, for daily, climbing upward, she excelled herself at last. The acme of facility, the zenith of ability, was what she gave her brother for his Christmas Day, repast. He dined that evening eagerly, and anything but meagerly, and when he'd finished, had his salad and his quart of extra dry. With sisterly bedignity, and just a touch of dignity, she placed upon the table an unutterable pie. Unflagging pertinacity, and technical sagacity, long nights of sleepless vigil, and long days of constant care had been involved in making it, improving it, and baking it, until, of other pies, it was the wonder and despair. So princely, and so prominent, so solemn, so predominant, it looked upon the table that, with fascinated eye, the youth, with sudden wonder, struck, electrified, and thunderstruck, could only stammer stupidly, Oh, golly, what a pie! In view of his satiety, it almost seemed impiety to carve this crowning triumph of a culinary life. But, braced by his avidity, with sudden intrepidity he broke its dome, imposing with a common kitchen knife. Ah, hideous fatality, for when, with eager palate, he commenced to eat, he happened, on an accident, uncouth. And cried, with stifled moan, of it, one plum I tried, the stone of it had never been extracted, I've broke my wisdom tooth. Jack's sister wept effusively, but, loudly and abusively, his unreserved opinion of her talents he proclaimed. He called her names like driveler, and simpleton, and sniveller, and others which, to mention, I am really too ashamed. The moral, it is saddening, embarrassing, and maddening, a stone to strike, in what you thought was paced. One thing alone, then, this mischance is crueler, and that is for a jeweler, to strike, but paced, in what he fondly, thought to be a stone. End of the discouraging discovery of Little Jack Horner, read by Dennis Sayers for LibriVox, fall 2008. The embarrassing episode of Little Miss Maffette. Little Miss Maffette discovered a taffette, which never occurred to the rest of us. And, as it was a June day, and just about noon day, she wanted to eat, like the best of us. Her diet was way, and I hastened to say it is wholesome, and people grow fat on it. The spot being lonely, the lady not only discovered the taffette, she set on it. A rivulet gabbled beside her and babbled, as rivulets always are thought to do, and dragonflies ported around and coveted, as poets say dragonflies ought to do. When glancing aside for a moment, she spied a horrible sight that brought fear to her. A hideous spider was sitting beside her, and most unavoidably near to her. Albeit unsightly, this creature politely said, Madam, I earnestly vowed to you. I'm penitent that I did not bring my hat. I should otherwise certainly vow to you. Though anxious to please, he was so ill at ease that he lost all his sense of propriety, and grew so inept that he clumsily stepped in her plate, which is barred in society. This curious error completed her terror. She shattered, and growing much paler, not only left taffette, but dealt him a buffet which doubled him up in a sailor-naught. It should be explained that, at this point, he was pained. He cried, I have vexed you no doubt of it. Your fist like a truncheon.  Get out of it! And the moral is this. Be it madame or miss, to whom you have something to say. You are only observed when you get in the curd, but you rude when you get in the way. End of the embarrassing episode of Little Miss Maffette, recording by Eswa in Belgium in September 2008. Tales 7 of mother goose for grown-ups. This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, please visit LibriVox.org. Recording by Didier. Mother goose for grown-ups by Guy Wetmore Carroll. The fearful finale of the irascible mouse. Upon a stairway built of brick, a pleasant featured clock from time to time would murmur tick and vary it with tock. Although no great intelligence there lay in either world, they were not meant to give offence to anyone who heard. Within the pantry of the house, among some piles of cheese, there dwelt an irritable mouse, extremely hard to please. His appetite was most immense. Each day he ate a wedge of stilted cheese. In consequence, his nerves were all on edge. With ill-concealed impatience he, upon his morning walk, had heard the clock inceasingly, unnottenessily toke. Until his rage burst every bound, he gave a fretful shout, Well, Psyche's alive. It's time I found what all this talk's about.  And then, with word that no one thought to use and scornful squeals, he cried aloud, Just what I thought, great oaf, you're full of wheels. The timepiece sternly sailed, half done, and through the silence house it struck emphatically one. But that one was the mouse. To earth the prowling run fell in terror for his life and turned to flee, but sad to tell, theirs to the farmer's wife. She did not faint, she did not quell, she did not cry out, scat! She simply took him by the tail and gave him to the cat. And with a stern triumphant look, she watched him cloud and cleft and with some blotting paper took up all that there was left. The moral, in a farmer's home run down his herds, his flocks, run down his crops, run down his loam, but when it comes to clocks, pray leave them ticking everyone in peace upon their shells. When running down is to be done, the clocks run down themselves. And of the fearful finale of the irascible mouse. Tale 8 of Mother Goose for Grown-Ups. This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, please visit LibriVox.org. Mother Goose for Grown-Ups by Guy Wetmore Carroll. The Gastronomic Guile of Simple Simon. Conveniently near to where Young Simple Simon dwelt, there was to be a county fair, and Simple Simon felt, that to the fair he opt to go, in all his Sunday clothes and so, determined to behold the show, he put them on and went. One half his clothes was borrowed, and the other half was lent. He heard a far the cheerful sound of horns that people blew, saw wooden horses swing around a circle, two and two. Beheld balloons arise, and if, he scented with a gentle sniff, the smells of pies, what is the death? For rents to me or you. You cannot say my verses false, because I know it's true. As Simple Simon nearer came, to these attractive smells, avoiding every little game men played with wama-chels, he felt a sudden longing rise, the sparkle in his eager eyes, betrayed the fact he yearned for pies, the eye the secret tells. To his known the pie of country fairs, all other pies excels. So when he saw upon the road, some fifty feet away, a pie man, Simple Simon strode, toward him shouting, hey, what kinds, as lordly as a prince? The pie man said, pumpkin, quince, blueberry, lemon, peach, and mince. And showing his array, he added, won't you try one, sir? They're very nice today. Now Simon's taste was most profuse, and so by way of start, he ate two cakes, a charlotte rousse, six buns the better part, of one big gingerbread, a pair of ladyfingers and a clare, and ten assorted pies, and there his hand upon his heart, he paused to choose between an apple-dumpling and a tart. Observing that upon his tray, his goods were growing few, the pie man cried, I beg to say, that patrons such as you, one does not meet in many a moon, pray, won't you try this macaroon? But soon suspicious changed his tune, continuing, what is due, I beg respectfully to add, a dollar twenty-two. Then simple Simon put a curb upon his appetite, and turning with an air superb, he suddenly took flight, while o'er his shoulder this absurd and really most offensive word, the trusting pie man shortly heard, to soothe his bitter plight. Perhaps I should have said before your wares are out of sight. The moral is a simple one, but still of consequence. We've seen that Simon's sense of fun was almost too intense. Though blaming his deceitful guys, we with the pie man sympathize. The latter we must criticize, because he was so dense. He might have known from what he ate that Simon had no sense, and of the gastronomic guile of simple Simon. Recording by David Federman. Mother Goose for Grownups. This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, please visit LibriVox.org. Recording by Toby Parity. Mother Goose for Grownups by Guy Wetmore Carroll. The harmonious heedlessness of Little Boy Blue. Composing scales beside the rails that flanked a field of corn, a farmer's boy with vicious joy performed upon a horn. The vagrant airs, the fragrant airs around the field that strayed took flight before the fragrant airs that noisome urchin played. He played with care, the maiden's prayer. He played God Save the Queen, D'Ivoque d'Amrein and Audlangzein and Waring of the Green, with futile toots and brutal toots and shrill chromatic scales and utterly and noodle toots and agonizing wales. The while he played around him strayed and calmly chewed the cud. Some thirty-nine assorted kind, all ankle deep in mud. They stamped about and tramped about that mud till all the troop made noises as they ramped about like schoolboys eating soup. Still growing bored with one accord they broke the fence forlorn. The field was doomed, the cows consumed two-thirds of all the corn, and viciously maliciously went prancing o'er the loam. That landscape expeditiously resembled harvest home.  Oh, drat, he said, the brat, he said, the cowherd seemed to rouse. My friend, it's worse than that, he said, the corn is in the cows.  Or scaling and assailing, and with energy immense, Your cows will take a railing, and the farmer take a fence. End of The Harmonious Heedlessness of Little Boy Blue Recording by Choby Parody Excusable Improbity of Tom the Piper's Son A Paris butcher kept a shop upon the river's bank, Where you could buy a mutton chop, or two for half a franc. The little shop was spruce and neat, In view of all who trod the street the decorated joints of meat Were hung up in a rank. This gallic butcher led a life of highly moral tone. He never raised his voice in strife, he never drank alone. He simply sat outside his door and slept from eight o'clock to four. The more he slept, so much the more to slumber he was prone. One day outside his shop he put a pig he meant to stuff, And carefully around each foot he pinned a paper ruff. But while a watch he should have kept, His habit conquered and he slept, And for a thief who was adept that surely was enough. A Scottish piper dwelt nearby, Whose one ungracious son beheld that pig, And murmured, Why, no sooner said than done, It seems to me that this I need. And grasping it with all his speed across the pond Is unbelieve he started on a run. Then turning sharply to the right, without a thought of risk, He fled, it is there to call his flight inordinately brisk. But now the town was all a stir, In vain his feet he strove to spur, They caught him shouting, Oh, l'heure, beside the obelisk! The breathless butcher cried, Ah, mort! The crowd said, Conspué! And some, ah, bah! And half a score responded, Vive l'armée! While grim gendarm with piercing eye And stern remarks about cannae, The pig abstracted on the sly. Such is the gallic way. The piper's offspring, his defeat deep-rooted in his heart, A revolutionary sheet proceeded then to start. Thenceforward every evening he, in leaders, Skazed the ministry, And wished he could accomplish the return of Bonaparte. The moral is that when the press begins to rave and