The Chaos

The Chaos

The pronunciation challenge poem has been circulating again on Facebook. I tried giving my chance of reciting this piece and recording it being exposed to unfamiliar words that I barely use. Mind you that I am wearing elastics between my upper and lower braces so this is harder for me.

I made sure that I deliver the diction as clearly as possible. When I played it back, I heard a lot of mispronounced words, but I think I delivered most of the words correctly.

How about yours?

The Chaos
by G. Nolst Trenite’ a.k.a. “Charivarius” 1870 – 1946

Dearest creature in creation
Studying English pronunciation,
I will teach you in my verse
Sounds like corpse, corps, horse and worse
I will keep you, Susy, busy,
Make your head with heat grow dizzy.
Tear in eye your dress you’ll tear,
So shall I! Oh, hear my prayer,
Pray, console your loving poet,
Make my coat look new, dear, sew it!
Just compare heart, beard and heard,
Dies and diet, lord and word,
Sword and sward, retain and Britain.
(Mind the latter, how it’s written).
Made has not the sound of bade,
Say said, pay-paid, laid, but plaid.
Now I surely will not plague you
With such words as vague and ague,
But be careful how you speak,
Say break, steak, but bleak and streak.
Previous, precious, fuchsia, via,
Pipe, snipe, recipe and choir,
Cloven, oven, how and low,
Script, receipt, shoe, poem, toe.
Hear me say, devoid of trickery:
Daughter, laughter and Terpsichore,
Typhoid, measles, topsails, aisles.
Exiles, similes, reviles.
Wholly, holly, signal, signing.
Thames, examining, combining
Scholar, vicar, and cigar,
Solar, mica, war, and far.
From “desire”: desirable–admirable from “admire.”
Lumber, plumber, bier, but brier.
Chatham, brougham, renown, but known.
Knowledge, done, but gone and tone,
One, anemone. Balmoral.
Kitchen, lichen, laundry, laurel,
Gertrude, German, wind, and mind.
Scene, Melpomene, mankind,
Tortoise, turquoise, chamois-leather,
Reading, reading, heathen, heather.
This phonetic labyrinth
Gives moss, gross, brook, brooch, ninth, plinth.
Billet does not end like ballet;
Bouquet, wallet, mallet, chalet;
Blood and flood are not like food,
Nor is mould like should and would.
Banquet is not nearly parquet,
Which is said to rime with “darky.”
Viscous, Viscount, load, and broad.
Toward, to forward, to reward.
And your pronunciation’s O.K.,
When you say correctly: croquet.
Rounded, wounded, grieve, and sieve,
Friend and fiend, alive, and live,
Liberty, library, heave, and heaven,
Rachel, ache, moustache, eleven,
We say hallowed, but allowed,
People, leopard, towed, but vowed.
Mark the difference, moreover,
Between mover, plover, Dover,
Leeches, breeches, wise, precise,
Chalice, but police, and lice.
Camel, constable, unstable,
Principle, disciple, label,
Petal, penal, and canal,
Wait, surmise, plait, promise, pal.
Suit, suite, ruin, circuit, conduit,
Rime with “shirk it” and “beyond it.”
But it is not hard to tell,
Why it’s pall, mall, but Pall Mall.
Muscle, muscular, gaol, iron,
Timber, climber, bullion, lion,
Worm and storm, chaise, chaos, and chair,
Senator, spectator, mayor,
Ivy, privy, famous, clamour
And enamour rime with hammer.
Pussy, hussy, and possess,
Desert, but dessert, address.
Golf, wolf, countenance, lieutenants.
Hoist, in lieu of flags, left pennants.
River, rival, tomb, bomb, comb,
Doll and roll and some and home.
Stranger does not rime with anger.
Neither does devour with clangour.
Soul, but foul and gaunt but aunt.
Font, front, won’t, want, grand, and grant.
Shoes, goes, does. Now first say: finger.
And then: singer, ginger, linger,
Real, zeal, mauve, gauze, and gauge,
Marriage, foliage, mirage, age.
Query does not rime with very,
Nor does fury sound like bury.
Dost, lost, post; and doth, cloth, loth;
Job, Job; blossom, bosom, oath.
Though the difference seems little,
We say actual, but victual.
Seat, sweat; chaste, caste.; Leigh, eight, height;
Put, nut; granite, and unite.
Reefer does not rime with deafer,
Feoffer does, and zephyr, heifer.
Dull, bull, Geoffrey, George, ate, late,
Hint, pint, Senate, but sedate.
Scenic, Arabic, Pacific,
Science, conscience, scientific,
Tour, but our and succour, four,
Gas, alas, and Arkansas.
Sea, idea, guinea, area,
Psalm, Maria, but malaria,
Youth, south, southern, cleanse and clean,
Doctrine, turpentine, marine.
Compare alien with Italian,
Dandelion with battalion.
Sally with ally, yea, ye,
Eye, I, ay, aye, whey, key, quay.
Say aver, but ever, fever.
Neither, leisure, skein, receiver.
Never guess–it is not safe:
We say calves, valves, half, but Ralph.
Heron, granary, canary,
Crevice and device, and eyrie,
Face but preface, but efface,
Phlegm, phlegmatic, ass, glass, bass.
Large, but target, gin, give, verging,
Ought, out, joust, and scour, but scourging,
Ear but earn, and wear and bear
Do not rime with here, but ere.
Seven is right, but so is even,
Hyphen, roughen, nephew, Stephen,
Monkey, donkey, clerk, and jerk,
Asp, grasp, wasp, and cork and work.
Pronunciation–think of psyche–!
Is a paling, stout and spikey,
Won’t it make you lose your wits,
Writing “groats” and saying “grits”?
It’s a dark abyss or tunnel,
Strewn with stones, like rowlock, gunwale,
Islington and Isle of Wight,
Housewife, verdict, and indict!
Don’t you think so, reader, rather,
Saying lather, bather, father?
Finally: which rimes with “enough”
Though, through, plough, cough, hough, or tough?
Hiccough has the sound of “cup.”
My advice is–give it up!

