subtitlecat.com

All language subtitles for 1. Exercise The Power Of Estimation

Afrikaans

Albanian

Amharic

Arabic Download

Armenian

Azerbaijani

Basque

Belarusian

Bengali

Bosnian

Bulgarian

Catalan

Cebuano

Chichewa

Chinese (Simplified)

Chinese (Traditional)

Corsican

Croatian

Czech

Danish

Dutch

English

Esperanto

Estonian

Filipino

Finnish

French

Frisian

Galician

Georgian

German

Greek

Gujarati

Haitian Creole

Hausa

Hawaiian

Hebrew

Hindi

Hmong

Hungarian

Icelandic

Igbo

Indonesian

Irish

Italian

Japanese

Javanese

Kannada

Kazakh

Khmer

Korean

Kurdish (Kurmanji)

Kyrgyz

Lao

Latin

Latvian

Lithuanian

Luxembourgish

Macedonian

Malagasy

Malay

Malayalam

Maltese

Maori

Marathi

Mongolian

Myanmar (Burmese)

Nepali

Norwegian

Pashto

Persian

Polish

Portuguese

Punjabi

Romanian

Russian

Samoan

Scots Gaelic

Serbian

Sesotho

Shona

Sindhi

Sinhala

Slovak

Slovenian

Somali

Spanish

Sundanese

Swahili

Swedish

Tajik

Tamil

Telugu

Thai

Turkish

Ukrainian

Urdu

Uzbek

Vietnamese

Welsh

Xhosa

Yiddish

Yoruba

Zulu

Odia (Oriya)

Kinyarwanda

Turkmen

Tatar

Uyghur

Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 1 00:00:00,750 --> 00:00:02,550 Now, let's look at the practical essentials 2 2 00:00:02,550 --> 00:00:05,593 of everyone's favorite subject, estimating. 3 3 00:00:07,080 --> 00:00:09,530 First, let's try an exercise 4 4 00:00:09,530 --> 00:00:11,960 that demonstrates that an estimate with any analysis 5 5 00:00:11,960 --> 00:00:15,123 behind it at all can come surprisingly close. 6 6 00:00:16,330 --> 00:00:19,570 For example, your mission is to estimate 7 7 00:00:19,570 --> 00:00:22,393 the number of piano tuners in the city you live in. 8 8 00:00:23,740 --> 00:00:25,960 You have no input information at all, 9 9 00:00:25,960 --> 00:00:27,363 no consulting the internet. 10 10 00:00:28,930 --> 00:00:32,270 How can you break down the analysis? 11 11 00:00:32,270 --> 00:00:34,363 What is the estimate based on? 12 12 00:00:35,570 --> 00:00:37,543 Pause the video, and give it a shot. 13 13 00:00:41,052 --> 00:00:43,350 Now that you have structured the estimate, 14 14 00:00:43,350 --> 00:00:45,263 how close do you think it actually is? 15 15 00:00:46,980 --> 00:00:49,760 Imagine if you were able to research the estimate 16 16 00:00:49,760 --> 00:00:52,060 and base it on some hard data, 17 17 00:00:52,060 --> 00:00:54,360 can you see that estimates with any analysis 18 18 00:00:54,360 --> 00:00:56,793 behind them can get very close? 1546