shout, It's often difficult to guess what it is all about. The editor we strive to pin, But we can never find him in. What startling knowledge we should win If we could find him out. End of the inexcusable improbity of Tom the Piper's son. Recording by Ruth Golding Tale 11 of Mother Goose for grown-ups This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, Please visit LibriVox.org Recording by Gili van Walchem Mother Goose for grown-ups By Guy Whiteman Carroll The judicious judgment of quiet country marry. Though marry had the kind of face The rudas went with softly blow on, Though she was full of simple grays, Sweet, amiable and kind and so on, I would not have you understand that she was a meek. You'd be mistaken. She worked at logarithms, And her favourite essayist was Bacon. And though not positive, I think she'd heard about Savonarola And study Maurice Matlinck And read the works of Amyle Zola And Emerson's and some of Kant's And all of mine and Schopenhau's. But still she cultivated plants And spent her life intending flowers. She had a little hatch of bogs, As alias and a bat of Tanty, A double row of hollyhocks And every different kind of panty. And though so innocent of look, She'd love us by the scores and dozens, And learned by talking with the cook To tell her friends that they were her cousins. The first was French, the second Greek. The third was born upon the mercy. The fourth one came from Mozambique. The fifth one came from the Isle of Jersey. I cannot tell about the rest, But judging from their dress and faces, They came from North, East, South and West, But all of them from different places. Now, such was Mary's sense of pride, Despite as their fervent protestations, Before she vowed to be a bride, She set at them all examinations. She asked each one to tell The date of Washington and Cleopatra, Name Dickens' novels, And locate the site of Yonkers and Tumatra. But so chanced that, From a score of suitors resolute and haughty, One gained a mark of sixty-four, And all the rest were under forty. One serene alone, the rest outclassed, Because of one audacious guess he, The strict examination passed, When Mary asked the date of Cressy. The moral shows that when a maid, Her life devotes into a garden, When horticulture's skills displayed, Her heart she does not dare to harden. So, crafty suitors, Scorn the bates, And you may lay this flattering balm To your souls, If you but get your dates, The chances are you'll get the balm, too. And of the judicious judgment Of quite country Mary. Of Charles Augustus Sprague. A child of nature curious, Was Charles Augustus Sprague. He made his parents spurious, Because he was so vague. Although his age was nearly two, Eleven words were all in you. These sounded much as sounds of the Dutch, That spoke another hag. A few of his orella, Tis just a shoe to vow, He called his mother a tata, And moo he dubbed a cow. Nor was it altogether plain, Why choo-choo meant a railway train. He called a cat meow, And that no purist would allow. Within his father's orchard, There stood for all to see, With branches bent and tortured, An ancient apple tree. That Charles Augustus Sprague, My drows, his mother on its way in bows, His cradle hung, and while it swung, She sang with energy. A sound blow arising, One day the branches broke, With suddenness surprising, The sleeping babe awoke, And crashing down to earth he fared. Ah me, that I should have to tell The words that mild and genial child On this occasion spoke. His face convulsed and checkered, With passion and with tears, He blotted out the record Of both his pitchless ears. His mother stupefied, aghast, Her Charles Augustus speak at last. He opened wide his mouth And cried these ill-conditioned sneers. Sapristi accidenti! Perchance my speech is late, But be she two or twenty, An income poop I hate.  His words acquenched, Excuse my French, je dis que tu m'embêtes. The moral, common clocks we find, In silence take a silent wind, But only heroes as we know, In silence take a silent blow. And of the linguistic linger Of Charles Augustus pray. Tale number thirteen of Mother Goose for grown-ups. This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, Please visit LibriVox.org Recording by Jessica Louise. Mother Goose for grown-ups by Guy Wetmore Carroll. The mysterious misapprehension concerning a man in our town. There was a man in our town, Half beggar, half rap scallion, Who just because his eyes were brown Was thought to be Italian. And though with much insistence he said That people aired, and bitterly to Italy He frequently referred, The false report, as is the way of false reports, Had come to stay. So everyone who'd been to Rome by aid Of cooks or gazes would call upon him At home to flaunt Italian phrases. Capite questa lingua? The inquiry would be Pochissimo, benissimo, vi prego, ditemi. Siete voi contento qua, lontano dall'Italia? The victim, plunged in deep disgust, Grew nervous, could not slumber. Said he, I'm called Italian Just because my eyes are umber. And if this persecution is ever to be stopped Some stern and stoic, hard, heroic course I must adopt. And so to everyone's surprise He calmly scratched out both his eyes. The neighbour said, So strange a thing might seem to be an omen. We thought his wits were wandering, But now we know they're Roman. And so at him by legions, By bevy's hosts and herds, Professors, purists, tramps and tourists Screamed Italian words. Perceiving all he'd done was vain. He scratched his eyesight in again. The moral. If your neighbours say your one thing or another You'll find there isn't any way They're prejudiced to smother. What matter if they think you from Italy or Greece? I beg you, treasure no displeasure. Bow and hold your peace. Like Omar underneath the bow You'll find there's paradise anow. End of the mysterious misapprehension Concerning a man in our town. Recording by Jessica Louise Tale 14 of Mother Goose for Grown-ups This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, please visit LibriVox.org Mother Goose for Grown-ups by Guy Wetmore Carroll. The opportune overthrow of Humpty Dumpty. Upon a wall of medium height Bombastically sat a boastful boy And he was quite unreasonably fat. And what aroused the most intense Disgusting passers-by Was his abnormal impedance Inhaling them with high While by his kicks he loosened bricks The girls to terrify. When thus for half an hour or more He'd played his idle tricks And wounded something like a score Of people with the bricks Up across from where he sat remarked, Well, this has got to stop. Then snatching up his hat And saling out began to shout, Look here, come down from that. The boastful boy to laugh began As laughs of upbeat clown And cried, it takes a bigger man Than you to call me down. This wall is smooth, this wall is high And safe from everyone. No acrobac do what I have been And gone and done. This reviled, the other smiled And said, just wait, my son. Then to the interested throng That watched across the way He showed with smiling face Along and slender Henry Clay Remarking, in upon my shelves All kinds of coal there are Step in me, friends, and help yourselves And he, who first can jar That wretched urchin off his birch Will get this good cigar. The throng this task Is stained but through with heart and soul Till round the youth there raged A rain of lumps of kennel coal. He dodged for all that he was worth Till one bombarder deft Triumphant brought him down To earth a vanity bereft. I see, said he, That this is the cold day When I get left. The moral is that fuel Can become the tool of fate When thrown upon a little man Instead of on a grate. This story proves That when a brat imagine He's admired and acts in such a fashion That he makes his neighbours tired. That little fool Who's much too cool Gets warmed when coal is fired. End of The Opportune Overthrow Of Humpty Dumpty Tale 15 of Mother Goose The Grown-Ups This is a LibriVox recording The LibriVox recordings are in the public domain. For more information Or to volunteer, please visit LibriVox.org Recording by Ruth Golden Mother Goose for Grown-Ups By Guy Wetmore Carroll The preposterous performance Of an old lady of Banbury Within a little attic A retiring but erratic Old lady, 6 and 80 To be frank Made sources out of cranberry The town of Banbury Depositing the proceeds in the bank Her tendency to thriftiness Her scorn of any shiftiness Built a bustling business And in course of time Her secret yearnings were revealed And all her earnings She squandered in the purchase Of a horse I am not in a hurry For a wagonet or sorry She said In fact I much prefer To ride And in spite of all premonishment To everyone's astonishment The gay old lady did so And astride Now this was most periculous But what was more ridiculous The horse she bought Had pulled a car And so the lazy steed To cheer up She'd a bell upon her stirrup And rang it twice To make the creature go I blush the truth to utter But it seems a pound Of butter and thirty eggs She had to sell, of course In scorn of ways pedestrian This factuous equestrian To mark it gaily started On the horse Becoming too importunate to hasten The unfortunate old lady Plied her charger with a birch In view of all her cronies This stupidest of ponies She fell flat before the Presbyterian church If it should chance that one set A red Italian sunset Beside a beardsly poster And a plaid like any canny highlanders Beside a Fiji islander's Most variegated costume And should add a turner composition And with clever intuition To cap the climax Pile upon them all The Aurora Borealis Then veracity, not malice Might claim a close resemblance To her fall At sight of her disaster With arnica and plaster The neighbours ran up eagerly to aid They cried Don't do that often, ma'am Or you will need a coffin, ma'am You've worked your solar plexus We're afraid We hope your maritidomal Let you notice what an omelet You've made in half a chiffy It is great She only clutched her bonnet She had fallen flat upon it And answered Will you tell me if it's straight? The morals rather curious For often the penurious Are apt to think old horses of account If you would ride Then seek fine examples Of the equine And don't look on a molehill As a mount End of the preposterous Performance of an old lady Of Banbury Recording by Ruth Golding Section 16 The Quixotic Quest Of Three Blind Mice From Mother Goose For Grownups This is a LibriVox recording All LibriVox recordings are in the public domain. For more information Or to volunteer Visit LibriVox.org Mother Goose For Grownups By Guy Wetmore Carroll The Quixotic Quest Of Three Blind Mice A maiden mouse Of an arrogant mind Had three little swains And all were blind The reason for this I do not know But I think it was Love that made them so For without Demure they bowed to her They bowed to her Though she treated them all With a high hauteur She ruled them Schooled them Frequently fooled them Snubbed, tormented, and ridiculed them Mice as a rule Are much like men So they swallowed their pride And called again The maiden mouse Of an arrogant mind To morbid romance Was much inclined The reason for this I have not learned But I think by novels Her head was turned She said that The chap who dared to nap One hour inside of the farmers Trapped might gain her Rain her Holy in chain