BREAKING NEWS
LATEST POSTS
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László Gaál – Google Veo2 tests
https://www.linkedin.com/posts/laszloga_veo2-activity-7278344748464029696-z18_
https://www.linkedin.com/posts/laszloga_veo2-veo2-activity-7279424228779507712-zDgC
https://www.linkedin.com/posts/laszloga_veo2-activity-7280530104722583552-tGgJ
https://www.linkedin.com/posts/laszloga_veo2-activity-7280881794663510016-e8i8
https://www.linkedin.com/posts/laszloga_veo2-activity-7277947758932606976–7i9
https://www.linkedin.com/posts/laszloga_veo2-activity-7283050136446935041-EJGs
FEATURED POSTS
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Composition – 5 tips for creating perfect cinematic lighting and making your work look stunning
http://www.diyphotography.net/5-tips-creating-perfect-cinematic-lighting-making-work-look-stunning/
1. Learn the rules of lighting
2. Learn when to break the rules
3. Make your key light larger
4. Reverse keying
5. Always be backlighting
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copypastecharacter.com – alphabets, special characters, alt codes and symbols library
https://www.copypastecharacter.com
https://www.freecodecamp.org/news/alt-codes-special-characters-keyboard-symbols-windows-list/
Most used ones:
Alt + 0149 • bullet point
Alt + 0153 ™ trademark symbol
Alt + 0169 © copyright symbol
Alt + 0174 ® registered trademark symbol
Alt + 0176 ° degree symbol
Alt + 0177 ± plus-or-minus sign