Sine Plot of Global Temperature of Earth

The Earth has lived more than 4.5 billion years ago and with the evolution of man that just recently took place based on its age, we have very scarce information on what happened on pre-historic time except the remains of the fossil, rocks and other geological antiques available for study. Though still in the very short span of manhood on this planet so far, the global temperature has been going up and down.

Global Temperatures

Global Temperatures

I found this image in one of the discussions in the Analytics group on LinkedIn. You can see an irregular but  seasonal sine of wave of the global temperature of earth when plotted on a time-series horizontal scale. The memories of the eruption of Mount Pinatubo in Pampanga still linger at the back of my head; I think I was on my first few years of primary school when the volcano erupted which destroyed thousands of hectares of field crops and even reached its sulfuric ashes in some provinces in the Visayas.

I am not saying that the contributing factor to the cooling down of the planet is mainly caused by the volcanic eruption but considering the major contributors of warming are solar activities, weather conditions, man-made pollution and and oceanology temperature pattern.

Like I have learned in my Natural Sciences subjects, it is hard to predict when will the volcano erupt. Statistically speaking, if you would perform an additive smoothing or even ARIMA based on the data points in the plot above, the next volcano eruption that may lead to sudden decrease in the global temperature may happen soon. Why?

The gap between the highs and lows in the plots are a few centuries apart. Due to the pollution that greatly affect the warming of the planet, the process of cooling down becomes shorter in span. Mother Earth needs to cool down soon.


On Open Source, Kind Of

Today is the day that I finally decided to let go of Windows on my 5-year old laptop. It was around 3 to 5 years of decision making shifting to Ubuntu. What kept me from doing it? Adobe Audition, Photoshop and Lightroom.

Yes! These three applications that keep me sane whenever I have creative-rush-of-moment are my salvation. Currently, I am trying to work around using the alternatives in the GNU environment but it seems that I might be needing some help from WINE so I can run these. It just basically keeps the jobs done efficiently and smoothly. Otherwise, I might need to install a virtual machine for the sake of running these applications. Nevertheless, my machine runs smoother and faster.

To tell you honestly, giving up these applications was not really my main motivator to move in Ubuntu – it is open source. Most of the applications that are used in Data Science, R and Python, are based on open source. By using more command line syntax rather than GUI, promotes and forces me to relearn the art of coding. Besides, I am set to learn the basics of Linux on edX in the next few months.

Ubuntu 14

Do you see the screenshot? I am trying to install a virtual machine via coding. Can I have some tissue please?

English Composition

English Composition I: Achieving Expertise

My nerd inner self has been turned on! I have been finishing courses on Coursera, Open2Study and I just recently signed up on edX! As what others say, learning doesn’t stop inside the four corners of the classroom as it is an everyday and continuous process until you die.

These past few weeks, I have been very critical and scientific when it comes into my work output. This is common in my chosen field as I deal a lot with data. Statistics is my bread and butter. Normal people do not read boxplots, tree diagrams or association rules. That got me thinking if there is really a communication gap between my statistical and business domain expertise? Note that Data Science also includes programming, too but this happens behind the final outcome of my work. So, I decided to enroll in an English writing class.

This is my first assignment, kind of.

Grammar and I have never been friends. I think this is very empirical that Filipinos are very conscious when they speak or write English because the language is taught ever since we step into preschool years. I could still remember that before my kindergarten graduation, my teacher asked me to write a few words about my dreams and what I wanted to become when I grow up – an architect. She, then, expounded my simple words into a very long valedictory speech which I had to memorize and deliver in front of the my classmates, parents and of course, to my late father and mother.

Life was hard and due to financial constraints, my parents only had the chance to send us, my siblings and I, to a public school. Much to my hardwork and perseverance, I maintained to be in the star section which gave me a lot of opportunities to learn advanced lessons compared to the middle and lower sections. This is where I started to learn to write, not just my name on paper but to actually write essays, read books and study literature.

It was only during highschool that I became very conscious with the mastery of the language. I started avoiding to speak the vernacular during English classes and I have spent a decent amount of time inside the small library of a Christian school where I earned highest honors during the four years of a colorful highschool life. It was a well-paid off valedictory speech again. This time, I had the chance to draft my own which my father put some political kick on it. On the other hand, my English teacher omitted them because of the implication of the school’s stand based on religion. It was a rollercoaster speech!

I did not have the chance to study in my preferred university because I did not really know what to study. So, I ended enrolling in a nearby business school. This was also the time that I started writing a private journal in which I tried to write before bed time (I know that it sounded cliche). Then, one of my closest friends gave me an invite to Livejournal. If you have been on internet for a long time, this was one those that was a great hit the web during 2000’s. My Livejournal account is still active and my first post which I wrote on July 2002 is still active.

A few years back, I decided to start my own self-hosted blog. I made a few extra income with the advertisements as my niche includes photography, fitness and food. I just came back from a long hiatus of blogging because of the heavy workload. To date, I write whatever comes into my mind and part of the reason I joined this class is because I need to rekindle my love for writing. Besides, since that I have been doing Data Science and not a lot of people understand data analysis and Statistics, this is a perfect opportunity for me to hone my writing skill so I can deliver my observation studies hidden behind big data and mathematical jargon to simple and understandable business language.

Feel free to read some of my posts. You may visit my blog on

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