her Woo her Win her And thence retain her Hope ran high In each suitors breast And all determined To stand the test The maiden mouse Of an arrogant mind Laughed when she saw them thus confined The reason for this I can't proclaim But I know some girls Who'd have done the same As thus they kept To their word and slept The farmer's wife To the pantry stepped She sought them, caught them Out to the light And there she taught them How that chivalry often fails By calmly Cutting off their tails The maiden mouse Of an arrogant mind Treated her swains In a way unkind The reason for this is not complex That's always the way With the tender sex With impudent hails She cried, And where are your splendid tails? She jeered so Sneered so Flouted and flared so Giggled and altogether Appeared so lacking In heart that her slaves Grew bored And threw up the sponge Of their own accord The maiden mouse Of an arrogant mind Watched and waited And peaked and pined The reason for this, I beg to state Is summed up in the words Too late The moral entwined is Love is blind But he never leaves All his wits behind You may beat him Cheat him Often defeat him Though he be true With torture treat him One of these days You'll be bereft You'll find you're left End of Quixotic Quest Of Three Blind Mice Read by Dennis Sayers In Modesto, California For LibriVox, Fall 2008 Tale 17 Of Mother Goose For grown-ups This is a LibriVox recording All LibriVox recordings Are in the public domain For more information Or to volunteer Please visit LibriVox.org Mother Goose For grown-ups By Guy Westmore Carroll Tale 17 The remarkable regimen Of the Sprat family The Sprats were four in number Including twins In quilts All day Jack carted lumber All day his wife made quilts Thus heartlessly neglected 12 hours in 24 As might have been expected The twins sat on the floor And all the buttons I should state They chanced to find They promptly ate This was not meat But still it's true We did the same when we were two The wife Whose name was Julia Maintained an ample board But one thing was peculiar Lean meat She quite a board Here also should be stated Another fact His spouse abominated The very taste of fat This contrast curious Of taste Procluded any thought of waste For all they left of any meal No self-respecting dog Would steal No generous table to hope meal No donkeys packed in tins But only bowls of oatmeal They gave the wretched twins And yet little princess pampered Had lived those babes accursed Could they have fed unhampered I have not told the worst Since nothing from the dining room Was left to feed the cook And groom It seems that these domestic cruel Were led to steal the children's grill The twins all hopped And went to the dining room And went to the dining room The twins all hoped Resigning And wounded to the core Confined themselves to dining On buttons of the floor No passionate resentment The docile babes displayed Each day In calm contentment Three hearty meals they made And daily Jack and Mrs. Fratt Ate all the lean And all the fat And every day the grooming cook The children's meal Contrived to hook But when the twins grew older As twins are up to do And shoulder touching shoulder Sat Sundays in their pew They saw no Christian glory In parting with the dine And in the opera tree Drop buttons every time Said they What's good enough for Sprats Is good enough for heath and brats I most sincerely wish I knew What was the heathen's Point of view The moral Annotates abound Of buttons in collections found Thus on the wheels Of progress go And heathens reap What Christians sow End of Tale 17 The remarkable regimen Of the Sprat family Tale 18 Of mother goose for grown-ups This is a LibriVox recording All LibriVox recordings Are in the public domain For more information or to volunteer Please visit LibriVox.org Mother goose for grown-ups By Guy Wettmore Carroll The singular sang-fois Of baby Bunting Bartholomew Benjamin Bunting Had only three passions In life And one of the trio was hunting The others his babe and his wife And always so rigid his habits He frolicked at home until two And then started hunting for rabbits And hunted till fall of the dew Belinda Bologna Bunting Thus widowed for half of the day Her duty maternal confronting With baby would patiently play When thus was her energy wasted A patented food she dispensed She had bought it the day that they pasted The posters all over her fence But Bonaparte Buckingham Bunting The infant thus blindly adored Replied to her worship by grunting Which showed he was brutally bored Twas little he cared for the troubles Of life like a crab on the sands From his sweet little mouth he blew bubbles And threatened the air with his hands Bartholomew Benjamin Bunting One night as his wife let him in Produced as the fruit of his hunting A cottontail's velvety skin Which seeing young Bonaparte wriggle He gave him without a demure And the babe with an aqueous giggle He swallowed the whole of the fur Belinda Bologna Bunting Behaved like a consummate loon Her offspring in frenzy confronting She screamed herself modelled maroon She felt of his vertebrae spinal Expecting he'd surely succumb And gave him one vigorous final Hard prod in the pit of his tum But Bonaparte Buckingham Bunting He swallowed the whole of the fur Belinda Bologna Bunting Bonaparte Buckingham Bunting At first but a trifle perplexed By a change in his manner of grunting Soon showed he was terribly vexed He displayed not a sign of repentance But spoke in a dignified tone The only consecutive sentence He uttered, twas Let me alone The moral, the parent that uses Precaution his folly regrets An infant gets all that he chooses An infant choose all that he gets And colox He constantly has him So long as his food is the best But he'll swallow with never a spasm What ostriches couldn't digest End of the singular sang-fois Of baby Bunting Recording by David Federman Till nineteen Of mother Goose for grown-ups This is a LibriVox recording All LibriVox recordings are in the public domain For more information or to volunteer Please visit LibriVox.org Mother Goose for grown-ups By Guy Wetmore Carroll The touching tenderness Of King Karl I For hunger and thirst King Karl I Had stoicals turned disdain The food that he ordered Consistently bordered On what was described as plain Much trouble his cook ambitiously took To tickle his frugal taste But all of his savory science And slavery ended in naught But waste Said the steward The thing to tempt the king And charm his indifferent eye No doubt is a tasty Delectable pasty Make him a blackbird pie The cook at these words Baked twenty-four birds And set them before the king And the two dozen Odious, bold and melodious singers Began to sing The king in surprise said Dozens of pies in the course Of our life we've tried But never before us Was served up a chorus like this That we hear inside With a thunderous look He ordered the cook And the steward before him brought And with a beatified smile He's satisfied Both of these innocence thoughts Of Cynus the worst Said Karl I Is the barbarous ruffian That a songbird would slaughter Unless for his daughter or wife He is trimming a hat We'll punish you so for the future You'll know that for mercy And depart Observe that your lenient kind Intervenient king Has a tender heart He saw that the cook In a neighbouring brook was drowned As he quite deserved And ordered the steward at once To be skewered The steward was much unnerved It's a curious thing Said the merciful king That monarchs so tender are So oft we are affected That we have suspected That we are too kind by far The moral The mercy of men and kings Are apt to be Holy dissimilar things In spite of the merchant of Venice We're pained to know That the quality's sometimes trained End of the touching tenderness Of King Karl I Recording by Iswa in Belgium In October 2008 Tale 20 of Mother Goose For Grown Ups This is a LibriVox recording All LibriVox recordings are in the public domain For more information or to volunteer Please visit LibriVox.org Mother Goose for Grown Ups By Guy Wetmore Carroll The unusual ubiquity Of the inquisitive gander A gander dwelt upon a farm And no one could resist him For had he died Such was his charm His neighbors would have missed him His scorn for any loud display His cheerful hissing Day by day Would win your heart in such a way You almost could have Kissed him This bird was always Nosing round Most patiently he waited Until an open door He found And then investigated He loved to poke He loved to peek In every knot hole So to speak He quickly thrust his prying beak For what was hid He hated The farm exhausted Now said he My policy's expansion When one's convinced How things should be The proper course he can't shun His mind made up He followed it Relying on his native wit And soon had wandered Bit by bit Through all his master's mansion At least he said It's not my fault If everything's not seen to I've gone from Garrett down to Vault and glanced into The lean two In every room I've chance To stop a supervising glance To drop I've looked below, I've looked On top, behind and in Between two One thing alone He found to blame As thus his time He squandered For seeing not the farmer's Dame, into her Room he wandered And mounting nimbly On the bed Why bless my careful soul He said These pillows are as hard as lead Now how come That he pondered The farmer's Dame For half an hour had watched The bird meander And finding him within her power She leaped upon the gander Why how do you do My gander coy She shouted What will be my joy To dream tonight on you, my boy? This was No baseless slander For with a stoutish Piece of string Securely was this full tide And by a leg And by a wing Unto an oaken stool tied While pinning towels Around her gown She plucked him with relentless frown And stuffed the pillows With his down And roasted him for yule tide The moral is When you explore Don't try to be superior Be cautious And retire before Your safety grows inferior Tis best to stay upon the coast Or someday you will be like most Of all that Bold exploring host That's gone to the interior And of the unusual Ubiquity of the inquisitive gander Recording by Rhonda Fetterman


The Delta State government plans to rehabilitate the collapse of the Sega Bridge in Patani local government area by January 2024. The contracting firm, whose completion was delayed by heavy rainfall, has a short completion in January. The bridge connects Bumadi, Burutu and Ugele South, and is the shortest access to Bialsa State. Governor Sherry Vobowewery granted the contracting firm up to December 2020. The particular bridge is a strategic bridge for the fact that it leads to Bumadi local government, Burutu local government and Ugele South local government. Apart from that, it is also the shortest access to Bialsa State on this path. So it is a very strategic bridge and we are very concerned that the people of this area are predominantly Christian who want to celebrate the unity of the act of God as they did this project from being delivered as we had anticipated on the 20th. But we are sure our people, their times, prior times and all those who are applying this route that by the second week of January, his interests will be here personally, think about the project and possibly commission it. Fresh news updates.