Alt + 0215 × multiplication sign
Alt + 12 ♀ female sign
Alt + 11 ♂ male sign
Alt + 13 ♪ eighth note
Alt + 14 ♫ beamed eighth note
Alt + 251 √ square root check mark
Alt + 8236 ∞ infinity
Alt + 24 ↑ up arrow
Alt + 25 ↓ down arrow
Alt + 26 → right arrow
Alt + 27 ← left arrow
Alt + 29 ↔ left right arrow
Alt + 94 ^All of them:
૱ ꠸ ┯ ┰ ┱ ┲ ❗ ► ◄ Ă ă 0 1 2 3 4 5 6 7 8 9 Ǖ ǖ Ꞁ ¤ Ð ¢ ℥ Ω ℧ K ℶ ℷ ℸ ⅇ ⅊ ⚌ ⚍ ⚎ ⚏ ⚭ ⚮ ⌀ ⏑ ⏒ ⏓ ⏔ ⏕ ⏖ ⏗ ⏘ ⏙ ⏠ ⏡ ⏦ ᶀ ᶁ ᶂ ᶃ ᶄ ᶆ ᶇ ᶈ ᶉ ᶊ ᶋ ᶌ ᶍ ᶎ ᶏ ᶐ ᶑ ᶒ ᶓ ᶔ ᶕ ᶖ ᶗ ᶘ ᶙ ᶚ ᶸ ᵯ ᵰ ᵴ ᵶ ᵹ ᵼ ᵽ ᵾ ᵿ ⁁ ⁊ ⸜ ⸝ ¶ ¥ £ ⅕ ⅙ ⅛ ⅔ ⅖ ⅗ ⅘ ⅜ ⅚ ⅐ ⅝ ↉ ⅓ ⅑ ⅒ ⅞ ← ↑ → ↓ ↔ ↕ ↖ ↗ ↘ ↙ ↚ ↛ ↜ ↝ ↞ ↟ ↠ ↡ ↢ ↣ ↤ ↥ ↦ ↧ ↨ ↩ ↪ ↫ ↬ ↭ ↮ ↯ ↰ ↱ ↲ ↳ ↴ ↵ ↶ ↷ ↸ ↹ ↺ ↻ ↼ ↽ ↾ ↿ ⇀ ⇁ ⇂ ⇃ ⇄ ⇅ ⇆ ⇇ ⇈ ⇉ ⇊ ⇋ ⇌ ⇍ ⇎ ⇏ ⇐ ⇑ ⇒ ⇓ ⇔ ⇕ ⇖ ⇗ ⇘ ⇙ ⇚ ⇛ ⇜ ⇝ ⇞ ⇟ ⇠ ⇡ ⇢ ⇣ ⇤ ⇥ ⇦ ⇨ ⇩ ⇪ ⇧ ⇫ ⇬ ⇭ ⇮ ⇯ ⇰ ⇱ ⇲ ⇳ ⇴ ⇵ ⇶ ⇷ ⇸ ⇹ ⇺ ⇻ ⇼ ⇽ ⇾ ⇿ ⟰ ⟱ ⟲ ⟳ ⟴ ⟵ ⟶ ⟷ ⟸ ⟹ ⟺ ⟻ ⟼ ⟽ ⟾ ⟿ ⤀ ⤁ ⤂ ⤃ ⤄ ⤅ ⤆ ⤇ ⤈ ⤉ ⤊ ⤋ ⤌ ⤍ ⤎ ⤏ ⤐ ⤑ ⤒ ⤓ ⤔ ⤕ ⤖ ⤗ ⤘ ⤙ ⤚ ⤛ ⤜ ⤝ ⤞ ⤟ ⤠ ⤡ ⤢ ⤣ ⤤ ⤥ ⤦ ⤧ ⤨ ⤩ ⤪ ⤫ ⤬ ⤭ ⤮ ⤯ ⤰ ⤱ ⤲ ⤳ ⤴ ⤵ ⤶ ⤷ ⤸ ⤹ ⤺ ⤻ ⤼ ⤽ ⤾ ⤿ ⥀ ⥁ ⥂ ⥃ ⥄ ⥅ ⥆ ⥇ ⥈ ⥉ ⥊ ⥋ ⥌ ⥍ ⥎ ⥏ ⥐ ⥑ ⥒ ⥓ ⥔ ⥕ ⥖ ⥗ ⥘ ⥙ ⥚ ⥛ ⥜ ⥝ ⥞ ⥟ ⥠ ⥡ ⥢ ⥣ ⥤ ⥥ ⥦ ⥧ ⥨ ⥩ ⥪ ⥫ ⥬ ⥭ ⥮ ⥯ ⥰ ⥱ ⥲ ⥳ ⥴ ⥵ ⥶ ⥷ ⥸ ⥹ ⥺ ⥻ ⥼ ⥽ ⥾ ⥿ ➔ ➘ ➙ ➚ ➛ ➜ ➝ ➞ ➝ ➞ ➟ ➠ ➡ ➢ ➣ ➤ ➥ ➦ ➧ ➨ ➩ ➩ ➪ ➫ ➬ ➭ ➮ ➯ ➱ ➲ ➳ ➴ ➵ ➶ ➷ ➸ ➹ ➺ ➻ ➼ ➽ ➾ ⬀ ⬁ ⬂ ⬃ ⬄ ⬅ ⬆ ⬇ ⬈ ⬉ ⬊ ⬋ ⬌ ⬍ ⬎ ⬏ ⬐ ⬑ ☇ ☈ ⏎ ⍃ ⍄ ⍅ ⍆ ⍇ ⍈ ⍐ ⍗ ⍌ ⍓ ⍍ ⍔ ⍏ ⍖ ♾ ⎌ ☊ ☋ ☌ ☍ ⌃ ⌄ ⌤ ⌅ ⌆ ⌇ ⚋ ⚊ ⌌ ⌍ ⌎ ⌏ ⌐ ⌑ ⌔ ⌕ ⌗ ⌙ ⌢ ⌣ ⌯ ⌬ ⌭ ⌮ ⌖ ⌰ ⌱ ⌲ ⌳ ⌴ ⌵ ⌶ ⌷ ⌸ ⌹ ⌺ ⌻ ⌼ ⍯ ⍰ ⌽ ⌾ ⌿ ⍀ ⍁ ⍂ ⍉ ⍊ ⍋ ⍎ ⍏ ⍑ ⍒ ⍕ ⍖ ⍘ ⍙ ⍚ ⍛ ⍜ ⍝ ⍞ ⍠ ⍟ ⍡ ⍢ ⍣ ⍤ ⍥ ⍨ ⍩ ⍦ ⍧ ⍬ ⍿ ⍪ ⍮ ⍫ ⍱ ⍲ ⍭ ⍳ ⍴ ⍵ ⍶ ⍷ ⍸ ⍹ ⍺ ⍼ ⍽ ⍾ ⎀ ⎁ ⎂ ⎃ ⎄ ⎅ ⎆ ⎉ ⎊ ⎋ ⎍ ⎎ ⎏ ⎐ ⎑ ⎒ ⎓ ⎔ ⎕ ⏣ ⌓ ⏥ ⏢ ⎖ ⎲ ⎳ ⎴ ⎵ ⎶ ⎸ ⎹ ⎺ ⎻ ⎼ ⎽ ⎾ ⎿ ⏀ ⏁ ⏂ ⏃ ⏄ ⏅ ⏆ ⏇ ⏈ ⏉ ⏉ ⏋ ⏌ ⏍ ⏐ ⏤ ⏚ ⏛ Ⓝ ℰ ⓦ ! ⌘ « » ‹ › ‘ ’ “ ” „ ‚ ❝ ❞ £ ¥ € $ ¢ ¬ ¶ @ § ® © ™ ° × π ± √ ‰ Ω ∞ ≈ ÷ ~ ≠ ¹ ² ³ ½ ¼ ¾ ‐ – — | ⁄ \ [ ] { } † ‡ … · • ● ⌥ ⌃ ⇧ ↩ ¡ ¿ ‽ ⁂ ∴ ∵ ◊ ※ ← → ↑ ↓ ☜ ☞ ☝ ☟ ✔ ★ ☆ ♺ ☼ ☂ ☺ ☹ ☃ ✉ ✿ ✄ ✈ ✌ ✎ ♠ ♦ ♣ ♥ ♪ ♫ ♯ ♀ ♂ α ß Á á À à Å å Ä ä Æ æ Ç ç É é È è Ê ê Í í Ì ì Î î Ñ ñ Ó ó Ò ò Ô ô Ö ö Ø ø Ú ú Ù ù Ü ü Ž ž ₳ ฿ ￠ € ₡ ¢ ₢ ₵ ₫ ￡ £ ₤ ₣ ƒ ₲ ₭ ₥ ₦ ₱ ＄ $ ₮ ₩ ￦ ¥ ￥ ₴ ₰ ¤ ៛ ₪ ₯ ₠ ₧ ₨ ௹ ﷼ ㍐ ৲ ৳ ~ ƻ Ƽ ƽ ¹ ¸ ¬ ¨ ɂ ǁ ¯ Ɂ ǂ ¡ ´ ° ꟾ ¦ } { | . , · ] ) [ / _ \ ¿ º § ” * – + ( ! & % $ ¼ ¾ ½ ¶ © ® @ ẟ Ɀ ` Ȿ ^ ꜠ ꜡ ỻ ‘ = : ; < ꞌ Ꞌ ꞊ ꞁ ꞈ ꞉ > ? ÷ ℾ ℿ ℔ ℩ ℉ ⅀ ℈ þ ð Þ µ ª ꝋ ꜿ Ꜿ ⱽ ⱺ ⱹ ⱷ ⱶ Ⱶ ⱴ ⱱ Ɒ ⱦ ȶ ȴ ȣ Ȣ ȡ ȝ Ȝ ț ȋ Ȋ ȉ Ȉ ǯ Ǯ ǃ ǀ ƿ ƾ ƺ ƹ Ƹ Ʒ Ʋ ư ƪ ƣ Ƣ Ɵ ƛ Ɩ ƕ ƍ ſ ỽ ⸀ ⸁ ⸂ ⸃ ⸄ ⸅ ⸆ ⸇ ⸈ ⸉ ⸊ ⸋ ⸌ ⸍ ⸎ ⸏ ⸐ ⸑ ⸒ ⸔ ⸕ ▲ ▼ ◀ ▶ ◢ ◣ ◥ ◤ △ ▽ ◿ ◺ ◹ ◸ ▴ ▾ ◂ ▸ ▵ ▿ ◃ ▹ ◁ ▷ ◅ ▻ ◬ ⟁ ⧋ ⧊ ⊿ ∆ ∇ ◭ ◮ ⧩ ⧨ ⌔ ⟐ ◇ ◆ ◈ ⬖ ⬗ ⬘ ⬙ ⬠ ⬡ ⎔ ⋄ ◊ ⧫ ⬢ ⬣ ▰ ▪ ◼ ▮ ◾ ▗ ▖ ■ ∎ ▃ ▄ ▅ ▆ ▇ █ ▌ ▐ ▍ ▎ ▉ ▊ ▋ ❘ ❙ ❚ ▀ ▘ ▝ ▙ ▚ ▛ ▜ ▟ ▞ ░ ▒ ▓ ▂ ▁ ▬ ▔ ▫ ▯ ▭ ▱ ◽ □ ◻ ▢ ⊞ ⊡ ⊟ ⊠ ▣ ▤ ▥ ▦ ⬚ ▧ ▨ ▩ ⬓ ◧ ⬒ ◨ ◩ ◪ ⬔ ⬕ ❏ ❐ ❑ ❒ ⧈ ◰ ◱ ◳ ◲ ◫ ⧇ ⧅ ⧄ ⍁ ⍂ ⟡ ⧉ ⚬ ○ ⚪ ◌ ◍ ◎ ◯ ❍ ◉ ⦾ ⊙ ⦿ ⊜ ⊖ ⊘ ⊚ ⊛ ⊝ ● ⚫ ⦁ ◐ ◑ ◒ ◓ ◔ ◕ ⦶ ⦸ ◵ ◴ ◶ ◷ ⊕ ⊗ ⦇ ⦈ ⦉ ⦊ ❨ ❩ ⸨ ⸩ ◖ ◗ ❪ ❫ ❮ ❯ ❬ ❭ ❰ ❱ ⊏ ⊐ ⊑ ⊒ ◘ ◙ ◚ ◛ ◜ ◝ ◞ ◟ ◠ ◡ ⋒ ⋓ ⋐ ⋑ ╰ ╮ ╭ ╯ ⌒ ╳ ✕ ╱ ╲ ⧸ ⧹ ⌓ ◦ ❖ ✖ ✚ ✜
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Survivorship Bias: The error resulting from systematically focusing on successes and ignoring failures. How a young statistician saved his planes during WW2.
A young statistician saved their lives.
His insight (and how it can change yours):
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During World War II, the U.S. wanted to add reinforcement armor to specific areas of its planes.
Analysts examined returning bombers, plotted the bullet holes and damage on them (as in the image below), and came to the conclusion that adding armor to the tail, body, and wings would improve their odds of survival.
But a young statistician named Abraham Wald noted that this would be a tragic mistake. By only plotting data on the planes that returned, they were systematically omitting the data on a critical, informative subset: The planes that were damaged and unable to return.
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Key/Fill ratios and scene composition using false colors and Nuke node
To measure the contrast ratio you will need a light meter. The process starts with you measuring the main source of light, or the key light.
Get a reading from the brightest area on the face of your subject. Then, measure the area lit by the secondary light, or fill light. To make sense of what you have just measured you have to understand that the information you have just gathered is in F-stops, a measure of light. With each additional F-stop, for example going one stop from f/1.4 to f/2.0, you create a doubling of light. The reverse is also true; moving one stop from f/8.0 to f/5.6 results in a halving of the light.