What's going on y'all? Chris from jaskiescasebreaks.com doing a run it back 2021 prison baseball cell pack number four for an empty in the last nine spots in our 2016 optic baseball hobby box We'll get that break unlocked. They'll do our three box quick hit So we have our players Carl down to Michael one to 30 and then deep backs in the Nats Doing both dice rolls. Good luck two and one is three So a quick three times here is one here is two and here is three Carl down to George and for the teams three times one two and three Rockies down to Red Sox. All right, let's just get right down to it. All right, we're all set one to four And we go Alright Nice Blue wave 14 of 35 That's gonna go to the Phillies for Mickey Moniac and that is going to Michael Michael L Nice number rookie to get out of a cell pack. Nice little number No, we're number one over all day. Yeah, yeah Made his review debut last year So we'll factor Andre scrubbing in the championship stage Kyle Hendricks in our Bonus our red white and blues. Look at Freddie chugging along there scoring from first in the double You'll have to see it. Nice name here Chuck nasty press Brian and young and Ken Griffey, Jr. All right, so that is our pack Let's switch it over now to our names new list fresh list Nick down to Carl One to 30 are two dice Five and three is eight. So eight times. Good luck everyone nine spots here. One two three four five six Seven last one number eight good luck So it's gonna be 10 to 30 Carl down to Adam Sad times. Thanks again though. Y'all once again for getting that break filled out. Let's see our nine spots Michael L Michael L Diego Carl Diego Michael L Michael M Michael M and Carl all right our nine names from that going over to our optic We'll be right back with that y'all. Thanks for getting that break filled out once again. Jasper's case breaks dot com


Hey everybody, it's DJV and in this video I am doing an unboxing but a very different unboxing. This was a special gift sent to me by my good friend Hailey. Her studio name is HN Studios and I'll link her below. She sent me a little Christmas gift. Supposedly this is a Christmas slash birthday gift. So it's very kind of her, very sweet of her. In this video I'm going to open it on camera and film my reaction because I have absolutely no idea what it could possibly be. Oh gosh am I gonna cry because I feel like I'm gonna cry. Well there's a business card here and there's place cards which can only mean something. This is happy birthday, and Merry Christmas. I can't wait to see what you do this upcoming year. Congratulations on becoming a full-time artist. I figured it was only fair that we each have a medallion from each other. Cute. It also says I also did promise to send rocks. I don't remember the conversation. There's more than one thing in here. This is a pouch and so Hailey makes these. They're like really intense pouches. They're satin lined. They have a drawstring and they have like a tag so you can write who's in the pouch which is nice and you can put whatever you don't see need on the front in this little plastic pouch. So I'm so scared. There's like rocks. So these are like straight from Arizona rocks. They're very nice actually.  It's a big rock. Wait is this actually... I think she was saying that this is like a specific rock that they get. Okay that's cool. You could have just sent me a rock in a box and I would get excited. Oh my goodness. I'm scared. What could it possibly be? I remembered this one. Aw. I've seen this one on her page a few times. It's very sweet. It's like a little mare and baby. Needed to black which I actually really love black horses so it's so interesting because I always like post my own work and I'm like I know what it looks like in real life and I feel like sometimes the photos don't do it justice and I mean I've seen these guys in photos. Seeing them in real life is always putter I find. Oh that's so special and this is great. Thank you so much to Hailey. It's really really special to like receive fan mail or gifts from people that feeling kind enough to do that for me. Like that's really really awesome. It feels my heart with joy. I've had a few fan mail packages arrived. I hope that it's warmed your heart as much as it warmed my. Thank you so much for watching. This has been DJB.


So if you haven't checked the minecars.com please do so. There's lots of tools for you to play with and let me know what you think. Currently we're doing combining a fuzzy logic later potentially neural networks as well with the ECG game. And we can then apply it onto EEG as well. So that's the overall plan. So we are developing in the live stream. I'll share some code with you so you'll have an idea. The code is HTML code. At the bottom it has a description of what the application meant to do. But we're currently adding a machine learning fuzzy logic options to it. I'll be sharing more code. So I also have access to GitHub Copilot if it's better for you to generate prompts that I can use with Copilot to actually modify the code. The problem with that is that you wouldn't know how the code was modified. So if you prefer generating the code yourself that's perfectly fine. Can you keep responses as short as possible? Don't mind you trying to be funny at times. The following is the Waveforms.js. I'll be sharing the game logic JavaScript and the Python application script next. Instead of just selecting Waveforms randomly, you could use fuzzy logic to analyze the Waveforms' characteristics like amplitude, frequency, etc. and decide how likely they are to be abnormal. This can make the game more realistic. Dynamic difficulty adjustment. Use fuzzy logic to adjust the game's difficulty based on the player's performance. If they're doing well, the game will present more challenging, subtly abnormal. Okay, I didn't ask you to respond. I said keep responses as short as possible. Also do not use emojis as in ever. The general idea is that the front end will be generating the Waveforms. But the back end, which I'll share with you next, is used to do the fuzzy logic machine learning algorithm. So they should not know of each other. So essentially the machine learning fuzzy logic will be playing the ECG scoring game without knowing what the Waveforms are. So here is the game logic and here is the Python script back end flask application. Also again, just to be clear, the fuzzy logic meant to be playing the ECG scoring game independently from the game itself. So just getting the Waveform displayed on the screen, extracting features, which you can explain which features we are currently looking at based on the code I provided, and then making a decision as to the likelihood of abnormal ECG. If you want the fuzzy logic system in the back end to analyze the ECG Waveforms independently and assess their abnormality, let's dive into the features being extracted and analyzed based on your provided code. Dominant frequency, the primary frequency component of the ECG Waveform. It's calculated using Fast Fourier Transform, FFT, and normalized against the highest observed frequency so far. This feature can indicate the regularity or irregularity of heart rhythms, positive peaks, the count of peaks where the Waveform goes above a baseline. This reflects the number of upward spikes in the ECG Waveform, which can be indicative of certain cardiac events. Negative peaks, the count of peaks where the Waveform goes below the baseline. Similar to positive peaks, but for downward spikes, amplitude, the difference between the highest and lowest points of the Waveform. This can indicate the strength or intensity of the heart's electrical activity. The back end uses these features to assess the likelihood of abnormal ECG. Fuzzy sets and rules are defined for each feature, which helps in evaluating the overall abnormality. The system calculates a score that represents the likelihood of the Waveform being abnormal. The system works independently of the game's user interface. It receives a Waveform, processes the features, applies fuzzy logic, and returns an assessment. This assessment is the independent decision about the Waveform's abnormality. Integration with front end, ensure that the Waveform data is correctly sent from the front end to the back end for analysis. Improving feature extraction, you may refine how features are extracted or add new features for more accurate analysis. Tuning fuzzy logic rules, adjust the fuzzy sets and rules based on real ECG data or expert input to improve the accuracy of the abnormality assessment. The normalized amplitude is missing. Also, can we make sure the raw positive and negative peaks are correct? There is a potential issue with a DC offset of this signal. Can you check what the DC offset is? Pretty sure it's just sitting at 300 for whatever reason. From this line, does it mean the DC offset is 300? Should we just subtract 300 when doing the analysis? We're already doing it, that's fine. So for the normalized amplitude, can we use this as a prompt for co-pilot? It's taking 367 lines of code, giving me general examples why do we have a normalized function? This one, I like how this is working, because essentially things should be normalized differently in different places. I'm trying to restructure the whole thing. So essentially, we have a global amplitude. Well, it's not working correctly. Wait, maybe this. So when we have 349 as the raw amplitude of the signal, it's been normalized to 1. If it's 288, it's been normalized to about 0.6. Yeah, when it's 199, the normalized amplitude is not returning anything, which is not right. And code is a bit complicated too, complicated. Otherwise it looks correct. So if 349 turns into 1, there was a 300 as well turning into 0.8 or something. And we have the measure of abnormality, which is actually the opposite. It goes the higher the number, the number is the more normal, the ECG complex, maybe. Check, we already have that. So we do correct for the DC offset in the original waveform by subtracting 300. Now, get this couple of things. So from the back and we receive all the features and the settings, all the feature calculations and the settings of the fuzzy logic algorithm. Can you list them because we want to display them somehow on the front end? Can you keep responses short? Also, don't mind you to be funny at times, but definitely no emojis. Now the raw negative peak doesn't seem to be correct. Raw positive peak is fine, but the raw negative peak is displaying 2 instead of 1 most of the time. Can you look at the code? I said no emojis and quick responses. Why can't it work? Right, but it's fine. Over here, can we load X and O? Right, well that's wrong, isn't it? Okay, now I get it. Let's print screen this quickly. Check out the image. The negative peaks should not be negative peaks if the peak is at zero Y axis value. Let's see if it can correct the code. Right, I think this height should be 1 and minus 1 or something, so it doesn't detect zeros, is it? So that the peak should be 1 and minus 1. Right, so that one negative peak, that's wrong, should be at zero. Okay, how the height works again? The image should be zero. Is it originally suggested? No, so we have the positive peaks are working okay, there are three, the negative peaks are two. Okay, I think it means understood what I want. Right, because that's the inverted negative data, so it should be both one. This should work. Right, zero, yep. And three, that's correct. One negative peak, yes, that's right. One, that's correct. Two and one, that's right. Next one, three and one, one, two, three. And one negative peak, that's right. Just checking the, waiting for the zero. Let's just double check. Normally, I think they are 60, 40, I think it's the ratio of abnormal to normal. Right, so that one zero. Now the abnormality score is 0.6 and 0.8. That works really well with both heights being one, moving on. Can we double check that and confirm? I suspect the abnormality score is essentially reversed. So the higher the number is, the more normal the signal the ACG waveform is. Can we confirm that? Also, can we confirm? Yeah, so that's wrong. 0.5 for normal ACG. So that's not quite right. We need to fix that. A longer term on the front panel, we want to be able to display all the details about how the fuzzy logic algorithm is making the decision. That will include all the membership functions, the activation function and the rules. So all the fuzzy vacation and the fuzzy vacation process. Yep, let's see if it gets those last two words. Obviously the text to speech is not getting it. Let's go over the membership functions. So ideally we would have a graphical display for essentially designing a fuzzy logic system. Not sure how difficult that will be. So currently we have those fuzzy variables that we need to check. So we're looking at the frequency amplitude. Let's rearrange that. So we're looking at frequency, amplitude positive peaks, negative peaks, and the output is normality. It's using a centroid. I think they're all using centroid method. That's default. It's wrong. Yeah. Cooper doesn't really understand what's what. She's a bit of a shame. So we have the membership functions where positive peaks. We have a start-stop step. Okay, we have zero to five in steps of one. Can you explain the fuzzy logic analysis part of the code? Make it as specific to the code as possible. Keep it brief. You can make jokes if you like. But no emojis. Your fuzzy system is like a nightclub for data points. It's all about where they fit in, how they interact with the rules, and what score they leave with. Now, if the output is acting tipsy and saying normal when it's not, you might need to have a word with the bounces, membership functions, or check the club rules, fuzzy rules. When I said no emojis, I meant it like just don't use any emojis whatsoever. Okay, so for normal signal, normal ECG, I get the following analysis result. Can we get the most important feature is the number of peaks, number of positive and negative peaks. So we need to get those membership functions absolutely correct. Then the frequency and the amplitude. Okay, frequency doesn't seem to do much at all. It's really just changing between three and five. I'm thinking dropping or replacing that feature with kurtosis or what was the other option. Now the amplitude is important in a sense that for example, if we have three peaks, three positive peaks, then the second one should be much higher than the first and the third. Right, but then we could be missing the first or the third. So this might not help much. What do you think? So one thing I'm trying to understand if abnormality is meant to be between zero and one, steps of 0.1, that's fine. Normal ECG is 0.5. This one actually does go low, which is interesting. So it's essentially 0.5 is normal like this one. And then anything else is abnormal. Yes, we have the membership functions for abnormality, unlikely, possible, likely. Yes, so that's wrong. Right, so the rules. Let's go over the rules. We have too many rules. Well, in general, and in this code, too many rules. That's the problem. So positive peaks, we have too few, too many. When we have a line like this, what does it mean for the abnormality value? Because currently it's pretty, I'm pretty certain that 0.5 abnormality value is normal waveform and anything else is abnormal. And the abnormality peaks, that's the ID. Obviously should have it in the fuzzy logic showing data abnormality. We have abnormality mentioned 30 times. There's a return. We have two returns. By the way, I don't even know why. One in fuzzy logic analysis and another in process data. So in the JavaScript, it should have the bottom somewhere. We have analyzed waveform, post request, FH. Yeah, I'm not even sure how the thing works. But let's go back. What's important is those rules. That's in fuzzy. That's nice. The structure of the thing. I never realized it's actually there. That's how little I know. Well, in this case, Visual Studio Code. This will show you all the structure. Don't like those global variables. Make some of them. That's then also why they are defined twice. Okay. And frequency, by the way, is not, again, not giving me anything. So I might keep it and add kurtosis as an addition. We'll just keep it simple. Right. We were going over the rules in what they are as logic analysis. Yeah, these rules. So I have seven of them. This normality control shifts. So abnormality analysis compute. Computes the fuzzy system produces an output called abnormality. And she would go over the whole project quickly. Should we get the GPT-4 to do it? I mean, we could get the GitHub compiler to do it, but it's normally hopeless. Can we explain the abnormality analysis variable co-pilot? Explain these. Okay. The abnormality analysis is the name of the code referred to variable. That could. Why could? I'm asking for like specific stuff. Yeah, co-pilot. Hopeless. Can you explain this line in the Python code and generally the abnormality analysis variable and how it's being used? Don't mind you trying to be funny, but keep it short and no emojis. Yep. I think it's joking when I say no emojis. So this line here, I understand it's giving me the result of the fuzzy logic analysis. What I don't understand, for example, is why it's returning 0.5 when the ECG signal is normal. No, the centroid should be fine as the classification method. Can you explain these rules one by one? To understand one when it's normal, the abnormality is sitting at 0.5 considering. Yeah, we need to adjust some of those. So that's obviously abnormal. That frequency there goes to 5. So it's normally 3 at 0.6. So that's k. That's missing that bit. Right. So this is the normal ECG. This is an example of normal ECG as analysis result. So isn't it okay to have an abnormality score of 0.5 for a normal waveform? What do you think? So, should you accept a score of 0.5 for a normal ECG? If I were a DJ spinning tracks at the fuzzy club, I'd say we need to remix those rules and membership functions until the system is grooving to the beat of normalcy without missing a step. Okay, can you regenerate this function adjusting the membership functions? The frequency seemed to be 0.6 for normal. But can we change it so that the frequency membership function around 0.6 is considered normal and anything else is likely to be abnormal. For positive peaks, make sure that the number of 3 is normal below or above that should be considered abnormal. For the number of negative peaks, 1 is normal. Anything else is abnormal. If the number of negative peaks is 0, it is highly likely to be abnormal. And if the number of positive peaks is 1 or less than 1, it's also likely, highly likely to be abnormal. Here is what I currently have for the code. Just in case you don't already have it, can you suggest modifications or even better, regenerate the whole function? Yeah, I like that. Don't like the positive negative peaks, the number being increased, it's already high enough at 5 and 4. That should be fine. Don't expect the normality to have that line somewhere. Let's go over it one by one. That's okay, positive peaks. Positive peaks change it from 0 to 6. I don't expect it to be that high. Let's go with it. Then we have abnormality. So we have abnormality, then we have... Okay, let's do frequency next. Right, so as we said, around 0.6 is normal. So those names would be important. Then we have positive peaks, too few, normal, too many, 0 and 2. Positive peaks, too few. Yeah, that sounds legit. Yeah, that should be between 2 and 3 is normal. And 2 and 4, yeah, 4, 5, 5 is the end of the membership function. Okay, that makes sense. Then negative peaks, so too few, 0.5, 0.5 and 1.5. Should actually be 2, but should be 2. Yeah, 3, 4 is way too many, but 2 should be normal. Yeah, we have problem with amplitude. Now abnormality, unlikely, possible, likely. Now the rules might not have any rules for amplitude. Just to trick the system. I think that's what it removed, didn't it? Yeah, it is tempting to remove amplitude for now. Okay, positive peaks, too few, too many. A frequency normal, frequency low, high, abnormality possible. Should be likely. Those will be old rules, but we also need 1, 2, 3, 4, 5, 6, 7. Frequency, need the amplitude. Yeah, we need this as rule 7. If the frequency is high or the amplitude is low, as we have abnormality analysis, it's the same. Yeah, we're doing that scale check, we don't actually need to do it. Yeah, we don't have that problem anymore. Shift, yeah, we have an amplitude normalized. We have an amplitude printing the result. Okay, having an error at 500 error. Let's do the options. It's like the medium, not using medium. Okay, it's how we name things using medium instead of low, normal, high. Don't actually see medium. Is it frequency? Yeah, we're using low, normal, high. Okay, we have to fix it next time. And we'll be testing next time as well, probably tomorrow. So I'll see you. Let me know if there is any questions. Please pop them in the chat. Do go check out by AnyCase.com. You can provide feedback on any of the tools that are currently there. See you next time. Bye.


But nothing like a good warm up to do the heavy theory that follows. So we have been doing these 4 problems in the last lecture. We will continue with this, remember we computed some powers here. So we computed power of 13 and power of 3 modulo various numbers. We computed a product and we also looked at a division. After this, these are all basic operations that we have defined, so these 4 are done. After this, I want you to think about this problem. Prove that 6 divides a into a plus 1 into 2 a plus 1 for every a in n. So if you take the product on the right hand side, then this product for any natural number a is always a multiple of 6. This is the problem that we should think about now. So I will give you 2 ways to do this. First of all, there are 6 residue classes modulo 6, namely the class of 0, 1, 2, 3, 4 and 5. And we let a polynomial fx to be this polynomial x into x plus 1 into 2x plus 1. What we have to check is that for every class a modulo 6, f of a is congruent to 0 mod 6. This is what we want to check. So we simply put various values. So we check that f of 0 is of course 0 into 1 into 1, this is 0 mod 6, that is good. Let us look at f of 1, this is 1 into 1 plus 1 is 2 and 2 plus 1 is 3, which is 6 and 6 is of course 0 mod 6. So for the class 0 and for the class 1, we do indeed have that the polynomial fx, which is x plus 1 into 2x plus 1 evaluated at these 2 classes gives you 0. So already you have proved the result for one third of the natural numbers. Any natural number which is congruent to 0 mod 6 has the property that 6 divides that natural number into that natural number plus 1 into twice of that natural number plus 1. So whenever a is 0 mod 6 we are done, whenever a is 1 mod 6 we are done. Now we are left with 4 residue classes. So let us look at those as well. So we will check, 0 is done, 1 is done. So I need to check what happens when we put the value of 2. So this is going to give you 2 into 3 into 5, which is 30 and of course this is also 0 mod 6. Class of 3, this gives you 3 into 4 into 7. Since here already we have 12, which is 0 mod 6, we get that this is 0 mod 6, then we take the class of 4 which gives us 4 into 5 into this quantity will give us 9. So the product of these 2 is 36 which is 0 mod 6, therefore the whole thing is 0 mod 6 and finally we compute the value of the polynomial at 5. So that we have as 5 into 6, there is already a 6 coming here. So because of this we get it to be 0 mod 6. That is it. We had a problem to be checked for all natural numbers and by doing the arithmetic modulo 6, it has been reduced to doing the problem for only 6 classes. Some of you may have some more ideas of doing this problem. So let me tell you one more thing. So observe that 6 divides some integer alpha if and only if 2 divides alpha and 3 divides alpha. So it would be enough to check, so it is therefore enough to check that fx which we have defined to be x, x plus 1, 2x plus 1 takes 0 value on all residue classes and mod 3. So earlier we observed that we had to do only 6 checks because we were working modulo 6. But this observation tells you that all you need to check is modulo 2 and modulo 3. Modulo 2 there are 2 checks, you will put the value 0 and you will put the value 1. Modulo 3 there are 3 checks, you will put the value 0, you will put the value 1, you will put the value 2 and since x divides the polynomial fx, for 0 you are always going to get 0. So actually you have to check only 3 cases, 1 modulo 2, 1 modulo 3 and 2 modulo 3. So the whole problem of checking over all natural numbers is now reduced to checking some very simple equation. So this also tells you something which I would like to encode in the next problem. Suppose we have the following prime factorization for n. So n is p1 power n1 into p2 power n2 dot, dot, dot pk power nk which we write as product of pi power ni where i goes from 1 to k. Then a and b modulo n are equal if and only if a and b are equal modulo pi power ni for every i. So this proof is actually similar to what we have done in the previous case. So we need to prove divides some number a if and only if pi power ni divides a for every i. This is the thing that we have to prove and if and only if means that we will be able to break this statement into 2 parts. So what are those 2 parts? Let me explain it to you with this. So first of all there are 2 parts, there is this and then there is this. So when we talk about a statement being true if and only if some other statement is true, you should be able to read it in the following way. We read it as n divides a if pi power ni divides a for all i. This would be one part of the statement. What it means to say is that, so let me write this statement down. n divides a if pi power ni divides a for all i. So we will then have to prove that whenever this condition holds for all i pi power ni divides a, then n must divide a. So we will assume this part and we will prove this part. This would be one part of proving this if and only if statement. But then there is the other part which is the only if part. So how do we read the only if part? That would mean that n divides a can happen only when this happens. If this does not happen, then this does not happen. So whenever this happens, we should be able to prove that this happens. So there are 2 parts to proving a statement of the part which has if and only if. And we will here be proving both the parts. So the simpler part is that whenever n divides a, pi power ni divides a. We will prove this statement. But this is quite easy. This holds because pi power ni that itself divides n. So we have here that you have this division pi power ni divides n and n divides a. Then of course you should have that pi power ni should divide a. The non-trivial proof although it is also not very difficult is to show that the other implication holds which is to say that when we have pi power ni divide a for every i, we will have to prove that n divides a. So assuming n equal to p1 n1 pk nk and pi power ni divides a, we want to prove n divides a. This is the thing that we want to prove. So this is of course we have for all i. So whenever pi power ni divides a for every i, we want to prove that n itself divides a. So let a be equal to ai into pi power ni or we begin let us say with the first among the primes. So we have a equal to a1 into p1 power n1. So we also have that p2 power n2 divides a. Since we have this for every i, we have also that p2 power n2 divides a but a can be written as a1 into p1 power n1. Now what we observe here is the following thing. Since p2 power n2 divides a, we also have a to b a2 into p2 power n2 or in general we have that a is ai into pi power ni. So since a is ai into pi power ni for every i using the prime factorization ai, we get prime factorization with pi power ni appearing in it. So therefore if a equal to p1 power m1 pk power mk q1 power l1 qt power lt is the prime factorization. So what we are doing here is that we are considering the prime factorization of a into product. So we are factoring a into product of primes and collecting all primes which are same together and so we can put them in the power of p1. So these p1 p2 pk power m1 m2 mk ds mi can be 0 to begin with. We will assume if some pi does not appear in the prime factorization of a let that be 0 but because we have that this pi power ni appears in some factorization of a and further we also know by fundamental theorem of arithmetic that the factorization is unique. So it will tell you that pi power ni should occur so we that mi is bigger than or equal to ni. You may have p1 appearing with some more powers in the factorization of a but what we do know is that p1 should appear with the multiplicity n1 or more. So you have that for each i from 1 to k the prime pi comes with multiplicity at least ni or perhaps more. So this is thus n should divide a because we have that the p1 power m1 up to pk power mk will have p1 power n1 p2 power n2 pk power mk appearing there in the prime factorization of a and that then tells us that n should appear as a factor of a and therefore we have that n divides a. So if we were to go back we have that whenever n divided a we proved that pi power ni divides a and then we assume that pi power ni divides a and we proved that actually we have that n must divide a. So now I will go to the next problem which is to look for solution of a polynomial among the set of natural numbers and here we have this problem prove that f of x which is x to the 5 minus x square plus x minus 3 has no integer rule. So we want to prove that there is no integer a such that f a is 0 for this polynomial f. So if you had that there was a solution to this if f a was 0 for some a in n then f a should be congruent to 0 mod n for every natural number n therefore if you could show if there is some n naught in n with f a naught being congruent to 0 mod n naught for any a modulo n naught then f a is never 0 we have just twisted this statement and put it in this way. If you have a statement that f a is 0 for some a in n then for that particular a f a will give you 0 congruence class modulo n for every n and therefore if you can find an n naught such that there is no 0 for the polynomial f modulo n naught then the polynomial f cannot have a 0 in n. So for us to show that this given polynomial x to the 5 minus x square plus x minus 3 has no integer root we need to only show that there is some n naught for which we get no root and we will take that n naught very cleverly. So we say that take n naught to be 4 let us do the calculation for every residue class modulo 4.  So 34 minus 4 which is 30 minus 3 30 minus 3 is 27 which is equal to 27 but you can as well put congruent sign modulo 4 you do not get a 0 this is actually congruent to 3 mod 4 and finally when you compute f of 3 you get 3 to the 5 so 3 square we are looking at it modulo 4 3 square is 9 which is 1 modulo 4 so when you want to compute 3 power 5 this is 3 square into 3 square into 3 so you get 1 into 1 into 3 so the ultimate answer is only 3 minus 3 square which is 1 plus x which is 3 minus 3 so you get 3 minus 1 which is 2 plus 0 so you get this to be 2 modulo 4. So we are not getting 0 mod 4 for any of the residue class mod 4 and therefore here we have no solution modulo 4 you may wonder why I took n0 to be 4 and y0 2 or 3 so it turns out that modulo 2 and 3 there are actually solutions for this polynomial this f has roots modulo 2 and modulo 3 how do we check that so if you are considering modulo 2 let us look at f of 1 this is 1 power 5 minus 1 square plus 1 minus 3 which gives you minus 2 which is 0 mod 2 so 1 is a root for the polynomial f modulo 2 and if you are looking at modulo 3 then consider f of 0 which is simply minus 3 which is 0 mod 3 and of course if you were to look at n equal to 1 everything has a root modulo 1 every polynomial with integer coefficients will give you the value to be an integer and any integer is divisible by 1 so you will always have roots modulo 1. So what we have observed here is that the cases n equal to 2 and n equal to 3 would not work for us you do get a root for the polynomial f modulo 2 as well as modulo 3 so we have to go to the n equal to 4 to check that there is no root sometimes you may have to go very far to prove that some polynomial does not have a root you will have to take a very large n to show that there is no root so whenever you get a root to an integer coefficient polynomial over some residue classes modulo n do not assume that there is a root always do not assume that there is a root in integers there can be polynomials which have roots modulo every n but there is no integer root we will see one such example in the next lecture but proving that will require some higher theory however I will just tell you that example and then we will go to some more discussions thank you.


The real question is, is our car still here? It is! Woo! Look where I parked my car. This is the most shady location ever. I parked it here two days ago and it's somehow it's still here and no construction person has moved it. I think it's because it's holiday weekend. Look at this. I'm gonna have to move this cone to uh... Hope they don't care. Now we're good. Now I can't give in. I think we're good. All right, so it is July 4th by the way. So happy July 4th for those who celebrate it. We are just arriving in Queens to spend the day here with... Lookit. That's my mother-in-law who's now in the vlog. Uh, we just came here to spend July 4th with her. Which is funny because it's been basically a year. I remember doing this last year. Do you remember that? Yes, we were in Queens last year. We're here last year. Was I working on... I don't know what you were doing. But I was here last year and I remember filming it because I remember filming the fire. Do you remember at all? I was. I remember filming the fireworks. As I dropped the camera down it was like a transition. That's why I remember it. That was like a year ago. I'll see if I can find that vlog up here. Anyways, we're here in Queens spending July 4th here with the family. And hopefully you all are having a good July 4th as well. By the time you see this video it'll be well past July 4th. But what can you do? Time to celebrate and eat. You know what's really nice is when you live in the city you can't carry all of this water, all the bottled water. So mother-in-law always gives us like three packs, 24 packs of bottled water. It's a life changer. New York problems. Also the one thing I didn't know is that you have to put on plates front and back in New Jersey. But I'm going to put these plates on and drown his car right there before we brunch. Does it matter which plate goes on the front versus the back? Let us not forget the back. So it is now the next day as you can probably tell by the outfit change. But she's gonna look up here. Oh I did. It's the next day. It's July 5th now. We are going out to brunch with a few friends of ours. We had a good time yesterday. Yeah? Good. Just filmed another video which will be released before this one. And Jirana is filming her first video. Tomorrow. Tomorrow. Someone's a little nervous. And we'll probably be filming our house tour. Yeah that'll probably be up before this I think. Right? Yeah. So house tour coming. I mean our apartment tour. Oh yeah we definitely don't have a house. I can't believe we spoke about this like a year, it was like a year ago. And now we're moving out. Pretty much a year in the works here. We're moving out. We'll go grab something to eat with friends. Paola and Andrew. Brunch. Cocktails. And enjoy our last week in New York City. Oh my gosh that's so sad. It's very sad. We have to hit up all the places. All good things must come to an end. Hey say hey. Why is this not coming up? Okay. Okay so by now you've probably seen the title of this video that I got worse news and this whole moving situation has gone from bad to worse and I got this email on my phone telling me the bad news so let's just share it with you since it's at the middle slash end of this vlog and here it goes. So if you saw my previous vlog I mentioned that I start work on the 12th of July and that I can't move into my apartment until the 15th of July. Basically I have a little discrepancy from when I started my job until when I can actually move an hour and 20 minutes away to where I'm moving. Which is fine right? I'll get a hotel room for a few nights. No big deal. Costs a little money but at least I'll be close to my job and not be late on like my first day. But the main reason is I don't want to commute an hour and 15 minutes each way and also what you may not realize in the Northeast you have to pay tolls and it ends up being like $40 per day just to go back and forth from Manhattan to where my job is. So that adds up plus a hotel room when you end up spending $1,000 for a few days just trying to live close to your job. So how did it get worse than it already is? Well, we got an email just a minute ago saying that the water pressure and the sprinklers of my new apartment does not meet code and they cannot get a certificate of occupancy until that water pressure for the sprinklers is at a certain pressure. Now they've pushed back the move-in date even further because we have to wait for the city which takes forever as you know to make up the pipes outside of the new apartment building see what's going on, troubleshoot see if there's a clog somewhere see if they need to add another pump to the sprinklers and it's become a whole kind of mess plus it's raining every day because of the hurricane that's now traveled up north and it's just a disaster. So the property told us that we may not be able to move in until the end of July worst case scenario but we shouldn't bank on it and it may actually be pushed into August. So this is kind of a huge headache, right? So I'm supposed to be out of my apartment in New York City soon and if I start going into August I have nowhere to put my stuff I don't mind the commute as much but I just have nowhere to put my stuff and all of our whole apartment which you've seen on my apartment tour what do we do with all that furniture? I guess I'd have to put it in storage for like a few days and then move it to my apartment as soon as it's ready It's just become a huge hassle and yeah it's just an added stress it's already stressful enough starting your first job attending a physician outside of residency and fellowship but added this whole extra stress of commuting more costs we don't even have a place to live right now it's just extra stress that I don't need at this time but I'm gonna stay positive because I'm hoping that sometime next week they're gonna tell me that it's all good and dandy and we can move in and we'll go from there but until then I don't know what the heck I'm gonna do but I'll tell you as soon as I know So this is a super random block but sometimes you guys like this so I figured I'd just film it because you want to see my life outside of normal videos and outside of work so here you go, this is me Smash the like button, follow me on Instagram and TikTok if you don't already and I'll see you in the next video hopefully I probably won't be in a new place yet but hopefully it'll come soon we'll see, bye


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Hi, my name's Leon Rowe currency trader and trading coach at trading 180.com and in this video I'm going to be talking about understanding risk sentiment, you know risk on and risk off, you know, what is it and the environments and the triggers really of risk on and risk off and you really as a trader have to be aware of when an environment is more risk on or more risk off because really money flows into and out of certain asset classes depending on What environment we are in so first of all, what is risk on and risk off and according to investopedia? Risk sentiment right which is risk environment as well. It can be interchanged It says what asset prices ultimately detail the risk sentiment of the market? Investors can often find signs of changing sentiment through corporate earnings macroeconomic data Global central bank action and statements and other factors. So risk on environments Yeah, I you are sorry are often carried by a combination of expanding corporate earnings optimistic economic outlook accommodative central bank policies and speculation we can also assume that an increase in the stock market is a sign that risk is on as Investors feel the market is being supported by strong influential fundamentals They perceive less risk about the market and its outlook conversely risk off Environments can be caused by widespread corporate earning downgrades contracting or slowing economic data uncertain central bank policy a rush to safe havens and other factors just like the stock market rises relating to a risk on environment a drop in the stock market equals a risk off environment that's because investors want to avoid risk and are averse to it so risk on Is when traders want to put more risk on the table? Yeah, and risk off is when traders want to put you know take risk off the table depending on certain environments, right and so When Thinking about risk on and risk off. It's not necessarily a binary State, it's not either risk on or risk off Think about risk on and off as more as a scale So a scale would be something like maybe one to five or you might have a bit of a neutral so you might have more Dream ends yeah where this and here is more of your or the middle is more of a neutral right bias and You have for example, that might be zero story that I think about it Yeah, and let's say for example, that is extreme off and that might be something like, you know make ten Right, that might be random ten here extreme off and this would be for example extreme one, right? so This is off And this is on now depending on the actual environment and what is causing the Risk on or risk off for what the what event is triggering Will depend on how much I guess the market sees The extreme of the risk off now I guess to compare or to an in recent history The most recent extreme risk off event. Yeah, it would be something like covid that would be an absolute extreme ten Yeah, the Russia Ukraine war would be something that would be very similar to the To to covid as it did it has affected various regions of the world not just Russia and Ukraine But all the surrounding countries even you know in Europe and even the US and the UK right And risk on would be more of a favorable environment when there's really no risk events or everything is pretty much Hunky-dory, right as you say, so Whenever we're comparing new risk events best thing to do is to think about the most extreme risk off event and compare, you know the Risk event that is happening to the most extreme events most extreme events would be for example Well, our major risk off events would be again covid locked down something like the Ukraine war Recently we've had the SVB and other I think silver bank bank and the fear was collapse such to say and the fear was that the the banking sector Collapse may have been systemic similar to what happened in 2008 so 2008 was a Would be a very extreme Risk event something like brexit for example was quite extreme as it affected not only the UK But trading relationships, you know around the world in Europe right and so again as I say compare If you're looking at You know the degree of risk off and where are we it is? You know quite subjective, but if you kind of compare it to the most extreme Risk off events that you've had in recent history or over the last, you know, 10 15 years is the current Risk off event that we may be experiencing in the financial markets Is it comparable to the most, you know extreme event? And if it isn't then you can kind of place it maybe four five sixes etc around there Or maybe what just one twos and threes right? It could be somewhere around there again It is it can be a bit subjective, but at least it gives you a rough idea as to how extreme it might be And one of the things that we have to be aware of is, you know, the papers sensationalizing risk events But always know that risk events no matter how bad they get will always be priced in meaning that the market will eventually reach evaluation as to you know what the the effect on the risk event will have on asset prices, so think about for example The recent Russia-Ukraine war right now when it first started in around February March times Last year. This is the dollar Russian ruble. We had the Russian rule will absolutely Devalue against major currencies like the dollar but eventually that was The event was eventually priced in in terms of how bad was The Ukraine war on the Russian ruble, right? There are many different factors, but ultimately The risk event gets gets priced in if you go to and if we go to somewhere like the something like the Let's say we go to was again or any currency and we go back to 2020 we look at the risk-off Event which was COVID eventually it got priced in To the point where The market started to forward think and this is what the market does the market thinks forward and into the future and thinks okay, this risk event will it last forever or how long will it last and What are the future valuations if it doesn't last or if we come to some sort of conclusion and So as bad as risk events tend to be they typically a get priced in and then be what then gets priced in is I guess the solution right and moving forward and how we move forward as Either a country or you know as a as a as as the world, right and our ability to Overcome certain issues and problems. For example, you know, is there you know peace in the world, etc. Etc. So You know that is really It's really important to understand that that Risk of sentiment. Yeah can drive prices to actually where you want to be a buyer Because once the dust settles, yeah, once the risk of dust settles Eventually what will happen is is that investors will start to then Look for bargains, right? They will accept the fact that price for this, you know asset in a risk-off environment is this but what happens when in fact risk becomes more on That asset then starts to become or look like an actual bargain and then buying You know typically tends to happen and again going back to the chart That's really what happened with the Australian dollar. Typically the The Japanese yen is seen as a risk-off currency And we were still in the grips of covid even into May June July by the end of the year But what was driving the Australian dollar higher against the Japanese yen, which typically shouldn't happen Was several factors. So one of them was an impending vaccine right that was You know a resolution to Covid also as well the fact that Australia handled the Covid lockdown better than most countries and they were seen as actually Growing first one of the countries that would probably end up growing first In terms of GDP Whereas a lot of other countries didn't handle the Covid lockdown very well Japan being one of them and so the market was more forward-thinking even though Covid and fear of Covid and Covid spreading and different variants were coming out The market was forward-thinking in looking at solutions and resolutions and comparing the Australian economy to the Japanese economy all right, which wasn't doing too well and so again going back to Understanding that risks of risk-off events would eventually be priced in and also it gives investors an opportunity to actually buy Undervalued assets, whether it's stocks, whether it's exchange rates, etc Now how to know when the risk-off or risk-on Sentiment Sorry, let me just read that again. So how to know when risk is off or on and to what degree right and that's really the key question and It will take some time for you to an experience for you to really kind of get a grip on it And even then it's very it's quite hard to do But you know your best educated guess is that you want to look towards Publications like Bloomberg or the Financial Times or Reuters and actually look at the front pages Why the headlines and so you know today is Monday the 3rd of April and We look at the front page of the news and we have for example The recent news is OPEC makes shock million barrel cut in new inflation risk and inflation crisis pulls European countries into a food fight Putin's war may be reaching pivotal moment ECB wants of risk posed by One trillion real estate fund, etc, etc, right? But notice what we're not seeing on this front page, which is although, you know, the news is here to sell You know doom and gloom Certain times what we're not seeing is the recent risk Event crisis, which was the banking collapse, right? So You know in terms of, you know SVB Bank Being systemic, right? We've got other Issues going on and so when we had the SVB Bank bailout Deutsche Bank being bailed out by UBS, etc. And the issues those banking You know Giants had It would have been it would have looked The front page of Bloomberg was looking very, you know, one-sided in terms of there was just a one-way story Yeah, but now you have various different stories And so when you want to understand okay, well is one headline dominating the risk on a risk of sentiment and how severe it is look at the variety of The stories on the front page of any major news publication if it's more varied probably means that risk is Less off. I wouldn't say it's necessarily on because I think it's ever going to be a time where there's nothing to really kind of worry about Right again. Good news doesn't sell but to the varying degree of You know certain risk events If it's really kind of focused and concentrated on one story or maybe one or two stories Then you know that you're probably more in a risk-off Environment and at the market is really focused on that narrative rather than Okay, the varying degrees of stories from around the world. Yeah, that will probably mean less Risk-off. Yeah. So again, we you know draw as a scale understand it as a scale. Yeah where you have Varian degrees of risk on and risk off Like this being risk off this be probably more neutral if you have more Varied news on the front pages of you know publications like Bloomberg what is financial times? You're probably maybe somewhere towards risk of miss risk Probably more neutral right and again It depends on the quality and the actual incidences in the that are happening right but if you have one tend to have one Soul event that the market is focused on and also as well, you know You go to Bloomberg financial times and lawyers and they're all talking about the same things, right? Every every news publication is focused on this one news event then It's likely that you're probably looking at more of the extreme end of the risk off Scale yeah, and so that For me is how I also I Understand, you know where I am in a risk of sentiment also finally one of the things I didn't I didn't cover Sorry was price does not lead with sentiment and what I really wanted to say with that is that Many traders believe that if let's say, you know, we know that the stock market tends to rise in a risk On environment. Yes, so which means that? Investors are looking to take risks and put market and to get you know bigger returns, right? So When the stock market starts to rise That would mean risk risk on and if the market start to pull back then that would mean risk off then that would mean risk on then that would mean risk off and really you can't and you shouldn't Determine whether risk is on or off based on what price is doing because price can trend Right prices can pull back in a risk on environment and they do pull back in a risk on environment in the same way that if you have a risk off environment, yeah Prices can pull back Yeah, prices pull back for varying reasons for liquidity reasons people taking profit, you know, etc. So it's not, you know, one day on one day off one day on one day off because prices are going up and down You have to take your cues from actual actually reading the media I know there's going to be a lot of news a lot of a lot of noise Sometimes in the market, but this is a skill that you have to develop is to learn to filter through the noise As I said before previously understanding whether the narrative is on all Publications or is it actually now a situation where the narrative And news publications are not Focused on just one main news story and in fact they're focused on very in various news stories Also as well, of course, it can be more nuanced because the news stories could also definitely still affect the stock market and it also depends on the the news stories itself, but from a risk on and risk off and how extreme we are and a risk on and risk off environment, just know that you know, it's It's the narrative of a single narrative or many narratives also as well. It's important to Keep in mind that risk off will eventually be priced in it will eventually find its value in a risk-off environment and then eventually depending on obviously the risk The risk event You know the market will start to forward dink and start to say, okay Well, is this going to be a continuation? How long is this likely to last if it's not likely to last that long then they start to buy or sell Go long or go short on that narrative against actually risk off sentiment. All right guys Hope that helps take care and speak soon